Karsten Wenzlaff, Advisor
August 26th, 2025
Jan 26, 2026 | NCFA Fintech Market Activity | Scale and Leadership

Emily Roccheggiani, Chief Sales Officer, VersaPay
On January 26 2026, VersaPay named Emily Roccheggiani as chief sales officer and tasked her with leading the company’s sales organization and commercial growth strategy.
VersaPay describes itself as an accounts receivable platform focused on removing friction in B2B collections and reconciliation. The company reports 10,000 customers, more than 5M companies transacting, more than 110M transactions, and $260B in annual payment volume.
Roccheggiani brings a payments background that fits a scale role. The release says she spent more than eight years at Adyen and joined as the sixth member of the North American sales team during a major expansion period. She later served as chief revenue officer at Forma, where she built and led go to market teams.
The appointment matters because AR automation often wins or loses on distribution. In B2B payments, product capability rarely carries the deal on its own. Sales execution, partner reach, and repeatable deployment inside finance teams decide whether a platform becomes a standard tool or a niche add on.
Carey Kolaja, CEO of Versapay:
"Emily has spent her career inside some of the most important growth stories in modern fintech. She knows what it takes to build, scale, and win--from the earliest days of category creation through global expansion. As Versapay enters a new chapter of product innovation, partner-led distribution, and vertical market acceleration, Emily is exactly the leader we want at the helm of our revenue engine."
VersaPay puts a senior revenue leader in place while it pushes deeper into AR modernization. When CFOs choose AR platforms to improve cash flow visibility and controls, what evidence will actually influence enterprise buying decisions in 2026?
The release positions this hire as part of the company’s next growth stage across verticals and partnerships. The near term test is simple. VersaPay must convert market interest in AR modernization into repeatable wins with measurable cycle time and working capital outcomes.
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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AI Governance and Risks | Jan 23, 2026

Image: Freepik/DC Studio
On January 21, 2026, Anthropic announced a new 2026 constitution for Claude, an internal framework that guides how its AI models reasons and responds, moving it's intelligence beyond guardrails and towards explicit value-based judgment, see: Claude's new constitution. This update builds on Anthropic’s original 2023 constitutional AI, which focused on constraining harmful outputs instead of embedding decision logic inside the model.
The timing matters. Policymakers are already warning that AI use in financial services is creating risks that existing oversight struggles to address, including opaque decisioning, unclear accountability, and consumer harm, as detailed in the UK Parliament Treasury Committee’s report on artificial intelligence in financial services. In Canada, the federal government launched a Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, setting expectations for governance, oversight, and risk management at the organizational level rather than inside individual models. Since its launch in September 2023, a growing group of technology, financial services, and infrastructure firms have signed on with early alignment around common principles even as binding AI legislation is still under development.
Seen in that context, Claude’s 2026 constitution provides a clear example of how decision making is being built into AI models themselves, while responsibility for outcomes still sits with the institutions that use them.
2023 constitution
The original constitution operated primarily as a set of behavioural constraints. It instructed the model on what to avoid and what to prioritize, largely to prevent harmful or non compliant outputs. The emphasis was containment.
2026 revision
The revised constitution introduces embedded judgment logic. Instead of checking outputs against rules, the model is trained to reason through competing objectives using an explicit hierarchy of values.
Under the 2023 framework, a customer support assistant helping with a disputed transaction would follow predefined rules. If the request met policy, the model would proceed. Under the 2026 framework, the model may pause or redirect even when rules allow action, if it determines that safety or downstream harm outweighs helpfulness. The outcome changes not because policy changed, but because judgment moved inside the model. The practical result is that product teams can no longer assume consistent behaviour across similar cases, since internal judgment may lead to different responses even when inputs look the same.
2023 constitution
Values such as safety, helpfulness, and compliance were present but not clearly ordered. The model generally tried to satisfy all simultaneously.
2026 revision
Anthropic now makes the hierarchy explicit. Broad safety and ethics take priority, followed by compliance with rules and policies. Helpfulness ranks last.
Consider a compliant onboarding flow for a higher risk customer segment. In 2023, the model would guide the user through required steps as long as eligibility criteria were met. In 2026, the model may slow the process, add cautionary language, or decline to provide certain guidance if it determines that risk or misuse concerns outweigh the value of completing onboarding smoothly. Over time, this can change conversion and completion rates in ways that are difficult to trace back to a single rule or policy change.
