Karsten Wenzlaff, Advisor
August 26th, 2025
September 1, 2026 | NCFA Market Activity | Lending Consumer Credit And BNPL, SME Finance And Business Banking, Digital Banking And BaaS

On September 1, 2026, London, Ontario based VersaBank announced the first U.S. Real-Time SRP implementation with ECN Capital. The system can fund eligible point of sale loans within hours. VersaBank says conventional funding can leave lenders waiting five to 30 days or longer while enough receivables accumulate.
ECN isn't a new customer. It implemented VersaBank's original U.S. Structured Receivable Program in 2025, and another ECN subsidiary joined the program in July with at least US$300 million in expected annual fundings. ECN Capital's Chris Johnson said the original SRP helped the company “grow our business faster” while improving profitability. The September implementation adds the newer real time capability, although VersaBank hasn't disclosed how much volume is flowing through it yet.
The scale is already substantial. VersaBank's total Structured Receivable Program portfolio exceeded C$4.4 billion as of January 31, 2026 after growing at a 33% compound annual rate over five years. U.S. SRP credit assets reached US$604.9 million by the end of the bank's second fiscal quarter of 2026, and VersaBank was targeting at least US$1 billion in additional U.S. SRP fundings during fiscal 2026.
What changes with ECN is speed. A funding model VersaBank has used in Canada for more than 15 years, and recently accelerated with Financeit, is now running in the U.S. with an established finance company.
Point of sale lenders need capital to keep making loans. A lender financing home renovations, HVAC systems, equipment or other large purchases may hold new receivables on its own balance sheet or borrow against them through a warehouse facility until the loans can be sold, refinanced or packaged into a securitization. That interval ties up capital and carries a financing cost.
VersaBank's Structured Receivable Program purchases qualifying receivables from finance companies. Real-Time SRP brings that funding closer to the original loan by evaluating and financing eligible individual receivables within hours rather than waiting for a larger pool to accumulate.
The model was first tested through an April Financeit pilot. The pilot finished ahead of schedule, and Financeit became the first partner to use Real-Time SRP at large scale when VersaBank formally launched the program in June. Financeit was approaching C$2 billion in annual loan originations, giving VersaBank a sizeable Canadian lending operation on which to prove the process before taking it into the U.S.
VersaBank describes the system as AI enabled, but its public disclosure supports a more targeted description. The bank says its internal AI technology helps evaluate individual loans underlying SRP receivables. It has not disclosed enough detail to determine exactly how eligibility, credit scoring, fraud checks or other decisions are divided between automation and human oversight.
Financeit completed a C$201 million ABS in June while also using VersaBank's real time funding. Those sources of capital can serve different stages of the same lending business. VersaBank can provide funding closer to origination, while securitization can provide longer term institutional capital after loans have accumulated into a larger pool.
Forward flow provides another option. Propel Holdings secured a US$60 million forward flow from Mesirow managed funds for Freshline loans, allowing institutional capital to purchase eligible production as it is originated. Warehouse lenders, forward flow investors, banks, private credit funds and ABS buyers are all competing to fund the period between a lender making a loan and receiving longer term capital.
VersaBank is trying to compress that period. The economic benefit depends on whether the cost of its funding, integration requirements and credit rules are attractive enough to save lenders money or free enough capital to justify adding another funding relationship.
VersaBank has operated versions of its Structured Receivable Program in Canada for more than 15 years. It entered the U.S. point of sale finance market after acquiring a U.S. bank in 2024, giving VersaBank an OCC chartered national banking platform in Minnesota.
VersaBank is doing more than licensing software to ECN. It's using deposits and its own balance sheet to buy qualifying U.S. receivables through a funding model developed in Canada. That lets the bank grow through lending partners without having to build a large consumer lending operation itself.
ECN is now using the faster version in the U.S. VersaBank already had hundreds of millions of dollars in U.S. SRP assets, and the wider ECN relationship includes at least US$300 million in expected annual fundings. The real time version gets eligible receivables onto VersaBank's balance sheet sooner.
Faster funding can help lenders keep more cash available for new loans, but only if VersaBank's price and credit rules beat the alternatives. Lenders already have warehouse lines, forward flow buyers, banks and securitization markets competing for their business, so speed alone won't win the account.
For VersaBank, more U.S. receivables mean more loans and leases earning interest on the bank's balance sheet without VersaBank having to find the borrowers itself. The economics work only if what the bank earns on those assets stays comfortably above its funding costs and credit losses.
Growth can also concentrate risk. A few large partners, weaker loan quality or rising deposit costs could turn faster asset growth into lower returns. ECN is the first U.S. user of the real time version, so the more telling evidence will be whether other lenders adopt it and whether those portfolios perform well as volumes rise.
