Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Category Archives: Entrepreneurs, Start-ups, Small Businesses
Telpay Acquires Notch To Expand SME Cash Flow
July 9, 2026 | NCFA Market Activity | Payments And Money Movement, SME Finance And Business Banking, Fintech And Innovation
Telpay Adds Accounts Receivable And Payment Collection
On July 7, 2026, Winnipeg based Telpay announced that it acquired Notch Financial, a Toronto based accounts receivable automation company. Terms weren't disclosed.
The acquisition brings accounts receivable, invoicing and payment collection together with Telpay’s existing payment, payroll and approval workflows, expanding the platform from payment execution toward SME cash flow management.
Mark Loewen, President of Telpay, said:
"Businesses don’t lose sleep over how payments are processed, they worry about whether they’ll have the cash they need when they need it."
Notch Adds Receivables To Telpay who has spent more than 40 years helping businesses manage money going out through supplier payments, payroll and approval workflows. Notch adds the incoming cash side, including invoices, collections and receivables visibility.
The transaction confirms that Telpay is going from payments execution toward cash flow control for Canadian SMEs.
SME Cash Flow Needs Better Timing
The acquisition comes as Canadian small businesses are paying closer attention to receivables, working capital and payment timing.
Payment timing remains an important operating indicator for Canadian SMEs. See: Canadian Small Business Revenue Turns Negative In Q4.
Cash flow pressure doesn't always come from a lack of sales. It can come from slow collections, manual invoicing, fragmented approvals or poor visibility into what cash is actually available. That's why AR and AP automation are becoming core SME infrastructure rather than back office software.
The same trend appears in Open Finance SME Capital Access, where fresh invoice, payment, account and cash flow data can support faster credit decisions and better liquidity tools.
Payments Platforms Move Closer To Cash Flow
Payment companies are expanding beyond transaction processing into the operating layer around cash flow. See: Lloyds Expands SME Payments With Stripe Infrastructure.
The strategic question though is who owns the actual SME relationship? The account, the payment workflow, the operating data or the cash flow tools.
Telpay now covers both sides of SME cash flow: (1) Outgoing payments through supplier payments and payroll, and (2) Incoming cash through invoicing, collections and receivables visibility.
The platform value increases when a business can see both sides without stitching together separate tools.
Jordan Huck, CEO of Notch, said:
"Together, we see tremendous opportunities to deliver even more value as businesses manage every aspect of their cash flow."
Talking Point
Will Canadian SME payment platforms win by processing transactions, or by owning the cash flow workflow around invoices, collections, approvals and working capital?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer to peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: [www.ncfacanada.org](http://www.ncfacanada.org)
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Global Agentic Regulator Hackathon Applications Now Open
July 9, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Risk Compliance And Regtech, Cybersecurity And Fraud, Digital Identity And Trust, Payments And Money Movement, Digital Assets Blockchain And Tokenization
Join A Global Challenge To Build Practical Agentic AI Prototypes For Regulators And Public Authorities
On July 8, the Cambridge Digital Innovation & Regulation Initiative (C:>DIR), hosted by Financial Innovation for Impact (Fii), launched the Global Agentic Regulator Hackathon. Applications are NOW OPEN for a worldwide challenge that brings together policymakers, regulators, AI researchers, engineers, financial institutions, fintechs, RegTechs, SupTechs, academics and technology innovators to develop practical, explainable and deployable agentic AI prototypes for public authorities. The National Crowdfunding & Fintech Association of Canada (NCFA) is participating as an Ecosystem Partner to help promote the initiative across global fintech ecosystems, including Canada's fintech, AI and innovation networks.
The virtual hackathon runs from July 8 to September 18, 2026, with concept note submissions due by July 31. It carries a US$100,000 prize pool, and winning teams will also be invited to present at the Singapore FinTech Festival, hosted by GFTN. The launch is supported by the BIS Innovation Hub, Global Financial Innovation Network (GFIN), Digital Regulation Cooperation Forum (DRCF), and a global group of supporters, ecosystem partners and academic institutions.
Building Supervisory Tools Before the Market Fully Arrives
AI agents are already operating in financial services. The next question is whether regulators will have the tools to supervise them.
