Karsten Wenzlaff, Advisor
August 26th, 2025
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 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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We're opening up more and more APIs to partners, fintech services, and client applications. The only question is whether we're confident these same APIs aren't opening up new paths for attackers.
Just a few years ago, a bank mostly dealt with its own systems. A customer would log into the app, check their balance, make a transfer. The whole journey stayed inside the perimeter of a single organization.
Today, one customer might simultaneously use a mobile banking app, a budgeting service, an accounting platform, a payment provider, and an AI assistant that analyzes their spending. All of these services exchange data through APIs - interfaces that let different systems talk to each other according to a set of established rules.
Open Banking isn't just a regulatory requirement or a new integration channel - it's a shift in the trust model itself. A bank used to be responsible for security within its own infrastructure. Now it hands off part of its data to dozens of external services, and those services, in turn, rely on the bank. The more participants in the ecosystem, the more points there are where trust is either reaffirmed or cracked, every single day.
Attackers are less and less interested in finding a weak spot inside any one bank. Today, hackers target the interaction between systems itself. The longer the chain - bank, fintech, payment hub, partner app - the more places there are for something to go wrong.
Common examples include:
An API can perform flawlessly on the functional side - fast, stable, no errors in the logs - and still carry a critical vulnerability. Functional correctness and cybersecurity don't always go together.
Banks and fintech companies generally don't neglect API security. They go through certifications, run automated scans, do code reviews and QA. But none of these tools answer the one question that matters most: can this specific API's logic be bypassed in a way its developer never anticipated? Scanning catches known vulnerability patterns; code review and QA confirm the code does what it was built to do. Neither one thinks like an attacker who isn't hunting for a bug in the code, but for a logical gap in how the API interacts with other systems.
That's why most attacks on financial APIs today aren't about technical mistakes - they're about logic: the sequence of actions, the boundaries of authority, the trust placed in data coming from the client. It's also why modern Cybersecurity Solutions for Fintech increasingly go beyond formal compliance with standards, testing real-world abuse scenarios at the points where multiple systems meet.

Here's a short checklist for reviewing every external API in your ecosystem:
If you don't have a confident answer to any of these, that's reason enough to look closer.
It's worth telling apart three things that often get lumped together. Vulnerability scanning looks for known vulnerabilities by signature, catching familiar vulnerability classes, common misconfigurations, and known dangerous patterns. Automated testing checks whether the code performs its intended functions correctly. Separate from both is API Penetration Testing (https://datami.ee/services/pentest/api-penetration-testing/) - manual testing in which a specialist plays the role of a real attacker: combining requests, tweaking parameters, hunting for unusual sequences of actions that a scanner, in most cases, won't flag as anomalous, because each individual request looks legitimate on its own.
It's also best if this kind of testing is handled by an external team. In-house specialists tend to know their own API inside and out - and that's precisely what makes it hard for them to spot an unconventional abuse scenario, since day-to-day work with a system's logic doesn't train you to look at it through the eyes of someone deliberately trying to break it. External specialists bring experience from other architectures and payment integrations, so they're more likely to catch the gaps a team had written off as unimportant.
A bank can offer the most convenient digital service and the best partner API on the market. But if even one partner or customer stops trusting the security of the data exchange, the benefits of Open Banking vanish almost instantly. Trust here isn't a bonus feature - it's the baseline condition, and without it the whole structure loses its meaning.
That's why investing in API protection in the financial sector isn't just about regulatory compliance - it's about sustaining trust across the whole ecosystem: between bank and fintech, fintech and customer, and customer and every new service they let into their data.
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 27, 2026 | NCFA Market Activity | Capital Markets And Market Infrastructure, Wealth Investing And Trading, Banking And Credit

On July 27, 2026, Ontario Teachers’ and M&G agreed to establish a European CLO joint venture. Ontario Teachers’ Pension Plan has agreed to provide up to €200 million for equity investments in future M&G Margay collateralized loan obligation issuances. It will also participate in the long term economics of M&G’s European CLO business.
The second part makes this more interesting than a pension fund buying CLO securities for its portfolio. Ontario Teachers’ is tying capital to future M&G issuances and participating in the long term economics of the platform those transactions can grow. The release doesn’t disclose an ownership stake in M&G itself, the economic formula, governance rights, return targets or the term of the joint venture.