Private credit adds another source of competition for finance companies seeking capital. Canadian institutions already have roughly C$500 billion of private credit exposure, much of it outside Canada, while U.S. private credit funds have become major lenders to businesses and specialty finance companies. VersaBank is entering that competition with a regulated bank balance sheet, a deposit base and a funding system designed to work much closer to loan origination.
Can VersaBank turn a Canadian funding model into a scalable U.S. lending 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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Sep 2, 2026

India is increasingly relevant to fintech companies for more than market access. It is also a significant source of technology, product, finance, risk, data, and operational talent that global scaleups can integrate into international teams.
India's wider startup ecosystem had more than 2.23 lakh government-recognised startups by March 31, 2026, while the country's digital financial infrastructure continues to expand rapidly. UPI alone processed more than 24,000 crore transactions during FY26, illustrating the scale at which digital financial services now operate in the country.
For a Canadian or international fintech, however, deciding to recruit in India creates a strategic question:
Should the company establish an Indian entity before building a team, or can it begin hiring first and make the larger corporate investment later?
For many scaleups, these decisions do not need to happen simultaneously.
A phased talent strategy can allow a fintech to test access to Indian talent, build an initial team, understand operating costs, and validate its long-term requirements before committing to a full local entity.
India combines a large technology workforce with an established ecosystem across financial services, digital payments, software development, data, and startup innovation.
This creates hiring opportunities across functions that fintech companies frequently need as they scale, including:
India's digital payments ecosystem also gives fintech professionals exposure to financial products operating at substantial scale. UPI accounted for 85.5% of India's digital payment transaction volume in the second half of 2025, according to RBI data reported by IBEF.
But the business case for building a team should not begin with the question, "How many people can we hire?"
It should begin with:
Which capabilities should the company own internally, and which of those capabilities can be built effectively in India?
That changes hiring from a cost exercise into a talent strategy.
A fintech talent strategy defines which capabilities a company needs, where those capabilities should be located, and how employees will be hired, managed, and integrated into the organisation.
For an India expansion, a useful talent strategy should address five areas:
This is particularly important for fintech companies because many roles interact with sensitive financial data, regulated products, security systems, or customer operations.
Hiring should therefore be considered together with data access, information security, governance, internal controls, and business continuity.
The first India hires should solve clearly defined business problems rather than simply expand headcount.
A practical approach is to prioritise functions where the company already understands the workflows and can manage outcomes remotely.
| Function | Why a Fintech May Build It in India |
| Engineering | Product development, integrations, platform infrastructure |
| Data | Analytics, reporting, data engineering and modelling |
| QA | Product testing, automation and release support |
| Cybersecurity | Security operations and technical monitoring |
| Finance operations | Reporting, reconciliation and operational support |
| Customer operations | User support and service delivery |
| Risk operations | Process-driven risk and verification support |
| Product operations | Coordination between technology, product and commercial teams |
Leadership should also identify whether the function is supporting the global business or conducting activity directly in the Indian market.
That distinction can affect entity, regulatory, tax, and Permanent Establishment considerations later.
Yes, depending on the type of relationship and business activity.
A foreign fintech typically has several potential models available.
Contractors may be appropriate for genuinely independent, project-based work.
For example, a fintech might engage a specialist for:
Contractors should not simply be used as substitutes for employees where the actual working arrangement functions like regular employment.
A fintech can outsource a complete function or defined process to another company.
In this model, the external provider typically manages its own employees and delivers an agreed service or outcome.
That is different from building a dedicated internal team.
Where a fintech wants dedicated employees in India but does not yet have a local employing entity, an Employer of Record India model can provide another option.
The EOR becomes the legal employer in India, while the fintech continues to manage employees' daily responsibilities, goals, projects, and performance.
A fintech can establish its own Indian company and employ staff directly.
This generally provides greater long-term control but also introduces ongoing corporate, accounting, payroll, HR, tax, and administrative responsibilities.
The best structure depends on the company's stage and objectives.
| Factor | Contractor | Outsourcing | EOR | Own Entity |
| Dedicated employee relationship | No | Usually no | Yes | Yes |
| Local entity required | No | No | No for EOR employment | Yes |
| Client controls daily work | Limited by independent relationship | Usually outcome-focused | Yes | Yes |
| Local payroll | Not employee payroll | Provider handles employees | EOR handles | Company handles |
| Initial setup burden | Low | Low | Lower than entity | Highest |
| Suitable for testing India | Yes, for genuine projects | Yes | Yes | Possible but larger commitment |
| Long-term large workforce | Limited | Depends on model | Depends on scale | Strongest fit |
For a fintech building an internal product or operations team, the main comparison is often between EOR employment now and direct employment through an entity later.
Entity establishment is a strategic corporate decision.
Hiring can be an operational decision.