According to the organizers, the CCAF 2026 AI in Financial Services Global Report found that 58% of fintechs and 47% of traditional financial institutions are adopting agentic AI, compared with 28% of regulators. That gap is important because AI agents can recommend, transact, monitor, route, execute and coordinate across systems faster than traditional supervisory processes were designed to handle.
This is why the hackathon is strategically important. It treats agentic AI as a supervision and infrastructure issue, not just a productivity tool. Public authorities need better ways to monitor risks, test model behaviour, understand accountability and respond to market activity that can develop at machine speed.
Six Priority Challenge Areas
Participants will develop prototypes across six challenge areas:
- AI Enabled Financial and Non Financial Advice
- Agentic Payments, Commerce and Their Oversight
- Decentralised Market Infrastructure, Smart Contracts and AI Agents
- AI Driven Fraud and Scams
- Know Your Agent (KY-A), Digital Verification and Digital Public Infrastructure
- Market Manipulation and Agentic Herding
These themes reflect where financial supervision is likely to be tested first as AI systems begin initiating transactions, interacting with digital assets, providing financial guidance and coordinating increasingly complex financial activities.
Why This Matters for Builders
For founders, researchers, fintech teams, RegTechs and infrastructure providers, the opportunity is not simply to build smarter AI. It is to help shape the supervisory capabilities that may define trusted digital finance as autonomous systems become more common.
The breadth of organizations involved is a strong signal. With regulatory partners, global financial innovation networks, technology firms, academic institutions and ecosystem groups participating, the hackathon shows that agentic AI oversight is becoming a shared public and private sector priority.
For Canadian participants, the timing is also practical. Canada has strengths in artificial intelligence, financial services, digital identity, payments, cybersecurity, digital assets and regulatory innovation. This gives Canadian builders a chance to contribute to global supervisory tools before standards and operating models become more established internationally.
Who Should Participate
The organizers are seeking multidisciplinary teams that combine regulatory knowledge with technical expertise, including:
- Regulators and public authorities
- AI researchers and engineers
- Financial institutions
- Fintech, RegTech and SupTech firms
- Universities and academic researchers
- Technology innovators
Key Dates
| Milestone | Date |
| Preliminary round opens | July 8, 2026 |
| Concept submissions close | July 31, 2026 |
| Teams selected | August 4 to August 14, 2026 |
| Virtual build phase | September 1 to September 8, 2026 |
| Global demonstrations and regulator voting | September 15, 2026 |
| Winners announced at the C:>DIR Summit, Cambridge | September 18, 2026 |
Apply to the Global Agentic Regulator Hackathon
Applications for the preliminary round are open until July 31, 2026. Regulators, AI researchers, engineers, fintechs, RegTechs, SupTechs, financial institutions, universities and technology innovators are invited to submit concept notes and develop practical agentic AI prototypes for the future of financial supervision.
Read the full challenge details and submit your application through the official C:>DIR Global Agentic Regulator Hackathon page.
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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Why Fintech Can’t Wait For Quantum Computing
July 3, 2026 | NCFA Insight | Cybersecurity And Fraud, Digital Identity And Trust, Risk Compliance And Regtech, Payments And Money Movement, Digital Assets Blockchain And Tokenization, Artificial Intelligence And Data
Post-Quantum Planning Starts Before The Threat Arrives
Governments are no longer treating post-quantum cryptography as a research topic. They're now publishing migration plans.
On June 22, 2026, the White House issued an order on advanced cryptographic attacks, including the risk that adversaries collect encrypted data today so they can decrypt it later. The same day, a separate White House order advanced U.S. quantum innovation across computing, sensing, networking, applications, and industry partnerships.
That combination is the useful development marker for fintech. Governments are funding quantum capability while also pushing organizations to prepare for the security risk that follows.
The financial sector doesn't need to know the exact year a cryptographically relevant quantum computer arrives before it starts planning. Long time customer data, payment credentials, digital identity systems, API certificates, custody systems, vendor software, archived records, and cryptographic keys may remain sensitive for years.
Quantum readiness is therefore becoming an operating requirement. Not someday. Now.
Governments Are Publishing Migration Plans
The policy picture is getting clearer.
