August 14, 2026 | NCFA Market Activity | Payments Infrastructure And Money Movement, SME Finance And Business Banking, Embedded Finance
Dream Payments Launches U.S. Real-Time Payouts With J.P. Morgan
On August 11, 2026, Toronto-based Dream Payments launchedDream Payouts, a U.S. real-time business payment networkwith J.P. Morgan Payments. The platform lets eligible U.S. businesses pay suppliers, contractors and other recipients using an email address, with qualifying payments delivered through The Clearing House RTP network.
Dream isn't building a new payment rail. It's putting bank accounts, supplier onboarding, payment controls and real-time payouts into software businesses already use.
That gives Dream a potentially valuable position between the bank infrastructure that moves the money and the business workflow that decides when, where and why it should move.
How Dream Payouts Works
A business enters a supplier's email address. Dream then invites the recipient into its Payee Portal, where they verify their identity with multi-factor authentication, enter and maintain their own banking information and choose how they want to be paid.
The email itself never carries payment instructions or banking details. Once enrolled, a recipient can receive future payments without the payer collecting or manually updating their account information. Eligible RTP payments can arrive in under 30 seconds, including nights, weekends and holidays. ACH and wire are available when real-time delivery isn't available or isn't selected.
Businesses can fund payments through Dream Wallet, a payments account provided through J.P. Morgan subject to eligibility and account-opening requirements. Dream also separates payment requests from payment release through roles, limits and approval workflows, while transactions are tracked from initiation through settlement. That is more useful than speed alone. Supplier payments still require banking information, approvals, payment status and reconciliation. Dream is bringing those steps into one controlled workflow.
RTP Turns Real-Time Payments Into A Software Feature
As of July 2026, The Clearing House RTP network had more than 1,322 participating financial institutions. It operates around the clock, settles payments with finality and supports transactions up to US$10 million. The network processed 142 million payments worth US$576 billion in the second quarter of 2026.
Dream Payouts identifies RTP for eligible real-time delivery. Its public launch material doesn't say FedNow is part of the current product, so the two networks shouldn't be treated as interchangeable.
Other payment infrastructure providers are also making instant-payment rails easier to access through software. The competitive question is becoming less about connecting to a rail and more about what a provider builds around it.
Dream combines a J.P. Morgan-provided payments account, recipient onboarding, payment controls and embedded distribution. Mantle shows how that can work. The family-office software platform has embedded Dream Payouts so a capital call can be reviewed, approved and paid inside the same system where the obligation is managed. The payment becomes part of the workflow instead of a separate trip to a bank portal.
Dream Payments Built From POS To Embedded Payments
Dream began in Toronto in 2014 with mobile point-of-sale technology, but its business progressively moved deeper into payment infrastructure.
In 2018, Dream and Mastercard expanded into digital insurance payouts. Northbridge Financial became the first Canadian insurer announced for the service, with Mastercard Send connecting Dream's infrastructure to claims disbursements.
In 2024, Dream launched DreamPay embedded payments across North America, bringing payment collection, payouts and orchestration into an API-based platform for financial institutions, insurers and software companies.
The J.P. Morgan relationship also predates Dream Payouts. In 2025, Dream launched a North American insurance payment network using J.P. Morgan Payments' banking infrastructure, treasury services and pay-in and payout rails.
Dream has been applying the same model in Canada. In May 2026, Dream DriverPay began rolling out with Script Runner, allowing healthcare delivery drivers to receive earnings through Interac e-Transfer for Business using an email address or mobile number.
Dream Payouts takes that operating model beyond a specific industry. The company is testing whether recipient onboarding, payment controls and bank-rail access can become reusable infrastructure for U.S. businesses and the software platforms serving them.
AI Agents Add A New Payment-Control Test
Dream says software platforms can use the infrastructure as a foundation for AI agents to initiate, approve and reconcile payments.
Dream Payouts already separates payment requests from payment release through roles, limits and approval workflows. Its public material doesn't establish that an AI agent can independently release company funds without those controls.
As AI agents enter payment workflows, the commercial question is practical: what can software initiate, what still requires approval and who is accountable when money leaves the account?
Dream Payments Expands Canadian Fintech Infrastructure Into The U.S.
Dream Payouts is a U.S. product built on U.S. banking and instant-payment infrastructure, but the company behind it remains headquartered in Toronto.
Canada shouldn't be reduced to a comparison about payment speed. Dream already uses Interac e-Transfer for Business for embedded payouts here, while its U.S. products connect to different rails and banking infrastructure.
Dream doesn't need to own the underlying rail if it can make different rails easier to use inside insurance platforms, healthcare systems, family-office software and other business applications.
Banks retain the regulated accounts and payment infrastructure while companies such as Dream compete to own more of the software, controls and workflow around each transaction.
Talking Point
If banks own the accounts and payment rails but fintechs increasingly own the onboarding, controls and software workflow around them, which layer will own the most valuable business relationship?
