Karsten Wenzlaff, Advisor
August 26th, 2025
July 30, 2026 | NCFA Market Activity | Wealth Investing And Trading, Artificial Intelligence And Data, Identity Privacy And Data Governance

On July 23, 2026, Questrade published beta documentation for a direct connection between selected Canadian investment accounts and AI agents. The Questrade MCP beta currently supports Claude and Claude Code. With the customer's permission, an agent can read approved account and market data, discuss the portfolio and draft an order for review.
Here is the important boundary. Trading permission is switched on separately, and Questrade requires the customer to approve the order before it is submitted. The agent can help get a trade ready. It cannot trade independently in the account.
A general chatbot can discuss markets. Questrade MCP can work with the investor's authorized account data. Once connected, the agent can retrieve approved balances, positions, orders and market information, then combine that context with outside research.
Questrade's live documentation describes both read and write access, although "write" doesn't mean autonomous trading. The agent prepares the instruction. The customer sees the symbol, buy or sell direction, order type, quantity, price, estimated cost and commission, then approves it through Questrade. The agent can't skip that review or place, change or cancel the order on its own.
Customers choose the accounts and permissions. They can share data without allowing trade drafting, and they can revoke the connection through Questrade's API settings. There is an important catch.
Questrade says revocation stops future access but does not remove information already shared with the AI provider. Closing the connection and retrieving previously shared data are two different things.
The connection becomes more interesting beside Custom Indexing. Launched in June, the product uses templates, fractional shares and one click rebalancing across as many as 600 securities. Questrade now says an agent can help build a custom index too. A conversation can therefore produce a structured group of proposed orders, with the customer still deciding whether to proceed.
The timing is hard to ignore. In March, CIRO guidance gave execution only dealers more room to provide tailored education, alerts and other decision support. The core restriction remains. These dealers cannot recommend a security.
Questrade MCP puts that boundary in front of a real customer. The agent can discuss actual holdings and turn a plain language request into a draft order. Questrade says the analysis, orders and custom indices come from the agent and are not its advice or recommendations. The customer is expected to check the work and approve the result.
The disclaimer doesn't settle every responsibility. Questrade still controls authentication, account permissions, the order screen and execution. CIRO's 2026 compliance report says examiners will ask how dealers use AI and test the controls around it. The IOSCO AI toolkit raises similar questions about accountability, data, monitoring and third party providers. Neither regulator has publicly approved Questrade MCP as a product.
Operators will want to see the working details. When does a prompt become an instruction? When might an answer sound like a recommendation? What happens if the agent uses stale information, mistakes a ticker or drafts the wrong order type? A clean record of the request, response, draft and final approval will be just as important as the chat experience.
Questrade enters an active race. Interactive Brokers connected accounts to Claude, ChatGPT and Grok in June. Its customers can research markets and prepare instructions for equities, ETFs, options and futures, but they approve every trade. That is the closest public comparison to Questrade's current model.
Robinhood has gone further in the United States. Its Agentic Account gives a third party agent a dedicated budget and allows trades without direct approval each time. Robinhood warns that the agent can make mistakes, customers can lose their entire investment and the customer remains responsible for monitoring the account.
Questrade's version is closer to assisted execution. The agent can see the authorized account and prepare the action, while Questrade keeps the approval gate. It gives up some autonomy in exchange for a visible decision before each order.
The contest isn't limited to AI connectors. Wealthsimple and bank owned brokerages are already competing to become the main Canadian investment account. Questrade is assembling zero commission trading, real time fractional shares, Custom Indexing and agent access while its parent prepares Questbank. We don't yet know whether customers will use these products together or treat them as separate features.
Where it could work A customer can ask about a portfolio, research an idea and prepare an order without copying balances and tickers between several screens. Custom Indexing could make that especially useful for people managing many positions.
Where it could get messy The account data may be current while the outside information is incomplete. An agent can misunderstand an instruction or produce analysis that a customer hears as advice. The approval screen helps before execution, but it can't resolve every question involving data retention, explanation or customer understanding.
Questrade already has regulated execution, a large Canadian customer base and more than C$80 billion in assets under administration. The open question is usage. If customers repeatedly research and prepare orders through an agent, MCP becomes another front door to the brokerage. If they mostly ask for balances, it remains a convenient connector.
When an AI agent can read a portfolio and prepare a trade, which controls keep useful assistance from becoming an unintended order or advice the dealer isn't allowed to give?
Edward Kholodenko founded Questrade in Toronto in 1999. The company built its early position by offering self directed investors a lower cost alternative to bank owned brokerages.