NIST finalized its first three post quantum cryptography standards in August 2024. The standards are FIPS 203 for ML-KEM, FIPS 204 for ML-DSA, and FIPS 205 for SLH-DSA. NIST says organizations should begin migrating systems to quantum resistant cryptography.
NCFA has already tracked how post quantum cryptography is entering implementation, with payments, digital identity, secure messaging, APIs, and financial data all exposed to the migration challenge.
Canada has started, too. The Canadian Centre for Cyber Security published a roadmap for migrating Government of Canada non classified IT systems to post quantum cryptography, covering stakeholders, phases, milestones, governance, and departmental planning.
Financial authorities are paying attention too. The Bank for International Settlements published a quantum readiness roadmap for the financial system, and the G7 Cyber Expert Group issued a roadmap for the financial sector's transition to post quantum cryptography.
The practical message is this. Start with awareness, find where cryptography is used, assess risk, plan migration, and work with vendors before deadlines become urgent.
Today's Encryption Protects Tomorrow's Data
The hardest quantum risk is not only future system compromise. It is long term data.
Financial institutions protect account records, payments data, identity documents, loan files, custody records, private market documents, insurance records, tax files, transaction histories, and compliance archives. Some of that data must stay confidential for years or decades.
That creates the harvest now, decrypt later problem. An attacker can collect encrypted data now and wait for stronger decryption capability later.
For fintechs, this impacts the planning window. A company doesn't need to be systemically important to hold sensitive data. A payments provider, open banking intermediary, wallet provider, identity service, lending platform, wealthtech app, regtech vendor, or crypto custodian may all depend on cryptography that was never designed for a quantum era.
You Can't Upgrade Cryptography You Haven't Found
Post quantum migration starts with discovery.
Most organizations know they use TLS, certificates, signing keys, databases, cloud services, APIs, authentication systems, payment connections, and vendor platforms. Fewer have a current inventory of which cryptographic algorithms protect each system, which assets must remain confidential long term, and which vendors control the upgrade path.
That's why cryptographic inventory keeps appearing across official guidance.
A fintech should be able to answer basic questions:
- Where are RSA, elliptic curve cryptography, key exchange, signatures, and certificates used?
- Which customer data must remain confidential for more than five, ten, or twenty years?
- Which APIs, identity tools, custody systems, payment rails, and cloud services depend on vulnerable algorithms?
- Which vendors control cryptographic updates?
- Which systems can support crypto agility without a major rebuild?
- Who owns the roadmap: security, compliance, engineering, risk, procurement, or the board?
Without that inventory, migration plans become guesswork.
Every Vendor Becomes Part Of The Migration
Fintech security is rarely managed by one company anymore.
A single product may rely on cloud hosting, identity verification, payment processors, data aggregators, card issuing platforms, custodians, wallet technology, fraud systems, CRM tools, analytics software, email providers, certificate authorities, and outsourced compliance systems.
That makes post quantum readiness a vendor risk issue.
A fintech can upgrade its own code and still remain exposed through a vendor that cannot explain its cryptographic dependencies. Banks and credit unions face the same issue in reverse. They may need to ask whether fintech partners can support post quantum requirements before onboarding, renewing, or expanding contracts.
The procurement question changes from "is this vendor secure today?" to "can this vendor survive a cryptographic transition without disrupting our product, customers, or regulatory obligations?"
Where Quantum Risk Already Exists
Quantum readiness touches more than cybersecurity teams.
In payments, cryptography protects authentication, transaction integrity, messaging, API connections, certificates, and sensitive account data.
In digital identity, it protects credentials, signatures, documents, device binding, verification records, and trust chains.
In crypto and digital assets, it touches wallets, custody, private keys, signing systems, transaction authorization, smart contract administration, and institutional key management. BTQ's quantum safe Bitcoin and stablecoin roadmap highlights one approach to preparing digital asset infrastructure for post quantum cryptography.
In open banking, it affects API security, consent records, data sharing, third party access, and customer authentication.
In capital markets, it touches trading access, fund administration, investor records, tokenized securities, transfer agency, data rooms, reporting, and long term documents.