NCFA Company Intelligence Snapshot
Dream Payments
Embedded payment and payout infrastructure for financial institutions, insurers and software platforms
Last updated Aug 13, 2026
Company At A Glance
Founded2014
HeadquartersToronto, Ontario
Co-FoundersBrent Ho-Young, Anant Tailor and Long Van; original venture history also includes Greg Wolfond
CEOBrent Ho-Young
StatusPrivate
Capital / Funding$27.5M historical funding reported by 2018; current cumulative funding not publicly verified
Core PlatformDreamPay
ProductsPayment acceptance, payouts, orchestration, payment accounts and embedded payment APIs
CustomersFinancial institutions, insurers, software platforms and enterprises
MarketsCanada and United States
Milestones
Select a milestone to follow Dream Payments’ development
1Launch2014–2015
2U.S. Expansion2016–2017
3Insurance Payouts2018
4DreamPay2024
5J.P. Morgan Network2025
6Business Payouts2026
Milestone 1
Mobile Payments Launch (2014–2015)
Dream Payments was founded in Toronto in 2014 and initially built mobile point-of-sale technology for financial institutions and merchants.
Company
Dream PaymentsToronto financial technology company focused on digital payments
Stage
LaunchMobile point-of-sale was the first commercial product
Capital
$6M RoundEarly venture funding supported product development
Markets
CanadaInitial commercialization centred on Canadian payments
Customers
Banks And MerchantsFinancial institutions became an important distribution channel
Competition
Bank DistributionDream supplied technology that financial institutions could put in front of business customers
Additional Company Data
Dream was founded in Toronto in 2014
The original product supported mobile card acceptance
Financial institutions became an early route to business customers
NCFA Perspective
Dream started by helping financial institutions modernize merchant payments. That distribution model remains visible today: the company builds around regulated financial infrastructure rather than trying to replace it.
Milestone 2
Capital And U.S. Expansion (2016–2017)
Dream raised additional capital and expanded into the United States, investing in its payments cloud and third-party application ecosystem.
Company
Dream PaymentsThe company extended its payments infrastructure beyond Canada
Stage
U.S. ExpansionAmerican operations became a funded growth priority
Capital
$10M Series APart of $27.5M in historical funding reported by 2018
Markets
Canada And U.S.U.S. expansion began years before the current Dream Payouts launch
Customers
Financial InstitutionsBanks remained an important route to business users
Competition
Payments CloudThe product began expanding beyond a mobile payment terminal
Additional Company Data
A $1.5 million Connecticut Innovations financing preceded the Series A
The Series A supported U.S. expansion and third-party applications
Dream's U.S. strategy therefore predates Dream Payouts by almost a decade
NCFA Perspective
The U.S. market isn't new territory for Dream. The 2026 launch is better understood as a larger use of infrastructure the company has been building across both countries for years.
Milestone 3
Insurance Payments Move Into Software (2018)
Dream and Mastercard expanded the company beyond merchant acceptance into digital insurance payouts. Mastercard Send connected Dream's infrastructure to claims disbursements, with Northbridge Financial becoming the first Canadian insurer announced for the service and a Dream Claims Payments API following later in 2018.
Company
Dream Payments HubInsurance payouts became a larger part of the company's payment infrastructure
Stage
Embedded PayoutsPayment execution moved inside insurance workflows
Capital
Platform InvestmentEarlier growth capital supported payment APIs and partner integrations
Markets
Canada And U.S.The insurance strategy was designed for North American expansion
Customers
InsurersClaims teams could connect digital payouts to existing systems
Competition
Embedded ClaimsDream competed on integration and payout execution rather than payment acceptance alone
Additional Company Data
Mastercard announced the global Dream partnership in February 2018
Northbridge Financial was the first Canadian insurer announced for the service
The model gave insurers a way to digitize claims disbursements through existing systems
NCFA Perspective
This is where Dream began looking much more like infrastructure. Payment execution became a capability another company could put inside its own software and customer experience.
Milestone 4
DreamPay Platform Launch (2024)
Dream launched DreamPay as a North American API and embedded-payments platform for financial institutions, insurers and software companies.
Company
DreamPayPayment capabilities were brought together under a wider API platform
Stage
PlatformDream expanded from individual products into reusable payment infrastructure
Capital
PrivateNo new financing tied to the launch was publicly disclosed
Markets
North AmericaThe platform was launched across Canada and the United States
Customers
Banks, Insurers And PlatformsEnterprise and software workflows became core distribution channels
The platform supports payment collection, payouts and orchestration
Financial products can be embedded into partner applications through APIs
NCFA Perspective
DreamPay made the company's strategy clearer. The product was no longer a collection of payment services. It was becoming a reusable layer between financial infrastructure and business software.
Milestone 5
J.P. Morgan Insurance Network (2025)
Dream launched a North American insurance payment network using J.P. Morgan Payments' banking infrastructure, treasury services and pay-in and payout rails.
Company
DreamPay Insurance Payment HubPremium collection and claims payouts operate through one payment platform
Stage
Institutional InfrastructureDream combined its software with J.P. Morgan payment capabilities
Capital
Bank InfrastructureThe relationship expands operating capacity without Dream becoming the bank
Markets
Canada And U.S.One platform supports insurance payment workflows across both markets
Customers
Insurance IndustryCarriers, MGAs, TPAs and insurance software platforms
Competition
Bank + Fintech StackJ.P. Morgan provides banking and payment infrastructure while Dream provides workflow and integration
Additional Company Data
The platform supports both premium collection and claims payments
J.P. Morgan infrastructure supports U.S. real-time payments and ACH alongside Canadian payment methods
Insurity was identified as the first insurance software platform to embed Dream's payment services
NCFA Perspective
Dream doesn't need to become the bank to control an important part of the payment experience. J.P. Morgan supplies regulated banking and payment infrastructure while Dream puts that infrastructure inside the software insurers and businesses already use.