Those decisions may move at different speeds.
Suppose a Canadian fintech has funding to build a six-person engineering and data team in India. It already knows the roles it needs, but management is not yet certain whether India will eventually support 10 employees, 50 employees, or a much larger operation.
Immediately building a company around an uncertain headcount assumption can create unnecessary fixed infrastructure.
A staged approach allows the fintech to answer questions such as:
The business can then make its entity decision using operating evidence rather than projections alone.
Salary is only one component of India workforce costs.
Finance teams should compare the total cost of different structures.
Relevant categories can include:
An EOR may involve a per-employee service fee, while an owned entity introduces more fixed organisational costs.
The economics can therefore change as the team becomes larger.
Companies comparing these structures can also review State of India EOR 2026 when assessing employment costs, entity considerations, compliance responsibilities, and potential tax exposure.

Fintech teams often work within more sensitive operating environments than ordinary remote teams.
The question is not simply whether a developer or analyst can work remotely.
Companies may also need controls around:
Employees may interact with customer data, financial information, transaction records, or internal risk systems.
Access should be based on role requirements.
Devices, authentication, credentials, source code, and internal platforms require appropriate security controls regardless of where employees are located.
Certain finance or payment workflows may require multiple layers of approval rather than giving one employee end-to-end control.
Teams should understand who owns decisions, where approvals are recorded, and how processes are audited.
Hiring someone in India does not itself determine whether the fintech is permitted to offer regulated financial services in India.
Employment structure and financial-services licensing are separate questions.
A company building an India team to support overseas operations should therefore distinguish workforce expansion from market entry.
India's four consolidated Labour Codes came into effect on November 21, 2025, covering wages, industrial relations, social security, and occupational safety and working conditions.
Companies employing workers directly need processes covering relevant employment requirements, including areas such as:
Under an EOR structure, many agreed employer-side administrative responsibilities are handled by the EOR.
However, using an EOR does not remove the fintech's responsibility for how employees access systems, handle information, perform regulated activities, or represent the business.
Potentially, depending on what the employees do.
An EOR or contractor arrangement does not automatically eliminate Permanent Establishment or wider business-connection considerations.
India's Income Tax Department states that business income of a non-resident can be taxable in India where the enterprise has a Permanent Establishment or business connection, subject to applicable tax treaties.
Indian tax rules also identify activities such as habitually concluding contracts or playing a principal role leading to the conclusion of contracts as potentially relevant to business-connection analysis.
A fintech should therefore obtain appropriate tax advice where India-based personnel:
A developer supporting a global product and a senior commercial executive entering contracts on behalf of the foreign company may present very different risk profiles.
An entity can become increasingly attractive as India moves from an experimental talent location to a strategic operating hub.
Common indicators include:
There is no universal employee number at which every fintech should incorporate.
The decision should consider scale, cost, tax, regulation, employment requirements, business activity, and long-term strategy together.
A practical expansion sequence can look like this:
Identify the roles that India can support and the business problem each role solves.
Recruit a small number of clearly defined roles using an appropriate employment structure.
Implement security, communication, management, documentation, payroll, and performance systems.
Compare productivity and total employment costs against the original business case.
Estimate whether the India operation is likely to remain a small global team or grow into a major operating centre.
Once the scale and commercial requirements are clearer, evaluate establishing a local entity.
This approach allows a fintech to treat entity setup as a consequence of proven scale rather than a prerequisite for exploring Indian talent.
For fintech companies that want employees in India before establishing their own entity, Asanify provides an India-focused Employer of Record model.
Asanify operates through its own Indian entity and can act as the legal employer while the client fintech retains control over employees' daily work, responsibilities, and performance.
Its EOR support can include:
This structure can be useful for scaleups testing the Indian talent market or building an initial team while their long-term entity strategy remains under evaluation.
Tax, regulatory, financial-services licensing, PE, data, and other business-specific risks should still be assessed separately.
For fintech scaleups, India expansion should start with the capabilities the business needs, not with entity setup.
Companies can first define the right roles, choose a suitable employment model, and validate costs, compliance, and team performance. This gives leadership a clearer view of how India fits into the wider operating strategy.
As the team grows, the business can then decide whether a larger local infrastructure or entity is justified. A phased approach helps keep early expansion flexible while supporting more informed long-term decisions.
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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August 31, 2026 | NCFA Insight | Artificial Intelligence And Data, Competition And Market Structure, Data Privacy And Governance

On August 31, 2026, OpenAI said ChatGPT Ads reached a US$1 billion annualized revenue run rate in less than 200 days. Tens of thousands of advertisers are using the platform, OpenAI reports more than one billion weekly active ChatGPT users, and ads are available across more than 40 countries through direct sales, agencies and technology partners.