In AI and data systems, it affects model access, training data, confidential records, synthetic data pipelines, and secure data exchange.
That breadth is why the topic belongs with executives, product leaders, compliance teams, boards, and investors, not only cryptography specialists.
Canada Has A Public Roadmap, But Fintech Needs Its Own
Canada's Cyber Centre roadmap gives public sector organizations a starting point. It also gives fintech and financial services leaders useful guidance that migration will take planning, governance, technical discovery, budgets, and coordination.
Canada doesn't yet have a full financial sector post quantum mandate comparable to a hard compliance deadline, but that statement should not create comfort.
Canadian fintechs operate in a global market. They sell into banks, credit unions, enterprises, governments, insurers, capital markets, payment networks, and regulated financial institutions. Their buyers may start asking post quantum questions before Canadian rules require formal answers.
A fintech that can show cryptographic inventory, vendor readiness, migration planning, and crypto agility may have an advantage in enterprise sales. A fintech that cannot answer basic questions may face longer diligence, higher security friction, or blocked procurement.
The Next Security Products Aren't Quantum Computers
The near term opportunity is not building quantum computers. It's helping financial organizations prepare for the cryptographic transition. Quantum Bridge's USD $8M raise shows Canadian capital already backing deployment ready quantum safe security for finance, telecom, government, and defence.
Product opportunities include:
- cryptographic inventory and discovery tools
- certificate and key lifecycle automation
- crypto agility platforms
- PQC testing environments
- vendor cryptography questionnaires and evidence systems
- identity modernization for quantum safe credentials
- custody and wallet security upgrades
- API and payment connection readiness testing
- regtech reporting for quantum readiness
- board and risk dashboards for cryptographic exposure
These opportunities are practical because they map to work financial firms already need to do. They need to know what they use, what they protect, which systems carry the highest risk, which vendors control dependencies, and how migration can happen without breaking production systems.
These are the kinds of tools that belong on NCFA's Financial Innovation Map, such as identity, payments, custody, regtech, data governance, and cyber resilience.
Preparation Starts Before The Deadline
Quantum readiness won't arrive as a single upgrade.
Organizations will need inventories, test environments, migration sequencing, vendor commitments, product changes, audit evidence, customer communications, and fallback plans. Some systems will be easy to update. Others will depend on old software, hardware limits, contracts, third party platforms, or regulatory approvals.
That's why waiting for a precise quantum break date is the wrong approach for operators. Ask yourself, your team, your leadership this simpler question, "If a regulator, bank partner, insurer, enterprise buyer, or board asked tomorrow where vulnerable cryptography sits in the business, could the company answer?"
For many fintechs, the honest answer is probably no. So that's the opening to start.
Takeaway: Post quantum cryptography isn't a distant science fiction story anymore. It's becoming part of how financial organizations prove they can protect data, manage vendors, maintain trust, and keep critical services running through the next security transition.
Talking Point
If post quantum readiness starts with knowing where cryptography lives, should fintech due diligence now include a cryptographic inventory before major bank, payments, custody, or identity partnerships?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer to peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: [www.ncfacanada.org](http://www.ncfacanada.org)
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How To Use Cloud Data Lakes For Business Growth Analytics
July 2, 2026
Businesses produce large quantities of data from sales systems, customer interactions, marketing campaigns, websites and operational processes. Organising this information is necessary for identifying opportunities plus making decisions based on facts. Cloud data lakes are flexible environments where organizations store large volumes of structured and unstructured data in one place, which provides a basis for complex analytics but also business intelligence.
Traditional storage systems often require users to organize data before they store it. In contrast, cloud data lakes allow businesses to collect information from many sources and analyze it when necessary - this method helps organizations understand customer behavior, market trends, operational performance as well as potential for future expansion.
Understanding Cloud Data Lakes
A cloud data lake is a central location for storing raw data in its original form. It allows businesses to keep information that does not fit into standard databases. Data is available from websites, mobile applications, social media, sensors, financial systems and tools for managing customer relationships.
Flexibility makes cloud data lakes useful for growth analytics. Organizations are able to combine data from different departments without long preparation periods - this creates a complete view of business activities or helps teams find connections and patterns that are otherwise difficult to see.