Milestone 6
U.S. Business Payout Network (2026)
Dream expanded its infrastructure to eligible U.S. businesses through Dream Payouts, combining a J.P. Morgan-provided payments account, supplier onboarding, RTP delivery, payment controls and software-platform integration.
Company
Dream PayoutsBusiness payout infrastructure built on Dream's wider payment platform
Stage
U.S. Business NetworkDream is extending beyond industry-specific payment products
Capital
Dream WalletPayments account provided through J.P. Morgan subject to eligibility and onboarding
Markets
United StatesAvailable now to eligible U.S. businesses
Customers
Businesses And Software PlatformsCompanies can pay suppliers, contractors and other recipients directly or through embedded software
Competition
Workflow + Rail AccessRecipient onboarding and payment controls sit alongside real-time payment access
Additional Company Data
Eligible RTP payments can arrive in under 30 seconds
ACH and wire remain available when RTP isn't available or selected
Mantle has embedded Dream Payouts for family-office capital-call workflows
Roles, limits and approval workflows control payment release
Dream positions AI agents as an emerging use case, but autonomous release of customer funds hasn't been established publicly
NCFA Perspective
Dream is competing for more of the workflow around a business payment. The commercial test is whether businesses and software platforms choose Dream as the layer connecting their operating systems to bank payment infrastructure.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 13, 2026 | NCFA Market Activity | Digital Assets Blockchain And Tokenization, Capital Markets Infrastructure And Funding, Regulation And Policy
Coinbase Tests How Regulated Securities Can Work Onchain
On August 11, 2026, Coinbase received Financial Services Permission from the Financial Services Regulatory Authority of Abu Dhabi Global Market to establish a regulated tokenization hub in Abu Dhabi, allowing it to arrange investment deals and provide custody for tokenized securities.
The licence gives Coinbase a regulated structure for putting share-backed securities into digital wallets while keeping investor rights, sanctions controls and securities rules attached. The real test is whether tokenized securities can work in digital wallets without losing the investor rights and controls behind them.
The Token Comes With Conditions
Coinbase says securities issued through the ADGM structure are fully backed by underlying shares and can give verified holders economic and voting rights.
The terms are more specific. Only securities that meet the prospectus's vesting conditions carry certain rights, including voting. Dividends are automatically reinvested, while redemption is limited to eligible vested holders. Investors exercising redemption also need an appropriate brokerage or bank account capable of receiving the proceeds.
The FSRA approved prospectus register shows the legal structure in practice. Coinbase Onchain SPV Ltd is listed as issuer of NVIDIA CB Certificates, ticker NVDAc, classified as Certificates over Shares. The primary prospectus was approved on August 4, 2026.
Investors therefore aren't simply holding NVIDIA shares on a blockchain. They're holding a Coinbase-issued security linked to underlying shares, with ownership rights governed by the certificate and prospectus.
That point matters as tokenized securities develop measurable business models around custody, distribution, liquidity and investor rights. The technology can change how a security is held and transferred without removing the legal machinery underneath it.
Wallet Access Doesn't Make The Security Permissionless
Coinbase says investors transacting only in these digital securities don't need to establish a traditional brokerage account or correspondent banking relationship. They need a wallet.
Every transfer is still subject to sanctions screening, and Coinbase says assets can be frozen or seized at the wallet level when required.
That puts the wallet in a different role from the early crypto idea of bypassing financial intermediaries. It becomes another way to distribute and hold a regulated security while identity, custody, corporate actions and redemption remain part of the system.
Several operating details aren't public yet. Coinbase hasn't disclosed the full range of securities, all eligible jurisdictions, the blockchain network, secondary trading venues or how freely the securities can move between third-party wallets and applications.
Those details will determine the scope of the hub as market infrastructure or it remains primarily a new distribution channel.
Tokenized Equities Are Competing On Distribution
Coinbase is entering a market where competitors are already testing different ways to connect tokenized securities with traditional market infrastructure.
The value isn't in listing another tokenized stock. It is in making issuance, custody, trading, corporate actions and redemption work well enough that investors can actually use the asset.
Coinbase brings its existing wallet, custody and trading network into that contest. It is also expanding beyond crypto into a wider financial platform, a strategy already visible in the competition between Coinbase and Robinhood across trading, derivatives and new financial products.
Canada remains a separate regulatory market. Coinbase Canada's investment platform expansion includes ambitions around stocks and other products, but the Abu Dhabi authorization doesn't establish approval or availability for Canadian investors.
Talking Point
If tokenized equities can travel through wallets but still depend on issuers, custodians, eligibility rules and redemption infrastructure, how much of the capital market has actually changed?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
Artificial intelligence (AI) is rapidly becoming part of the day-to-day operations of Canadian financial advice firms. From automating administrative tasks and analyzing client portfolios to supporting investment research and improving client communications, AI has the potential to make advisors more efficient and help firms deliver a better client experience.
But as adoption accelerates, governance isn't always keeping pace.
Many firms are experimenting with AI tools before establishing clear policies around how those tools should be used, monitored, and supervised. That creates significant risk in an industry where investment advice is built on trust, accountability, and regulatory compliance.