US$1 billion is a run rate, not revenue already collected. At that pace, ChatGPT Ads would produce roughly US$250 million per quarter. That's small beside the companies OpenAI now competes with for advertising budgets, but getting there in less than seven months gives advertisers, competitors and regulators something tangible to watch.
Notably, on the same day OpenAI announced the milestone, European regulators designated ChatGPT a Very Large Online Search Engine under the Digital Services Act. In the United States, the FTC and 22 states sued Amazon over alleged practices in its advertising auctions. Google is already operating under court ordered search remedies after losing a U.S. monopolization case.
OpenAI is building its advertising business in a market where regulators already know how digital distribution, auction rules, data and default positions can concentrate power.
ChatGPT Ads started as a U.S. test on February 9 for adult Free and Go users. Canada, Australia and New Zealand followed in the spring. OpenAI added self service Ads Manager and cost per click buying in May, expanded into the U.K., Mexico, Brazil, Japan and South Korea in August, and is now adding more markets across Europe, India, the Middle East and North Africa.
The product itself has grown just as quickly. CPC and outcome optimized bidding now account for most campaigns, according to OpenAI. Advertisers can use Pixel and Conversions API measurement, product feeds, geographic targeting and custom audiences, while more than 50 technology and measurement partners connect businesses to the platform.
OpenAI says one ecommerce advertiser produced a 3x return on ad spend over 28 days, while one technology partner reported that more than 80% of traffic generated by ChatGPT ads came from new customers. Those are select examples supplied by OpenAI, so they shouldn't be treated as typical campaign performance. OpenAI also says it doesn't yet have reliable performance benchmarks across industries and campaign types.
Back in February, NCFA asked whether conversational advertising could develop into a new route for product discovery. Six months later, OpenAI has a US$1 billion annualized ad run rate, self service buying, conversion tools and tens of thousands of advertisers. Businesses will pay to advertise inside AI conversations, and enough of them are doing so to create a sizable new revenue stream.
Alec Shao, Newegg performance marketing manager, an advertiser on OpenAI's own ads site explains the attraction directly:
“We want Newegg to be part of the conversation when someone is researching what to buy.”
OpenAI isn't close to Google in advertising revenue. Alphabet reported US$81.63 billion of Google advertising revenue in Q2 2026. Search and other advertising alone generated US$63.27 billion, up from US$54.19 billion a year earlier.
Meta generated US$59.36 billion of Q2 advertising revenue, while Amazon generated US$19.81 billion from advertising services. OpenAI's roughly US$250 million quarterly equivalent makes clear how much ground separates a fast growing new entrant from established digital advertising businesses.
However, ChatGPT offers advertisers something those numbers don't capture. Search advertising usually begins with a query. Social advertising often begins with interests, behaviour and attention. Amazon can catch a shopper close to purchase. A ChatGPT conversation can contain a goal, budget, constraints, preferences and several rounds of comparison before an ad is selected.
OpenAI says its ad system considers the context and intent of the current conversation, the ad and landing page, advertiser supplied context hints and, when personalization is enabled, selected information from a user's wider ChatGPT experience. Advertiser hints describe relevant conversations, topics or keywords, but they aren't exact match search keywords.
The auction is already becoming familiar territory for performance marketers. OpenAI supports CPM and CPC buying and recommends starting CPC bids around US$3 to US$5. It says eligible ads compete through a relevance weighted second price auction.
Whether a detailed conversation produces a better customer than a search keyword hasn't been established. Advertisers now have enough buying and measurement tools to start finding out.
Regulators may reach AI advertising earlier than they reached search and social platforms. Google is already operating under court ordered search remedies, while Amazon now faces allegations over how its ad auctions were priced. OpenAI is entering the same commercial territory with regulators already alert to distribution control, auction transparency, data use and platform power.
ChatGPT Ads is still small beside Google, Meta and Amazon, but it reached a US$1 billion annualized run rate in less than 200 days. Regulators may not need to wait for comparable scale before asking how the market works, especially if distribution, data or auction rules begin limiting competition.
Canadian advertisers can already create and manage ChatGPT Ads through OpenAI's self service Ads Manager, with a minimum daily budget of C$25. Canadian financial firms face an important limit, though. OpenAI currently generally prohibits financial services ads outside the United States, where approved advertisers can be accepted case by case for products such as credit cards, mortgages, brokerages, insurance, loans and payments.
OpenAI treats financial services as a restricted category requiring extra safeguards, including enhanced advertiser verification or manual review, and says advertisers may have to prove they are properly licensed.
Financial software, budgeting tools and educational products may have more room to experiment. For firms that can participate, can ChatGPT produce customers at a better cost and with stronger intent than search, social media, affiliates or other channels?
Will regulators act on AI advertising before market power becomes difficult to unwind?
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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