Capital will be deployed transaction by transaction under an agreed investment framework. That gives Ontario Teachers’ room to assess each issuance instead of transferring the entire commitment at closing. For M&G, it provides an aligned source of equity capital that can help the Margay programme issue more CLOs when market conditions and available loans support them.
A CLO buys a diversified pool of corporate loans and finances that pool by issuing layers of debt and equity. M&G says Margay invests in European broadly syndicated loans. Those are loans arranged for larger corporate borrowers and distributed across several institutional lenders.
Cash collected from the loans pays the senior CLO tranches first. The equity tranche sits at the bottom and receives what remains after interest, expenses and required payments have been made. The European Central Bank’s CLO analysis explains the tradeoff clearly where equity has the highest potential return, but it's paid last and absorbs losses first when loans default.
Ontario Teachers’ is therefore accepting more than ordinary bond risk. Returns can benefit when loan income exceeds the cost of the CLO’s debt and credit losses remain contained. They can fall when defaults rise, recoveries disappoint, financing becomes expensive or structural tests redirect cash away from equity investors.
The pension plan says European CLO equity complements and diversifies its existing programme. Europe also gives it a different pool of borrowers, managers and issuance periods. What hasn’t been disclosed is the expected return, how much of the €200 million may be used in each Margay transaction or exactly how the platform economics will be divided.
M&G launched Margay in 2023 and reports €1.6 billion currently in issue. The programme sits inside a €10 billion loan platform, a €27 billion structured and private credit business and M&G’s €93 billion Private Markets business. M&G’s Life business has also invested more than £1 billion in structured credit strategies over time.
Equity capital is essential because every new CLO needs investors willing to take the most junior position. A dependable partner can make future issuance easier to plan, although every transaction still depends on loan availability, funding costs and investor demand for the more senior tranches.
The market is active enough however to support that ambition. European CLO issuance reached €15.9 billion in the first quarter of 2026, up from €14 billion in the previous quarter. CLOs led all placed European securitisation categories during the period.
Other managers are securing similar pools of committed equity:
Sagard | HalseyPoint launched a US$250 million target CLO equity fund for future issuances after Sagard acquired a 40% interest in the manager. Sagard, affiliates, insurers and other institutional investors had committed US$92.5 million at launch.
Oak Hill Advisors closed a US$1.1 billion CLO equity fund in September 2025 with commitments from pension funds, sovereign wealth funds and other institutions. OHA said the capital could support about US$10 billion of CLO deployment.
Columbia Threadneedle entered a multiyear agreement with a Jefferies led investor consortium to supply equity for several CLOs. The structure gave the manager repeat issuance capital rather than funding for only one transaction.
These deals are structured differently, but the managers face the same challenge in that they need investors willing to fund the riskiest part of each new CLO. A strong credit team and a supply of suitable loans aren’t enough without that equity capital. Ontario Teachers is also going a step further. Along with investing in future CLO equity, it will participate in the long term economics of M&G’s European CLO business.
If Margay issues regularly and its loan pools perform, Ontario Teachers’ could earn from both its equity positions and its negotiated participation in the platform. M&G gains a long term institutional partner without receiving the full commitment before suitable transactions are ready.
A slower issuance market may leave part of the commitment unused. Competition for loans can make assets more expensive and reduce the difference between loan income and CLO funding costs. Higher defaults or weaker recoveries reach the equity tranche first. The public announcement also leaves outsiders unable to compare the value of the platform participation with the risk Ontario Teachers’ is taking.
This transaction is aligned with a larger expansion in non bank credit, but the categories need care. Margay’s disclosed collateral consists of broadly syndicated loans, while private credit normally refers to loans negotiated privately between non bank lenders and borrowers. They can share institutional investors and leveraged corporate borrowers without being the same market.
The Bank of Canada recently issued a warning about non bank debt risk. The Bank says Canadian pension fund and insurer exposures to global private credit appear manageable, while limited transparency and growing connections across financial structures still warrant monitoring. The Ontario Teachers’ transaction isn’t evidence of distress. It does show why the ownership, funding and risk links around credit managers are becoming more important to understand.
The commercial trend is already visible across private market platforms. Large investors want more than passive fund exposure, while managers want dependable capital that can support repeat origination or issuance. The open question is whether the added platform economics compensate investors for taking concentrated, junior risk over several market cycles.
Will more pension funds negotiate access to both CLO equity and CLO platform economics, or will first loss risk and tighter returns keep most institutions in individual securities and diversified funds?
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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