Using AI without proper governance is a bit like prescribing medication without understanding the side effects or drug interactions. The technology may offer benefits, but without safeguards, oversight, and a clear understanding of the risks, unintended consequences can quickly outweigh the advantages.
For Canadian financial advisors, governance shouldn't be viewed as unnecessary bureaucracy. It's an essential part of responsible innovation.
The Regulatory Landscape Is Evolving
Canada's financial regulatory environment already places significant responsibilities on advisors, and those obligations don't disappear simply because AI enters the picture. The Canadian Investment Regulatory Organization (CIRO), together with provincial securities regulators such as the Ontario Securities Commission (OSC) and the Canadian Securities Administrators (CSA), have made it clear that existing regulatory obligations continue to apply whenever technology influences regulated activities. Firms remain responsible for ensuring investor protection, fair dealing, appropriate supervision, cybersecurity, privacy, and sound governance, regardless of whether decisions are supported by artificial intelligence.
AI governance is no longer simply a future consideration. CIRO's 2026 Compliance Report identifies artificial intelligence and emerging technologies as areas of supervisory focus, signalling that firms should expect regulators to examine how AI systems are being used, what controls are in place, and whether appropriate oversight exists. The message is clear: firms remain accountable for the outcomes produced by the technology they choose to implement.
At its core, Canadian financial advisors continue to operate under well-established regulatory obligations. For most registered firms, this includes complying with Know Your Client (KYC), Know Your Product (KYP), and suitability requirements under the Client Focused Reforms. In certain advisory relationships, such as discretionary portfolio management, a fiduciary duty may also apply. Regardless of the business model, advisors are expected to understand the rationale behind every recommendation they provide and be able to explain why it is appropriate for each client. That expectation becomes much more challenging if an AI system produces recommendations that advisors cannot clearly explain, let alone defend or stress test.
Strong AI Governance Will Be Essential
Explainability is only one piece of the governance puzzle. Firms must also consider data privacy, cybersecurity, recordkeeping, model bias, third-party vendor oversight, and ongoing monitoring of AI systems. Regulators expect firms to demonstrate not only that technology delivers operational benefits, but also that associated risks are identified, documented, and actively managed.
History provides plenty of reasons for this scrutiny. AI systems used in other industries, such as HR, have produced biased hiring decisions, inaccurate healthcare recommendations, and flawed credit assessments due to inadequate oversight or unintended algorithmic behaviour. Financial advice firms cannot assume similar issues won't emerge within investment or wealth management applications.
Another emerging consideration is AI-generated investment commentary. Recent guidance from the CSA and CIRO reinforces that securities laws apply regardless of how investment recommendations are delivered. Whether commentary comes from a financial advisor, an online platform, or an AI-powered tool, firms remain responsible for ensuring communications comply with applicable registration, disclosure, and investor protection requirements. AI cannot be used to distance a firm from its regulatory responsibilities; introducing it does not reduce those responsibilities. If anything, it increases the need for governance.
Build Governance Before Expanding AI
Strong AI governance starts long before a new tool is deployed. Rather than allowing employees to independently adopt AI solutions across different departments, firms should first define exactly where AI will be used and where human expertise must remain central to the decision-making process. Administrative automation, document summarization, workflow management, and research support may represent lower-risk applications than suitability assessments, portfolio recommendations, or investment decisions that directly affect clients. Establishing clear use cases helps prevent AI from gradually expanding into areas where the risks may outweigh the benefits.
Governance also requires clear accountability. Every AI-enabled process should have an identified owner who is responsible for monitoring performance, addressing concerns, and escalating issues when necessary. Responsibility cannot rest with the software itself. Human accountability remains essential.
Transparency should be another guiding principle. Clients deserve to understand when AI contributes to services they receive, particularly if it influences recommendations, communications, or financial planning outputs. Transparency builds trust while helping clients better understand how technology supports, rather than replaces, professional judgment.
Bias testing is equally important because AI models learn from historical data, which can contain unintended biases. If left unchecked, algorithms may produce outcomes that disadvantage certain investor groups or reinforce patterns that conflict with principles of fairness and equal access. Regular testing allows firms to identify and correct these issues before they affect clients. The objective isn't simply to deploy AI; it's to deploy AI responsibly.
Turning Governance Into Daily Practice
Creating governance policies is only the first step. Maintaining them requires ongoing operational discipline. There are some daily practices that could help firms in this aspect:
Proper documentation: Every meaningful AI-assisted recommendation or decision should be properly documented. Firms should be able to demonstrate how information was generated, how it was reviewed, and how the final recommendation was reached. Comprehensive documentation not only supports internal quality control but also prepares firms for future regulatory reviews.
Continuous monitoring: AI systems are not static. Performance can change over time as market conditions evolve, new data becomes available, or models begin exhibiting algorithmic drift. Regular reviews help ensure systems continue operating as intended while identifying unexpected behaviours before they become larger problems. Many firms may benefit from conducting quarterly governance reviews that assess model performance, review exceptions, evaluate client outcomes, and confirm compliance with internal policies.
Employee education: This should also remain a priority. Advisors need to understand both the strengths and limitations of AI. Training should focus not only on how to use new tools but also on recognizing situations where human judgment should override automated recommendations.
AI should not be treated as a set-and-go replacement for professional expertise. It should be used responsibly as a tool that enhances decision-making and quality investment advice while preserving the experience, judgment, and accountability that clients expect from trusted financial advisors.
