Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Category Archives: Venture Funding and Building
AI in Canadian Financial Advice Firms and the Governance Standards That Must Be Followed
Aug 13, 2026
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.
See: AI Agents Enter Governed Financial Workflows
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.
— — —
About The Author
Nadeem Kassam, Marnoa Private Wealth Counsel
Nadeem Kassam, CFA®, MBA
Chief Investment Strategist, Chief Operating Officer & Portfolio Manager at Marnoa Private Wealth Counsel
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
 |  |  |
|---|---|---|
 |  |  |
Zuckerberg’s AI Vision Puts Personal Power First
August 13, 2026 | NCFA Insight | Artificial Intelligence And Data, Competition And Market Structure, Public Sector Policy And Industrial Strategy
Meta Sees Superintelligence Driving Invention, Agency And New Economic Models
On August 10, 2026, Meta published The Future Is For Everyone, Mark Zuckerberg's wide sweeping proposal for how superintelligence should fit into society.
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.)
See: AI Agents Gain Identity And Wallet Access
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.
See: AI’s Hidden Costs In Replacing Junior Workers
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.
See: Meta AI Rules Trigger Calls For Stricter Oversight
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
| | |
|---|---|---|
| | |
FCA Handbook API For Compliance And Regtech
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.
Key Resources
FCA Handbook API Launch (use cases for compliance, RegTech and AI)
FCA Handbook API FAQ (access, current data, limits and usage requirements)
FCA Handbook API (API access and developer entry point)
FCA Handbook (current rules, guidance and technical standards)
AI Powered Regulatory Reporting (regulatory data, automation and AI opportunity)
IOSCO AI Supervisory Toolkit For Capital Markets (AI governance, controls and oversight)
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)
| | |
|---|---|---|
| | |
Preparing Your Boat for Canada’s Boating Season: An Outboard Motor Checklist
Aug 13, 2026
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.
See: Kakeibo: Mindful Budgeting for Financial Wellness
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
| | |
|---|---|---|
| | |
Flywire And Trustly Launch Pay By Bank In Canada
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
On August 12, 2026, Boston-headquartered U.S. payments company Flywire expanded its partnership with Stockholm-headquartered Swedish Pay by Bank provider Trustly to offer Pay by Bank payments in Canada and the United States.
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.
Alex Gonthier, Founder and CEO, Trustly:
“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
| | |
|---|---|---|
| | |
AMD Buys Toronto AI Chip Startup Taalas
August 12, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Capital Markets And Market Infrastructure, Competition And Market Structure
Toronto Chip Design Brings A More Specialized Inference Option
On August 6, 2026, AMD agreed to acquire Taalas, a Toronto AI chip company that designs specialized chips to run individual AI models more efficiently. The price wasn't disclosed and the transaction hasn't closed yet, as it's subject to customary closing conditions and regulatory approvals.
AMD plans to bring Taalas technology into its accelerator portfolio alongside Instinct GPUs. That's a useful clue to the strategy. GPUs remain valuable because they can handle many models and workloads. Taalas gives AMD another option for cases where a model is used often enough that more specialized hardware could lower the cost of running it.
Taalas Reduces The Work Between Memory And Compute
Running an AI model requires processors to work through huge numbers of stored parameters. On conventional accelerators, much of that data has to travel between memory and compute hardware. The transfers take time, consume power and make high bandwidth memory an expensive part of an AI system. Taalas brings more storage and computation onto the same silicon and tailors the hardware to the model being run. The design can reduce the external memory, advanced packaging and data movement required by conventional accelerator systems.
Ljubisa Bajic, Founder and CEO, Taalas:
“The production of optimal silicon for each individual model.”
Its first HC1 demonstrator runs Meta's Llama 3.1 8B model on a TSMC 6nm chip with 53 billion transistors. Taalas packages the system in a 2.5 kW server and currently provides access through a beta inference service and API.