Collecting Data From Multiple Sources
Gathering information from many business systems is a primary benefit of cloud data lakes. Marketing data, sales records, customer service interactions, inventory reports next to website analytics are stored together - this broad approach improves the quality and precision of business analysis.
Detailed understanding of performance across the entire organization is possible when businesses collect information from many sources. Analysts are able to study how marketing campaigns affect sales, how support affects customer retention or how inventory management relates to profit - these connections support strategic planning plus initiatives for growth.
Monitoring Business Performance
Growth analytics require the accurate measurement of performance. Free cloud storage supports constant monitoring - collecting information from operational but also financial systems quickly - this allows organizations to follow key performance indicators and react to changes.
Revenue growth, costs to acquire customers, operational efficiency as well as product performance are measurable through integrated tools. Finding performance issues early allows managers to fix problems before they change the final results significantly.
Improving Data Accessibility
Cloud data lakes make it simple for authorized teams to find information. Users retrieve data from a central location instead of searching through separate systems - this increases efficiency and reduces the time required for decision making.
Better accessibility also promotes cooperation between departments. Marketing teams, finance departments, operations managers but also executives use the same data. Decisions are consistent and follow the general goals of the business.
Supporting Advanced Analytics
Cloud data lakes provide the storage as well as computing power necessary for advanced analytical methods. Businesses use predictive analytics, machine learning models and statistical analysis to find patterns that help future growth - these tools allow organizations to look at future opportunities rather than only looking at past reports.
Complex analytics show trends in customer purchasing, identify segments of the market that produce profit or predict demand. By using these insights, businesses distribute resources effectively and make decisions that support expansion while avoiding unnecessary risks.
Enhancing Customer Insights
Understanding how customers behave is a vital part of business growth. Cloud data lakes allow organizations to join customer information from many channels, like websites, mobile apps next to purchasing platforms - this creates a complete profile of the customer.
Preferences, habits and engagement patterns are visible when businesses have a unified view of customer activity - these insights help organizations create specific marketing campaigns, improve the customer experience plus increase loyalty. Better understanding of customers often results in higher revenue and a better position in the market.
Managing Scalability & Cost Efficiency
Data volumes often increase quickly as businesses grow - Cloud data lakes scale to meet the needs of the organization, which allows companies to store and analyze large datasets without spending heavily on new infrastructure - this scalability supports long term growth without the need to replace systems constantly.
Many organizations start data projects with affordable solutions, like limited storage for testing. Businesses move to larger environments with more capacity as their needs for analysis grow. Some providers offer plans with unlimited cloud storage but companies should check usage policies or performance needs before choosing one.
Maintaining Data Governance
Reliable and honest information is necessary for effective growth analytics. Businesses should create data governance rules that define how they collect, store, access next to maintain information. Clear policies improve the quality of data and help the company follow regulations.
Security measures like access controls, encryption plus monitoring tools protect private information. Strong governance ensures that analysis is based on accurate data, which gives decision makers confidence in the insights they use for growth strategies.
Conclusion
Cloud data lakes are a strong foundation for business growth analytics because they centralize information, make data accessible and support complex analysis. They allow organizations to combine data from many sources, understand customers better, monitor performance but also find opportunities for expansion.
See: AI Won’t Solve SME Finance Without Better Data
Using governance practices and analytical tools helps businesses change large amounts of data into useful insights. A managed cloud data lake helps organizations make decisions based on facts, improve how they operate as well as create growth in a business environment that relies on 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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Canada’s Open Banking Regulatory Intelligence Guide
Jun 29, 2026 | NCFA Resource | Open Banking Open Finance, Regulation And Policy
Last updated: September 11, 2026
Canada Open Banking Rules For Readiness And Consultation
NCFA has published a new Regulatory Intelligence guide to Canada Open Banking and Consumer Driven Banking Rules. The interactive resource organizes the proposed regulations, implementation requirements, consultation questions and strategic issues shaping Canada’s regulated open banking framework.
For a broader view of Open Banking and Consumer-Driven Finance, including the Canadian market map, 146 learning modules, company intelligence, global benchmarks and interactive discussions, explore NCFA Open Banking & Consumer-Driven Finance Interactive Intelligence.