Responsible AI Is a Competitive Advantage
AI will undoubtedly reshape financial advice in Canada, but technology alone won't determine which firms succeed. Governance will. Organizations should establish clear policies, maintain transparency, monitor performance, and preserve meaningful human oversight while using AI. Without adequate governance, firms may expose themselves to compliance failures, reputational damage, and increased regulatory scrutiny.
As AI capabilities continue to expand, firms should regularly ask themselves one important question: Could we clearly explain every AI-assisted recommendation to a client and, if necessary, to a regulator? If the answer is yes, governance is likely supporting innovation. If the answer is no, governance deserves attention before AI adoption moves any further.
Ultimately, responsible AI is not a roadblock to the adoption of innovation. It's about ensuring innovation strengthens the quality, integrity, and trust that define professional financial advice.
Nadeem is a Chief Investment Strategist and Portfolio Manager with 20+ years' experience across major global banks, including senior-level roles at RBC, Raymond James, CIBC, Deutsche Bank, and Citigroup. At Marnoa, he leads investment strategy and portfolio management with a focus on North American equities and is a frequent commentator in the media, including regular appearances on BNN Bloomberg.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
The central idea is personal empowerment. Zuckerberg argues that advanced AI should give individuals more ability to create, learn, build businesses, improve their health and pursue their own goals rather than placing most of that intelligence under the control of governments, large institutions or a handful of AI companies.
Meta's vision imagines personal agents working continuously on a user's behalf, small teams building companies that once required much larger organizations, personalized tutors, faster scientific discovery and powerful creative tools available to billions of people.
Meta wants AI capability spread widely, while the compute, models, release decisions and government relationships needed to provide it remain concentrated among a handful of organizations.
Mark Zuckerberg, Founder and CEO, Meta:
“The defining questions of our age are who will have access to superintelligence and what will we direct it towards.”
Meta Is Betting On Invention More Than Automation
One of Zuckerberg's strongest economic arguments is that AI's biggest contribution could come from helping people invent things rather than simply automating today's jobs.
Meta expects individuals to become capable of doing work that currently requires larger teams, more capital or specialized expertise. Zuckerberg predicts more small businesses, more experimentation and potentially more employment as people use AI to create products, services and jobs that don't exist today.
That is a different vision from a future where AI mainly replaces knowledge work. Meta argues that if personal agents increase people's capabilities quickly enough, workers can adapt and new demand can grow alongside automation.
For founders, that could change the economics of starting a company. Product development, research, design, marketing and operations could require fewer people and less initial capital. Small firms could reach meaningful scale much earlier.
Financial services will feel the same pressure. Meta already has AI that can plan work, connect with email and calendars and continue tasks after the user leaves. As agents gain access to financial information and connected services, permissions and accountability become part of the operating model, especially when an agent can act rather than simply advise.
Meta Thinks Distributing AI Can Also Make It Safer
The more unusual part of Zuckerberg's argument is about safety.
He rejects the idea that one centrally controlled superintelligence can be aligned to a single set of values that works for everyone. People disagree about politics, economics, culture and what makes a good life.
Meta's answer is to distribute powerful AI widely enough that people, businesses, governments and competing AI systems check one another.
It is essentially a balance of power argument. One person with vastly better legal, financial or cybersecurity intelligence could gain an enormous advantage. If many people have access to comparable capabilities, Meta argues that power becomes harder to monopolize. (There’s some irony here. Zuckerberg built his fortune by controlling access to data, distribution and network effects that others couldn’t easily replicate.)
That philosophy also influences Meta's approach to alignment. Personal agents should primarily help users pursue their own goals within legal and safety boundaries rather than enforce one company's view of what those goals should be.
Meta says it plans to build a private mode where even Meta can't access a user's information, and it intends to resume releasing some open models. It is also giving its independent board authority to approve safety criteria for model releases rather than leaving those decisions entirely with Zuckerberg or management.
Meta's existing algorithmic products are already under legal scrutiny, including a federal trial involving 29 U.S. states over alleged harm to children. Meta denies the allegations. A company asking people to trust far more capable personal agents will have to show that user empowerment, privacy and safety work in practice. Algorithmic accountability is already moving into the courts as AI and automated systems take on a larger role in people's lives.
The Vision Extends Into Government And Geopolitics
Zuckerberg's decentralization argument has limits.
He wants individuals to have broad access to powerful AI, but he also argues that the United States and its allies should retain leadership in advanced models, silicon and infrastructure. Meta supports continued restrictions on exports of leading chips to geopolitical rivals and wants U.S. policy to make it easier to build data centres and energy capacity.
He also proposes closer cooperation between frontier AI labs and government. Rather than waiting until an advanced model is finished, Meta wants labs to share intermediate model checkpoints and technical staff so governments can identify cybersecurity and other security risks earlier.
The result still leaves considerable power with governments, frontier labs and the companies that control advanced compute. Individuals would gain far more capability. Governments would receive earlier access for security purposes. Independent boards would get more authority over release standards. Frontier labs would still control development of the most capable models.
Meta's vision is therefore decentralized at the user level while retaining substantial institutional coordination at the frontier.