QuestradeCanadian online brokerage
FormationDigital brokerage entry
PrivateFounder led financial group
CanadaCanadian and US securities access
Self Directed InvestorsCanadians seeking lower trading costs
Bank BrokeragesPrice and digital access define the early contest
The brokerage account created the regulated customer and execution base behind Questrade's later products. Agent access now enters through that same account relationship.
Continue into the regulated AI, brokerage competition and banking developments most closely connected to Questrade.
Questrade MCP remains in beta, and supported agents, permissions and features may change. Product claims are attributed to Questrade and regulatory context is identified separately. This content is provided for informational purposes only and does not constitute investment, financial or legal advice.
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
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July 30, 2026

For many fintech startups, growth is measured by funding rounds, product launches, and landing enterprise customers. But as companies begin pursuing larger clients, they often discover that winning an RFP requires far more than innovative technology. Over time, procurement teams may begin to wonder whether vendors have the workplace practices needed to support long-term partnerships.
At the same time, regulatory expectations are rising. FINTRAC’s annual report 2023–24 issued 12 notices of violation totalling more than $25 million. These actions focus on financial compliance, yet they also reinforce the expectation that organizations demonstrate strong compliance practices well before problems arise. For startups looking to scale, compliance should be viewed as a business enabler rather than a box to check.
Enterprise procurement has changed from simply assessing financial stability. Organizations increasingly evaluate whether prospective vendors have the operational maturity to manage risk across the business.
The Government of Canada's Code of Conduct for Procurement reflects this shift by requiring suppliers to comply with human rights and labour standards, reinforcing that responsible business practices form part of supplier evaluation, not just product performance. Although many fintech startups may not pursue government contracts, the same principles often have a greater influence on enterprise procurement.
Buyers may request documentation of HR policies, employee onboarding practices, workplace training, and governance processes as part of extensive procurement questionnaires. These demonstrate that a growing company has established consistent standards, reduced operational risk, and can scale responsibly alongside its customers.
Rapid hiring is common during periods of growth, but expanding headcount without consistent processes can create risk. As organizations scale, clear documentation becomes crucial for maintaining efficiency across teams.
HR documentation supports the foundation for any business, including employee handbooks, onboarding processes, workplace policies, and role expectations, which help establish shared standards for employees and managers. For growing organizations, that means responsibilities regarding workplace conduct, leave policies, health and safety, confidentiality, and other expectations remain clear.
Beyond reducing administrative confusion, well-documented HR practices demonstrate that a business has built a strong infrastructure that’s prepared to scale. This level of organizational maturity becomes valuable when engaging enterprise customers, investors, and strategic partners who expect scalable internal operations alongside innovative products.
For technology companies, workplace health and safety is not always viewed as important as in more traditional industries. However, modern workplace safety extends well beyond physical hazards.
Embedding psychological health, respectful workplace practices, and consistent safety training into day-to-day operations helps create stronger organizations while demonstrating that employee well-being is treated as a core business responsibility.
Winning enterprise business depends on more than innovation alone. Procurement teams, investors, and regulators all look for signs that an organization has the workplace practices needed to support long-term growth.
For fintech startups, prioritizing compliance early helps strengthen credibility and avoid scrambling to build policies under the pressure of a major RFP. The companies that scale most effectively are often those that treat compliance as part of building a resilient business, not simply as a matter of meeting minimum requirements when opportunity knocks.
About The Author
Kim Morris is the Lead HR Consultant at Citation Canada. She supports employers and people leaders through complex workplace situations, including employee relations and conflict, performance concerns, terminations, and policy questions, with clear, practical next steps. Kim also helps organizations manage change, including restructures, acquisitions, and workforce transitions, balancing compliance with thoughtful communication. She is known for making HR feel workable, consistent, well-documented, and grounded in respect for people.
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
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July 30, 2026

Paying at an online casino used to mean carrying cards, entering PINs, and waiting for transaction confirmations. Mobile technology changed that entirely. Contactless payments have become the standard for fast, secure deposits and withdrawals across gambling platforms. The shift is not cosmetic; it reflects a genuine change in how players manage money on the go. Sites like https://spinboss.com/ca/ have moved with this trend, integrating mobile-first payment options that match how modern players actually behave.
Understanding what contactless technology means in practice, how it works, what it protects, and where it falls short puts you in a better position to manage your funds confidently.
Contactless payments rely on Near Field Communication (NFC) and tokenization. When you tap your phone to pay, NFC transmits an encrypted, single-use token, not your actual card number. The merchant or platform receives a temporary identifier that is useless if intercepted. Mobile casinos benefit from this directly because deposits initiated through Apple Pay, Google Pay, or similar wallets follow the same process.
Tokenization is what separates contactless from traditional card payments. Your banking details never travel across the casino platform's network. The payment processor handles authentication independently, meaning a data breach on the casino's end does not expose your actual financial information. For players who deposit frequently, this reduces cumulative risk considerably.