The trade-off is straightforward. A GPU can be reprogrammed for many models. HC1 is largely built around one. It supports different context lengths and LoRA fine tuning, but a substantially different model requires another hardware implementation.
Taalas says it can turn a new model into silicon in about two months. If that process works economically at larger scale, AMD could use specialized chips for mature, heavily used models while keeping programmable accelerators for workloads that change more often.
17,000 Token Benchmark
Taalas says HC1 can generate about 17,000 output tokens per second per user on Llama 3.1 8B using a 1K input and 1K output sequence.
That's a company benchmark. Taalas ran its own HC1 result and measured the Nvidia B200 comparison itself, while several other comparison figures came from Artificial Analysis. It shows what the architecture can do on this model and configuration. It doesn't establish that Taalas hardware is faster than Nvidia or other accelerators across AI inference.
HC1 also uses a custom format combining 3-bit and 6-bit parameters. Taalas acknowledges some loss in model quality compared with GPU benchmarks and says its next generation will use standard 4-bit floating point formats.
The company also reports large advantages in power use and system cost in its comparison. Those claims haven't been independently demonstrated across a wide range of models or production environments. It makes the acquisition a calculated bet. AI companies are spending enormous amounts to train models, but every model that reaches widespread use can create an equally serious inference problem: how to serve millions of requests quickly enough and cheaply enough.
That pressure is already changing how AI infrastructure companies compete on cost and performance. Taalas gives AMD a way to explore much deeper specialization without abandoning the flexibility of Instinct.
Toronto Built A Chip Company AMD Chose To Buy
Taalas was founded in Toronto in 2023 by Ljubisa Bajic, Drago Ignjatovic and Lejla Bajic. The team brought processor experience from AMD, Nvidia and Tenstorrent, which Ljubisa Bajic previously founded.
The company raised US$50 million before emerging from stealth in 2024 and another US$169 million in February 2026, bringing reported funding to about US$219 million. Investors included Quiet Capital, Fidelity and semiconductor investor Pierre Lamond.
Taalas says 24 people developed HC1, which shows how concentrated the engineering effort behind the first chip was.
The deal adds another company to Canada's growing AI hardware record. Toronto and Waterloo based Astrus is working on automated chip design, while Tenstorrent has built a much larger processor business from Toronto.
It also follows another major Canadian semiconductor transaction. U.S.-based Qualcomm agreed in 2025 to acquire Toronto-founded Alphawave Semi for US$2.4 billion, putting another Canadian-founded chip company under foreign ownership.
AMD will control Taalas if this acquisition closes, but it has also said it plans to retain and grow Canadian talent. There is no disclosed commitment to a specific Toronto headcount or to keeping Taalas as a separate company.
That makes the Canadian issue less about whether foreign capital is inherently good or bad and more about how much ownership, intellectual property and future economic value Canada retains as its AI companies scale. Canada's own AI strategy debate has put sovereign capital and domestic IP retention directly on the table.
Talking Point
Taalas raised more than US$200 million, built working silicon and attracted a strategic buyer in about three years. Canada can clearly produce teams and technology that global semiconductor companies want. The difficult question is whether enough domestic capital, procurement and infrastructure exist for more of those companies to scale further before selling.
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
| | |
|---|---|---|
| | |
BlackRock IBQT Adds Bitcoin To Canadian ETF Portfolios
August 11, 2026 | NCFA Market Activity | Wealth Investing And Trading, Digital Assets, Competition And Market Structure
A 3% Bitcoin Allocation Built Into Portfolio Growth
On August 10, 2026, the RBC iShares alliance launched IBQT, a Toronto Stock Exchange ETF combining global equities with a targeted 3% allocation to bitcoin.
The iShares Equity + Bitcoin ETF Portfolio targets a strategic mix of approximately 97% equities and 3% bitcoin. It charges a 0.22% management fee inclusive of underlying iShares ETF fees, is eligible for Canadian registered plans and launched with about C$1 million in assets.