Meta Has To Finance The Future It Is Promising
Meta expects capital spending of US$130 billion to US$145 billion in 2026 and spent US$31.08 billion in the second quarter alone. It is investing in models, data centres, energy, networking, its own chips and outside accelerators while trying to deliver AI across products already used by billions of people.
If personal superintelligence is going to be free or affordable at global scale, someone still has to pay for the compute..
Meta wants superintelligence broadly distributed, but scarce compute still has to be allocated. Its answer is a dynamic auction for additional capacity, which means the vision of AI for everyone could still produce tiers of access based partly on what users can afford. (conflict?)
The business model hasn't been proven. Meta's second quarter free cash flow fell to US$784 million as infrastructure spending accelerated, even while its core advertising business remained highly profitable.
Meta is making these commitments under real pressure. Its infrastructure spending has climbed rapidly, the company is still building the compute capacity and custom chips needed to compete at the frontier, and its existing platforms face growing legal scrutiny.
The scale of the investment also reinforces a central tension in Zuckerberg's vision. Meta wants personal AI to give individuals more power, but only a small number of companies can currently finance the systems needed to provide it.
Canada Should Pay Attention To Access And Agency
Meta's vision has clear upside for Canada.
Canadian entrepreneurs, researchers and smaller businesses could gain access to capabilities they would never be able to finance themselves. If AI lowers the cost of creating companies, learning new skills and developing new products, a smaller economy can participate without matching U.S. frontier model spending dollar for dollar.
Canada is already debating how to keep more domestic intellectual property, capital and compute capacity while using global AI platforms. The country's AI sovereignty debate is partly about preserving enough domestic capability to avoid becoming only a customer of technology developed and controlled elsewhere.
A recent pro-human AI initiative backed by researchers, business and labour groups also argues for human agency, limits on concentrated power and accountability for AI companies. Zuckerberg reaches some similar principles from a very different starting point.
Canada needs enough choice, competition, data control and domestic capability for its companies and citizens to use increasingly powerful AI on their own terms.
Talking Point
Zuckerberg's bet is that superintelligence can give individuals more power to learn, invent, work and build. Meta has the reach and financial capacity to put that idea in front of billions of people. The cost of doing so is already putting heavy pressure on cash flow.Whether users ultimately gain more control will depend on who controls the models, data, compute and rules behind their personal AI.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 13, 2026 | NCFA Resource | Risk Compliance And Regtech, Artificial Intelligence And Data, Regulation And Policy
Machine Readable Rules For Compliance Systems And AI
On August 6, 2026, the UK Financial Conduct Authority launched the FCA Handbook API, giving firms, developers and RegTech providers direct access to structured Handbook data. The free service lets software retrieve current rules, guidance, technical standards and glossary content for use inside compliance and regulatory change systems.
The practical value is real. Firms no longer have to rely only on website searches, monthly downloads or manually maintained rule libraries when they want FCA source material inside their own systems. The API creates a direct route from the Handbook into software that tracks obligations, maps rules to business activities or supports AI assisted compliance work.
What It Does In Practice
The API provides structured access to the FCA Handbook, Technical Standards and Glossary. Users need a free Handbook account, and the FCA says the data can be used in firms’ own applications or through third party technology providers.
The FCA identifies several practical uses:
mapping rules to products, activities and customer journeys
tracking and comparing current and future Handbook changes
feeding regulatory and policy updates into compliance systems
supporting RegTech products with current FCA source data
providing trusted regulatory content to AI tools
AI can help retrieve, classify and compare regulatory information, but the quality of the output still depends on the source material it receives. A direct FCA data feed reduces one common problem which is compliance tools working from copied, stale or inconsistently maintained rule text.
NCFA has already identified this problem in AI powered regulatory reporting. The opportunity isn't simply to add AI to compliance work. Systems need reliable regulatory inputs, clear controls and a way to trace outputs back to the underlying rule or guidance.
The API can also reduce manual work around regulatory updates. Firms can connect Handbook content to internal rule inventories, product governance, control libraries or change management processes rather than repeatedly checking individual pages for updates.
There are some practical access conditions. Users cannot work with the API directly through the Handbook website. They need a compatible external application such as Postman or RapidAPI, or another system built to use the interface. Protected endpoints are also subject to rate limits.
Who Gets Value
The clearest users are compliance teams, legal teams, RegTech providers, financial institutions and fintechs that need FCA rules inside operational systems.
Large firms with internal technology teams can connect the data to their own compliance architecture and tailor how Handbook content is matched to business lines, products or controls.
Smaller firms may get more value indirectly through RegTech providers that use the API to improve rule monitoring, change alerts, obligation management or policy tools.
Developers and AI teams also gain a cleaner source for regulated workflows. For example, a compliance assistant could retrieve relevant Handbook content, compare current and future text, or help staff identify which internal policies may need review after a rule update.
That doesn't make the API a compliance decision engine. A system can retrieve the rule accurately and still reach a poor conclusion about how it applies to a particular firm, product or client situation. Human review, legal interpretation and internal accountability remain necessary.
Strengths And Limits
The main strength is source quality. The API automatically draws from the latest Handbook rather than requiring firms or vendors to maintain their own copy of the rulebook. That can improve consistency and reduce the delay between a Handbook update and its appearance inside a compliance system.
It is also useful that the FCA has made the service available without a separate licence fee. Firms can choose whether to connect directly or use a technology provider, which lowers the barrier for developers and RegTech companies testing new compliance tools.