Speed is another factor. Contactless deposits at online casino sites typically process instantly. There is no waiting period between tapping your wallet and having funds available in your account, which matters when you want to act quickly on a game or promotion.
Beyond NFC and tokenization, biometric authentication adds a second layer. Face ID or fingerprint verification is required before any contactless transaction goes through on most mobile devices. This means even if your phone is unlocked, a payment cannot complete without your biometric confirmation. Online casino platforms that accept mobile wallets inherit this protection automatically.
SSL encryption on the casino's side works alongside the tokenization from your wallet. Data in transit between your device and the platform remains encrypted end-to-end.
Two-factor authentication on your mobile wallet account adds further control. If someone attempts to add a new payment method or change settings on your device, a separate verification step blocks unauthorized access. Players who combine strong device security with licensed casino platforms are operating with multiple independent safeguards in place.
Contactless payments are not entirely without friction. Most mobile wallets impose daily transaction limits, which can affect high-volume depositing. Some casino platforms also set minimum and maximum deposit thresholds that differ from standard card transactions. Checking both sides, your wallet's limits and the platform's deposit rules, before you fund an account prevents unexpected blocks.
Withdrawal timelines vary. While deposits through contactless methods are immediate, withdrawals often route back through a linked bank account rather than directly to a mobile wallet. Processing times can range from a few hours to several business days depending on the platform's internal review process and your bank's handling time.
Fees are generally low but worth confirming. Most mobile wallet providers do not charge for transactions, but currency conversion fees may apply for international casino platforms. Reading the payment terms before selecting a method takes seconds and prevents small costs from accumulating over time.
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
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July 29, 2026 | NCFA Insight | Artificial Intelligence And Data, Public Sector Policy And Industrial Strategy, Banking And Credit

On July 29, 2026, the Bank of Canada released a working staff paper called Monetary Policy in an AI Driven Two Speed Economy raising a difficult possibility. AI could reduce jobs in some industries while the national inflation rate still looks calm.
The authors test this idea using a model with two industries. One adopts AI and needs fewer workers. The other continues operating near its limit. Lower interest rates can encourage spending and support jobs, but the same rate applies across the economy. A cut that helps the first industry can push up prices in the second.
The paper compares two hypothetical cases that produce the same increase in output:
These figures aren't forecasts or advice for the Bank of Canada. They show that replacing work creates a much larger employment challenge for monetary policy than helping workers become more productive.
The authors put the problem plainly:
"The apparent stability is cancellation, not balance."
The paper separates two ways AI can affect work. The first is augmentation, where AI helps someone complete an existing job faster. The second is automation, where software or machines take over tasks that people were paid to perform. Companies will often use both in the same business, but the difference is important.
Even the first case reduces the need for labour in the model's short run. That may sound backwards. If employees become more productive, a company can produce the same amount with fewer hours. Prices and customer demand do not adjust immediately, so new orders do not replace those hours quickly enough. Automation has a larger effect because some tasks leave the workforce altogether.
To restore employment, the model lowers rates enough to increase spending. The larger cut needed after automation also sends more demand into the industry already running near capacity, where businesses respond by raising prices rather than producing much more. That is why the 3.34 point result is more than a larger version of the 1.48 point result. It carries a greater inflation cost.
For founders and investors, two AI projects can produce the same increase in output and still create very different businesses. A company that helps employees handle more customers may increase sales, hiring and margins together. A company that removes whole tasks may improve margins while cutting payroll and reducing demand for certain skills. The headline productivity number doesn't tell you which one is happening.
When AI helps workers produce more, costs and prices can fall in the industries using it. A rate cut may then raise spending and prices elsewhere. The national average can look calm because the price changes cancel each other, even while AI exposed industries are losing jobs.
Automation produces a different result. The larger rate cut raises prices in both industries, so headline inflation reveals more of the strain. The comparison is that the same increase in output can create a different employment and inflation problem depending on whether AI supports paid work or replaces it.
Canada won't experience this evenly. Canada's AI productivity test found that adoption is already much higher in finance and insurance than across the business economy as a whole. Employment, wages, prices and AI use by industry may therefore tell policy makers more than one national average.
The model improves when workers can reach industries that still need them. With easier job transfers, the required rate cut falls from 1.48 to 0.44 percentage points when AI helps workers. It falls from 3.34 to 1.05 points when AI replaces tasks. Retraining, recognized credentials, relocation support and faster hiring between industries can reduce the pressure placed on interest rates.