The guide tracks accreditation, data scope, consent, authentication, security, technical standards, liability, reporting, complaints, national security review, fees and administrative monetary penalties. It also explains why consumer trust, fraud prevention and clear accountability are central to implementation. For further analysis, see Canada's Open Banking Strategy Starts With Trust.
What It Does In Practice
The resource gives readers a structured way to understand what the proposed Consumer Driven Banking Regulations would require before final rules are published.
Instead of treating the regulations as one long legal document, the guide breaks them into operating topics. Each section separates regulatory requirements, implementation work, consultation considerations and NCFA’s strategic perspective.
Canada’s open banking framework is progressing from policy design into regulatory implementation. Firms need to understand more than API access. They need to prepare evidence for accreditation, consumer consent flows, registry checks, authentication records, security safeguards, breach response, complaint procedures, service standards, reporting obligations and board level accountability.
The 60-day Canada Gazette consultation closed on August 26, 2026. The proposed regulations remain subject to finalization, while firms continue preparing for accreditation, supervision, data-sharing, consent, security and operational requirements.
Who Gets Value
This resource is useful for fintech founders, open banking platforms, financial institutions, credit unions, payment service providers, data aggregators, regtech providers, compliance teams, investors, policymakers and industry associations.
It is especially useful for organizations assessing accreditation, product design, consent architecture, data sharing duties, technical standards, cybersecurity, consumer protection and implementation costs.
Strengths And Limits
The strength of this resource is its focus on regulatory readiness. It converts the proposed Consumer Driven Banking Regulations into a practical intelligence layer that can support planning, consultation, product design and ecosystem coordination.
The guide connects the proposed regulations to Canada’s policy objectives, including stronger consumer protection, fraud mitigation, secure financial data sharing, competition and confidence in the open banking framework.
It also connects regulation to commercial opportunity. The guide identifies where read access, data portability, identity and income verification, cash flow analysis, embedded workflows, write access and open finance may create future product and infrastructure demand.
The regulations remain proposed and may change following consultation. Readers should use the guide for ecosystem intelligence and planning, not as legal, financial, investment, compliance or professional advice.
Key Resources
Canada Open Banking and Consumer Driven Banking Rules (primary NCFA Regulatory Intelligence guide)
NCFA Open Banking & Consumer-Driven Finance Interactive Intelligence (market map, 146 learning modules, company intelligence, discussions and global benchmarks)
Canada's Open Banking Strategy Starts With Trust (consumer protection and fraud readiness)
Open Banking In Canada Opportunity Brief (commercial opportunity layer)
NCFA Financial Innovation Map (ecosystem context)
Proposed Consumer-Driven Banking Regulations (official Canada Gazette source)
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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Conexus Backs JUDI.AI For Credit Union SME Lending
June 29, 2026 | NCFA Fintech Market Activity | Capital Markets And Funding, SME Finance And Business Banking, Artificial Intelligence And Data, Fintech And Innovation
Credit Union Capital Backs AI Small Business Lending
On June 29, 2026, Conexus Venture Capital invests in JUDI.AI, a Vancouver fintech whose AI cash flow underwriting platform helps credit unions and community banks make faster small business lending decisions. Existing investor Unitus Community Credit Union also participated.
The round size wasn't disclosed, but its a strong transaction. A credit union backed venture fund is financing AI lending infrastructure that already serves credit unions and community banks across Canada and the U.S.
JUDI.AI says its platform has processed more than $2 billion in small business loan applications, supports more than 50 clients, and can reduce the loan application and decisioning process from more than seven days to under ten minutes without collecting financial statements. The platform uses permissioned bank transaction data, a domain specific credit model, and a real time view of cash flow to assess small business borrowers.
Conexus Backs Faster Credit Union Lending
Small business lending has always fit the credit union model in theory. Credit unions know local communities, relationship banking, and member service. The problem is operating cost.
A small business loan can still require bank statements, financial statements, manual review, back and forth questions, policy checks, risk scoring, and approval work. If the process takes too long, borrowers look elsewhere. If the process costs too much, lenders struggle to serve smaller tickets profitably.