The API is not a complete regulatory archive. It does not provide historic Handbook versions. Requests for past dates return an error, although current and future versions are available through the API. Firms that need a full historical record will still need the Handbook website, archive tools or their own retained records.
The API also does not cover every piece of FCA information. The FCA Handbook contains rules, guidance and standards, while other FCA publications, supervisory communications, consultations, speeches and notices remain outside that core source. Compliance systems therefore still need broader regulatory monitoring.
Direct access to current regulatory text improves the input, but it does not guarantee accurate interpretation. Firms using AI for compliance should still test outputs, keep records, control permissions and make it clear when a person needs to review the result. The IOSCO AI Supervisory Toolkit provides useful additional guidance on governance, oversight, data quality and control expectations for AI in regulated financial environments.
The FCA Handbook API is most useful when treated as authoritative source infrastructure. It can make regulatory information easier for software to retrieve and keep current, while firms remain responsible for deciding what the rules mean for their own operations.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: [www.ncfacanada.org](http://www.ncfacanada.org)
Winter in Canada is long, cold, and difficult for recreational watercraft. The upcoming boating season for the Great Lakes, Muskoka waterways, and the coastal areas of British Columbia is just around the corner. Without proper spring maintenance, though, you can have a great first outing and end up with a costly rescue.
Prior to entering the lake, do a visual check of all major subsystems of propulsion equipment. If you currently have an old and worn-out outboard motor, or if it has cracks, you have to replace it with a new outboard motor before the high season starts. You can seriously consider looking into quality used outboard motors for sale in Canada. Here is the ultimate outboard motor checklist for safe operation on Canadian waters throughout the summer.
Fuel System Inspection and Flushing
The top reason for engine failure to start up in the spring is due to fuel degradation. As Canadian ethanol blends sit in the atmosphere over time, they tend to separate, with water accumulating at the bottom of the fuel tank.
Check fuel lines and hoses. Check for cracks, stiffness, soft spots, or loose hose clamps that are loose on all rubber lines between the tank and the engine. During the winter months, the cold air dries the rubber and can create a major problem with the hose failing during use.
Change fuel filters and water separators. Change fuel filter and fuel-water separating filter (inline). This will stop any trapped moisture from the winter season getting into the carburetors and fuel injectors.
Assess stale fuel. If the fuel has been previously treated with a quality marine stabilizer before winter storage, fill up the tank with fresh high-octane fuel. If the tank has been filled with gas this winter and not used, empty the tank completely and take the gas to a municipal hazardous waste facility.
A clean and clear fuel delivery circuit ensures proper combustion performance and helps protect delicate engine parts from expensive varnish and corrosion issues.
Battery and Electrical Diagnostics
Marine batteries will use up power even if disconnected if left in cold Canadian storage. Electrical continuity is important for starting, electronic fuel injection (EFI) control, and for operating critical navigation systems.
Terminal cleaning. Come into contact with white corrosion buildup on battery posts and clamps by using a baking soda solution and wire brush.
Voltage & load testing. Fully charge the battery using a multi-stage smart charger, then test it under load. Check it with a digital multimeter or load tester to ensure it's operating at the proper voltage when under load. A marine battery needs to be replaced if it is more than 4-5 years old or if it cannot hold a charge overnight.
Engine wiring and fuse checks. Check for any damaged wires or rodent damage to the wiring in the engine, as well as any engine fuses. Use dielectric grease on large electrical connections to prevent moisture from entering and prevent corrosion from saltwater.
A fully charged, properly connected electrical network means no unwanted power outages away from the dock.
Spark Plugs and Ignition Tune-Up
Clean spark plugs to ensure fast starting and optimal fuel economy during long runs across wide lakes.
Remove and inspect. Pull out each spark plug and check for carbon fouling, oil-heavy buildup, or electrode erosion.
Gap and replace. If the plugs were fogged with anti-corrosion oil during winterization, replace them with new, manufacturer-recommended spark plugs.
Addressing ignition components proactively ensures effortless engine cranking and smooth throttle response on your first voyage of the year.
Lower Unit and Gear Lubrication
The lower unit gearcase houses delicate gear sets and bearings working under extreme pressure. Checking gear lube protects against catastrophic gearcase failure.
Check gear lube quality. Remove the lower drain plug slightly to sample the lubricant. If the oil appears milky or thick grey, water has penetrated the propeller shaft or drive shaft seals.
Drain and refill. If gear lube was not changed during fall winterization, drain it completely and pump in fresh marine gear oil from the bottom port until it flows out the upper vent hole.
Regularly auditing your lower unit lubricant safeguards expensive internal drive gears against moisture intrusion and friction wear.
Cooling System and Impeller Maintenance
Outboard motors rely on raw lake or ocean water for cooling. Running an engine with a failed water pump impeller causes severe overheating within minutes.
Inspect the water pump impeller. Rubber impellers harden, crack, or lose flexibility when stored in cold environments. Marine technicians recommend changing the flexible rubber impeller every 2 to 3 seasons regardless of operating hours.
Clear water intakes. Check lower unit water intake grates for mud, weeds, or debris left over from previous excursions.
Verifying proper water circulation safeguards your powerhead from sudden thermal breakdown during long high-speed runs.