2023 constitution
Explainability centered on technical or policy based reasoning. Outputs were justified by reference to rules or restrictions.
2026 revision
The model is encouraged to explain decisions using value based reasoning, such as safety considerations or ethical caution.
In a credit related inquiry, a 2023 style response would reference eligibility thresholds or policy rules. A 2026 style response may explain that certain guidance cannot be provided because of safety concerns or potential harm. While that explanation may feel reasonable to a customer, it doesn't currently map cleanly to regulatory expectations that rely on objective, measurable criteria. This creates added pressure on compliance teams to reconcile human readable explanations with audit and supervisory requirements.
2023 constitution
Uncertainty was handled implicitly through restrictions.
2026 revision
Anthropic explicitly states that uncertainty warrants caution. The model is trained to err toward conservative responses when intent, impact, or downstream effects are unclear.
In financial education or product comparison tools, a 2023 model would provide general guidance within allowed boundaries. A 2026 model may decline to offer comparisons or suggestions if it believes the information could be misused or misunderstood. This reduces risk, but if left unmanaged it can gradually narrow what the product is willing to do, even when the underlying business intent remains unchanged.
Model risk no longer stops at accuracy, bias, or drift. Those risks are familiar. Since the 2026 constitution itself becomes part of the model, fintechs now inherit a set of embedded priorities that influence how decisions are made when rules alone are not enough. If those priorities are not understood and tested, teams can see unexpected behaviour even when inputs and policies stay the same.
This puts real pressure on procurement and vendor governance. Evaluating models based on performance and compliance checklists is no longer sufficient. Fintechs need to understand how a model handles tradeoffs, when it decides to be cautious, and when it may refuse or redirect actions that the business considers acceptable. Those behaviours directly affect customer experience, conversion, and operational consistency.
Accountability still sits with the organization. Even when an AI model makes its own call, regulators and customers still look to the firm using it. If an AI driven interaction leads to confusion, exclusion, or harm, the explanation and the responsibility is still firmly with the fintech provider, not the AI system or tool. Embedded judgment raises the stakes for internal oversight because there is less room to say the system simply followed a rule.
Canada’s voluntary AI code is an important step but it operates at a different level. It sets expectations for governance, monitoring, and oversight by organizations. It doesn't however address how a model reasons in real situations. That gap becomes more important now that judgment is being built into some models directly. Fintechs can be in a situation where the code meets expectations but they still face questions that they aren't fully prepared to answer when an AI behaves in ways that are technically compliant but operationally unexpected.
The change from Claude’s 2023 constitution to the 2026 update is a breadcrumb trail showing where AI governance is heading. For many firms there could be an emerging gap that shows up when a customer gets a different answer than expected, when a compliance team has to explain why an AI responded the way it did, or when a board asks how much control the firm really has over a third party model.
The real issue is not whether AI follows rules. It is whether fintechs understand how these systems behave in real situations, before that behaviour affects customers, regulators, or the business.
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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Canada | January 20, 2026

Image: PM Mark Carney, WEF 2026 at Davos
Some speeches try to calm markets. Others try to project confidence. Prime Minister Mark Carney’s special address at the 2026 World Economic Form in Davos does neither. Instead, it speaks plainly about where the world actually is, and Canada's place in it.
Carney doesn't describe today’s global system as temporarily strained or waiting to reset. He treats fragmentation, pressure, and mistrust as conditions we are already living with. Economic openness no longer guarantees cooperation. Integration no longer guarantees stability. For countries like Canada, assuming otherwise is not optimism. It is exposure.
That is why this speech lands with unusual weight. It is not aspirational. It is not dressed up. It is grounded in reality.
A central message running through the address is uncomfortable but clear. The idea that a neutral, rules based international order reliably protects middle powers no longer holds in practice.
Trade becomes leverage. Markets get weaponized. Finance turns into a geopolitical arena. In that environment, scale matters, and countries without it cannot rely on habit or goodwill.
Carney does not try to soften this. He acknowledges directly that economic integration itself can be used as a tool of pressure. That recognition marks a break from the language Canada has leaned on for decades.
For Canadians, the message touches jobs, prices, housing, supply chains, energy, investment, and long term growth. For fintechs and financial institutions, it goes even deeper.
Payments infrastructure, capital markets, data flows, compliance frameworks, and cross border operations all depend on trust based systems. When those systems weaken, risk shows up in cost, friction, and constraint.
Ignoring geopolitics does not insulate innovation. It makes it more fragile.