BlackRock introduced its Canadian IBIT in January 2025 as a standalone bitcoin investment product. IBQT currently obtains its bitcoin exposure through IBIT, putting that exposure inside the portfolio construction process. Investors own units of IBQT rather than bitcoin itself.
Portfolio ETFs Create Another Source Of Bitcoin Demand
IBQT changes how the bitcoin allocation is made. An investor doesn't have to choose a separate crypto fund or decide independently how much bitcoin to hold. The allocation is built into the portfolio.
That creates a demand channel tied to assets entering the fund. If IBQT grew to C$100 million while maintaining a 3% bitcoin target, about C$3 million of the portfolio would represent bitcoin exposure. At C$1 billion, the same target would represent about C$30 million.
Rebalancing can create another source of allocation demand when bitcoin's portfolio weight falls below target. BlackRock has not disclosed enough detail to establish a fixed rebalancing schedule or tolerance range, so IBQT should not be treated as a predictable bitcoin buying program.
The structure is still relevant to bitcoin's long term demand base.
Capital can reach bitcoin exposure because an investor bought a diversified portfolio rather than because that investor separately decided to buy a crypto fund.
Fidelity Has Already Tested The Model In Canada
BlackRock isn't first with the idea. Fidelity's All-in-One Equity ETF, FEQT, targets approximately 97% equities and 3% cryptocurrencies and currently obtains its crypto exposure through the Fidelity Advantage Bitcoin ETF.
Fidelity also incorporates smaller crypto allocations into other all-in-one portfolios as their equity exposure declines. Its work integrating bitcoin into conventional investment infrastructure has been developing for years, including efforts to bring bitcoin into portfolio platforms rather than leave crypto entirely outside traditional wealth management.
FEQT alone had about C$5.5 billion in net assets in late July, providing evidence that a portfolio containing a small crypto sleeve can reach substantial scale in Canada.
IBQT adds BlackRock and the RBC iShares distribution platform to that competition. RBC Global Asset Management and BlackRock Canada retain separate fund management responsibilities within the alliance, which now spans more than 240 ETFs and over C$240 billion in assets.
There is also a pricing angle. IBQT launches with a 0.22% management fee inclusive of underlying iShares ETF fees. FEQT reported a 0.43% MER as of March 2026.
Bitcoin Market Check
IBQT is arriving during a much weaker bitcoin market than the environment surrounding the first wave of North American spot bitcoin ETFs.
Bitcoin was trading around US$65,000 on August 10 after a substantial decline earlier in 2026. BlackRock Canada's IBIT had grown to roughly C$390 million in net assets, giving IBQT an established Canadian bitcoin fund through which to obtain its current exposure.
See: Canadian Crypto Ownership Hits 25% In OSC Survey
Recent ETF inflows also show that investor demand can return even while bitcoin remains well below earlier highs. The growth of spot bitcoin investment products has already shown how regulated fund structures can draw both retail and institutional capital. U.S. spot bitcoin and ether ETFs attracted roughly US$1.1 billion in combined net inflows during the week leading into the IBQT launch.
Investors buying IBQT are taking on a small bitcoin allocation during a weaker market, not just after bitcoin has rallied. Portfolio inflows over the next several quarters will provide a better indication of whether this structure can attract capital across different bitcoin market conditions.
Bitcoin Price | 12-Month Market View
BTC/USD market context around the August 10, 2026 launch of BlackRock Canada's IBQT.
Chart: BTC/USD. IBQT began trading on the TSX on August 10, 2026.
Bitcoin risk remains intact. IBQT simplifies access, allocation and custody for the investor. It does not make bitcoin itself less volatile.
Talking Point
IBQT gives bitcoin access to capital that starts with a portfolio decision rather than a separate crypto purchase. Fidelity has already shown the model can reach scale in Canada. BlackRock's entry adds another channel through which growth in conventional investment products can create bitcoin exposure.
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
| | |
|---|---|---|
| | |