Propeller, Steering, and Control Linkages
Mechanical responsiveness keeps your vessel safe when docking or navigating changing weather conditions.
Propeller removal and inspection. Remove the propeller to check the prop shaft for wrapped monofilament fishing line, which damages shaft seals. Inspect blades for severe dings or bent tips that cause drivetrain vibration. Apply fresh marine grease to the shaft splines before torquing the prop nut and installing a new cotter pin.
Grease fittings and steering cables. Apply marine-grade grease via a grease gun to all Zerk fittings on the swivel bracket, tilt tube, and steering cable linkages. Turn the steering wheel lock-to-lock to ensure smooth movement without binding.
Check power trim/tilt fluids. Check the hydraulic power trim and tilt fluid reservoir level. Top off with appropriate hydraulic fluid if low and check seals for leaks.
Fine-tuning your steering and propulsion linkage hardware guarantees precise handling and effortless maneuverability in tight docking situations.
Testing Your Outboard On the Trailer
Never start an outboard engine dry on land without a continuous water supply. Attach marine water muffs (flushing attachment) connected to a garden hose over the water intake pick-ups before starting.
Start the engine on the trailer and monitor the following:
Water stream (pee hole). Confirm a strong, steady stream of water exits the cooling indicator port within seconds.
Idle stability. Allow the motor to warm up to operating temperature. Verify smooth idle without stalling or sputtering.
Controls operation. Shift briefly into forward and reverse at idle to ensure smooth cable engagement. Test the emergency kill switch cord to verify immediate engine shutdown.
By completing this thorough pre-season inspection, you protect your marine investment and ensure a safe, hassle-free boating season across Canada's waters.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
August 12, 2026 | NCFA Market Activity | Open Banking Open Finance And Data Sharing, Payments Infrastructure And Money Movement, Cross Border Payments And FX
Bank Authentication Modernizes A Familiar Canadian Payment Rail
The Canadian launch is notable because two foreign payment companies are commercializing a Pay by Bank experience here before Canada has a fully operational regulated consumer-driven banking system with payment initiation. Flywire and Trustly are improving how an existing bank payment is authenticated and started rather than waiting for Canada's future open banking payment rails.
The Canadian Payment Still Runs On PAD
Flywire's Canadian payment instructions describe a simple flow. The payer selects Online Bank Transfer in CAD, a Trustly window opens, and the payer signs into their bank. Payment details are filled in automatically and the bank can request additional verification before the payment is authorized.
Flywire says the money is normally debited within 24 hours and delivered to the institution in about five business days. Only personal bank accounts are currently supported. Business and corporate accounts aren't.
The timing tells us the product isn't an instant payment and it isn't using Canada's Real Time Rail. Flywire's own developer documentation identifies its Canadian EFT authorization as a pre-authorized debit agreement (PAD).
Trustly adds the digital layer around that debit, using bank authentication and account data to make the payment easier to initiate inside Flywire.
“Pay by Bank is a term that is too general. Generic essentially. What we really mean is Open Banking-based or -enabled payments over bank rails.”
That description fits the Canadian launch particularly well. The bank rail isn't new. The authentication, data and payment experience around it are what Trustly changes.
Large Payments Give Pay By Bank A Clear Use Case
Flywire specializes in payments where the amount, currency or accounts receivable process can be more complicated than an ordinary checkout. It currently supports more than 5,100 clients across education, healthcare, travel and B2B markets, with payments available in more than 140 currencies across 240 countries and territories.
Its platform processed US$11.4 billion in payment volume during the first quarter of 2026 alone.
Canadian payment options work differently. Flywire lets customers use Interac e-Transfer for payments up to C$3,000, and those payments can arrive quickly. Online bill payment can handle larger amounts, but the payer has to leave Flywire, find Flywire as a biller in online banking and complete the payment there.
Trustly keeps more of that process inside Flywire. The payer signs into their bank and approves the payment without having to set up a biller or copy payment details.
That can be useful for larger payments such as tuition. Flywire hasn't published one Canada-wide Trustly limit, so the amount a payer can send depends partly on the limits set by their bank.
Pay By Bank Is Arriving Before Canadian Open Banking Payments
The terminology needs care because Trustly calls the product an open banking payment while Canada's regulated consumer-driven banking framework is still being implemented.
The federal framework is designed to replace credential sharing with regulated API-based financial data access. Payment initiation, often called write access, belongs to a later phase. As of August 2026, the government is still working on the implementation rules for Canada’s consumer-driven banking framework.
Flywire's Canadian Trustly instructions, by contrast, currently ask the payer to sign into online banking through the Trustly experience. Public documentation doesn't establish that every participating Canadian financial institution is connected through a direct API.
It shows that commercial Pay by Bank services can develop before Canada's regulated framework reaches payment initiation.
The longer-term opportunity gets more interesting when the payment experience and settlement infrastructure improve together. Canada's financial infrastructure is opening to new participants, while the Real Time Rail is intended to bring instant, data-rich clearing and settlement. Flywire and Trustly are showing what fintechs can build above the infrastructure available today.
Talking Point
Flywire and Trustly aren't waiting for Canadian open banking payments to become fully operational. They're bringing an international Pay by Bank model into Canada by adding bank authentication and a cleaner payment experience to PAD infrastructure that already works. For Canadian fintechs, that shows an example of how much product innovation can happen above the payment rail before the rail itself changes.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. 