Another core message in PM Carney's address is that in a fractured world, drift is a decision. It means allowing outcomes to be set by external forces through inaction, habit, or default choices rather than deliberate strategy.
Canada cannot assume that openness will persist by default or that others will protect shared systems out of principle. It has to participate actively in building coalitions, standards, and partnerships that still value predictability and accountability.
That kind of leadership is less comforting than the past. It requires clarity, coordination, and follow through rather than rhetoric.
The delivery matters. Carney speaks without inflated promises. No slogans. Just a steady assessment of risk, responsibility, and constraint shaped by experience inside global financial systems.
PM Mark Carney's speech is candid acknowledgement of a new phase of Canadian engagement with the world. One that names limits, acknowledges pressure, and treats resilience as something that must be designed rather than assumed. That is the work ahead, to modernize Canada’s financial systems and infrastructure with purpose and impact, at scale and with urgency.
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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AI | January 20, 2026

Image: Freepik
On January 19, 2026 via Reuters, OpenAI's Chief Financial Officer Sarah Friar confirmed that its annualized revenue exceeded US $20B in 2025. Reported figures show revenue was $6B in 2024 and about $2B in 2023, meaning revenue more than tripled this past year alone, mirroring the scale of paid demand for OpenAI services.
Annualized revenue describes what a company would generate over twelve months if current sales levels stayed constant, and is a widely measure to assess momentum in subscription and usage-based businesses. For OpenAI, the number reflects sustained growth in paid ChatGPT subscriptions, enterprise contracts, and API usage across multiple industries.
OpenAI’s revenue growth closely follows its infrastructure expansion. Reuters reports that the company increased its computing capacity from roughly 0.6 gigawatts in 2024 to about 1.9 gigawatts in 2025, nearly tripling in one year. That level of scale requires access to capital, power, chips, and long-term supplier agreements that only a handful of firms can sustain.
As scale increases, it begins to set the rules of the market.
Infrastructure capacity now determines who can offer AI services at competitive prices, who can guarantee availability during peak demand, and who can absorb cost volatility without disrupting customers. Performance expectations increasingly reflect what the largest providers can deliver, not what smaller firms can economically support.
This trajectory does not mean startups disappear overnight, but it raises the survival bar.
Startups that rely on thin margins face the earliest pressure. This includes companies that resell model access, wrap generic AI features into existing products, or compete primarily on convenience rather than control over data or distribution. As OpenAI captures more value directly through subscriptions, enterprise contracts, and advertising, profit margins for intermediaries narrows.
The pressure shows up first in functions that scale with usage rather than revenue, such as customer support automation, fraud monitoring, transaction screening, onboarding workflows, and real time decisioning. In these areas, AI costs rise with activity even when revenue does not.
By contrast, startups with proprietary data, embedded customer relationships, or regulated market access retain leverage. The dividing line is no longer access to AI. It is control over economics, customers, and accountability.
AI pricing is typically usage based. As fintech products scale, AI expenses scale with them, often faster and with less predictability than revenue. This creates margin pressure, particularly in Canada where fintechs operate with smaller domestic scale, tighter capital markets, and higher regulatory expectations. What appears manageable during early deployment can become material at scale.
In regulated financial services, vendor dependency becomes operational risk, and operational risk becomes regulatory exposure.
There is also a governance reality. When AI influences credit decisions, disclosures, complaints, or customer outcomes, fintechs remain fully accountable even when they do not control model behaviour, pricing changes, or service limits.
Pricing power in AI is concentrating upstream. Intelligence is becoming a metered utility controlled by a small number of providers with the capital and infrastructure to set terms. Large global firms can absorb cost swings, negotiate volume discounts, and manage vendor risk across portfolios. Many Canadian fintechs cannot.
The strategic question is not whether to use AI, but how tightly to bind core operations to any single supplier. Fintechs that preserve provider flexibility, constrain AI use to high impact functions, and tie spending directly to measurable outcomes retain an advantage (for now). Those that treat AI as an invisible background feature risk discovering too late that it has become a fixed dependency with variable costs.
OpenAI’s $20B annualized revenue growth is about market structure limits. Scale now determines who sets prices, who absorbs volatility, and who carries risk. For Canadian fintech, AI decisions now belong alongside cloud infrastructure, payments rails, and core systems as board level considerations.The firms that stay competitive will be the ones that manage AI like any other core cost, with clear oversight and control.
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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