Investment can produce the opposite result. When money flows quickly into companies automating work, financing and equipment can become more expensive for other businesses. In that model scenario, the required rate cut rises from 3.34 to 4.09 percentage points. An AI investment boom can strengthen the companies buying the technology while adding costs for businesses competing for capital, infrastructure and skilled operators.
Interest rate cuts can also preserve jobs that automation has removed from a company's long term staffing needs. That may delay workers from reaching employers that still need them. Lower rates can buy time, but they can't retrain a worker, recognize a credential or help someone qualify for a growing occupation.
That changes what leaders should measure. Operators need to separate productivity gained through higher sales from savings gained through fewer paid hours. Investors should distinguish growth led margins from payroll led margins. Policy makers need industry level data on AI use, job openings, wages and prices early enough to see whether workers are reaching expanding sectors.
When AI raises output, how much comes from serving more customers and how much comes from removing paid work?
Continue through the Canadian policy, business and financial developments most closely connected to AI productivity and employment.
This article interprets independent Bank of Canada staff research. The paper uses hypothetical model scenarios. It is not an economic forecast, interest rate recommendation or Governing Council position. Information is current to July 29, 2026 and is provided for informational purposes only.
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
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July 29, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Risk Compliance And Regtech, Competition And Market Structure

On July 29, 2026, KPMG Canada and OpenAI formed a Canadian alliance covering AI implementation, governance and cybersecurity. KPMG Canada also became an OpenAI Elite Partner, the highest level in OpenAI's partner network.
There's already a working base. More than 3,000 KPMG Canada employees have access to ChatGPT Enterprise. KPMG Canada says its Deal Advisory teams use Codex, OpenAI's coding agent, to help review thousands of pages of transaction documents and financial data, pull out relevant information and prepare analysis for professional review. KPMG Canada is also joining OpenAI's Daybreak Cyber Partner Program.
The alliance gives OpenAI a large Canadian delivery partner and gives KPMG closer access to the models, tools and technical support its clients are buying. The business opportunity lies in turning those tools into secure workflows that employees can use every day.
Ksenia Chumachenko, Head of Global Alliances at OpenAI:
"Canadian organizations are ready to move beyond pilots and put AI into production at enterprise scale."
Buying access to an AI model is straightforward. Connecting it to company data, permissions and existing software takes far more work. A bank reviewing customer files, a deal team reading contracts or a government department processing records also needs security controls, human approvals and a reliable account of what the system did. That's the work KPMG Canada wants to sell.
Its internal Codex workflow gives the firm a concrete implementation example, with experienced professionals still responsible for reviewing the output. KPMG Canada hasn't reported the time saved, accuracy rate, transaction volume or financial return. Those numbers will determine whether the partnership's service becomes repeatable and scales or remains an internal productivity case.
KPMG has used this delivery model before. Its work with CapIntel combines wealth technology with integration and change management for financial institutions. The OpenAI alliance applies the same commercial logic across a much larger range of business processes.
Cybersecurity adds another line of work. Through Daybreak, KPMG Canada plans to combine OpenAI models with its security and risk services. The announcement doesn't name a Canadian customer, deployed cyber product or launch date. Buyers should expect those details before treating the program as a proven commercial offer.
The Canadian agreement follows a U.S. alliance announced on July 21. The U.S. program includes OpenAI engineer certification, public sector software and work inside OpenAI's own supply chain systems. The Canadian announcement doesn't confirm that every U.S. program will be available here. The commercial aim is to get from a product demonstration to a paid deployment faster.
KPMG is keeping its model options open. A May 2026 Anthropic agreement is bringing Claude into KPMG's global workforce and client platforms. Canadian buyers will need to know why KPMG recommends one model over another and whether its commercial relationships influence that advice.
Canadian business use of AI rose from about 3% in 2022 to roughly 12% in 2025, while finance and insurance exceeded 30%. The Canadian adoption data points to a larger implementation market, with firms competing to connect AI to important work without losing control of customer data, security or accountability.
KPMG Canada has scale, technical access and more than 10,000 employees across over 40 locations. However, the alliance still has to prove that the finished systems are worth buying. Clients will want shorter processing times, lower operating costs, fewer errors or better service. They will also need clear rules for data access, human approval and responsibility when an agent produces a weak answer or takes the wrong action.
Specialist AI integrators and other large consulting firms are competing for the same work. Investors should watch for named production clients, repeat deployments, contract expansion and measured operating results. Partner status may open the door.
Which Canadian workflow will give KPMG and OpenAI their first measurable client result?
Follow the Canadian delivery, governance and security work most closely connected to this alliance.
Partner status and internal use examples do not establish client performance or future revenue. Undisclosed commercial terms and unreported operating results are identified as such. Information may change after the publication date. This content is provided for informational purposes only and does not constitute investment, financial or legal advice.
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
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