JUDI.AI is targeting that gap. The platform combines cash flow analysis, automated underwriting, loan portfolio reporting, and analytics for credit unions and community banks. Instead of relying only on older financial statements or conventional lending metrics, it helps lenders assess live business activity through permissioned transaction data.
That gives credit unions a way to compete on speed without abandoning lending discipline.
Conexus Invests After Using JUDI.AI
Conexus was already familiar with the platform before the venture investment. The announcement says small business members in Saskatchewan previously used JUDI.AI for years to access loans faster, while Conexus reduced the time required to process applications.
That makes the investment more than a financial bet. Conexus is backing a tool it's used inside its own lending workflow, where speed, borrower experience, staff capacity, and credit discipline all matter.
Gord Baizley, CEO of JUDI.AI, framed the business around lending practice:
"At JUDI, we're not just selling a platform. We're championing a methodology. We've learned that success in small business lending is more than just technology, but a holistic approach that blends people, process, technology and intentional growth."
Better SME credit infrastructure is not only about faster models. It also depends on workflow design, risk controls, lender adoption, borrower experience, and portfolio monitoring.
Cash Flow Data For SME Credit
JUDI.AI's model fits a larger fintech pattern. SME finance is increasingly built around current business activity rather than static documents.
That connects directly to Canada's open banking opportunity and NCFA's Open Finance SME Capital Access opportunity work. Read access can support income verification, affordability checks, cash flow insight, fraud signals, onboarding, and SME credit.
For small businesses, the commercial value comes when permissioned financial data helps lenders understand revenue, expense patterns, repayment capacity, seasonality, and account behaviour without weeks of manual collection.
The AI model needs good data, the lender needs clear controls, and the borrower needs a simpler application path. If those pieces work together, small business credit can become faster and more accessible without turning into loose lending.
JUDI.AI's decade of performance data also gives the platform a stronger adoption story than a new AI wrapper. Credit unions are buying a tested underwriting process designed for their borrower base.
Canadian SME Finance Is Getting More Operational
Float's $85 million Series C shows Canadian business finance platforms expanding across payments, cash management, credit, and AI finance workflows.
EQ Bank's Business Card launch adds spending, cashback, interest, and cash flow tools to its SME banking stack.
Better banking options for Canadian SMEs remain a live competition issue as business owners seek lower friction, better credit access, and more useful digital financial tools.
NCFA's Financial Innovation Map tracks SME finance, open finance, AI underwriting, business banking, and financial data infrastructure opportunities.
Can Credit Unions Scale AI Lending Locally?
The Conexus investment shows how credit unions can use venture capital as more than a financial return tool. They can back fintech infrastructure that improves member service, strengthens local business lending, and gives community based institutions a better way to compete with digital lenders.
For JUDI.AI, the next step is continued growth. The platform already supports credit unions and community banks across Canada and the U.S., and the new capital supports North American growth and product development. The strongest path is helping lenders approve strong small business borrowers faster, manage risk with better cash flow data, and keep local credit relationships inside the credit union system.
The competitive question is whether credit unions can adopt fast enough? Fintech lenders, banks, embedded finance platforms, and business finance software firms are all trying to own more of the SME finance relationship. Credit unions have trust and local presence. They now need digital credit infrastructure that matches borrower expectations.
Talking Point
If credit unions can combine local member trust with AI cash flow underwriting, can they become the strongest distribution channel for small business lending in Canada?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: [www.ncfacanada.org](http://www.ncfacanada.org)
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AI Won’t Solve SME Finance Without Better Data
June 26, 2026 | NCFA Insight | SME Finance And Business Banking, Artificial Intelligence And Data, Open Banking And Open Finance, Fintech And Innovation
OECD Says Reusable SME Data Is The Real Unlock
On June 26, 2026, the OECD published Leveraging AI and Digital Tools for SME Sustainable Finance, arguing that one of the biggest barriers to sustainable finance for small and medium sized businesses is not only capital availability but the cost of collecting, verifying, sharing, and monitoring reliable business information.
SMEs account for around 50% of economic output and business sector environmental impacts, yet remain underrepresented in sustainable finance. Sustainable finance markets have grown, but smaller firms still struggle because sustainability data is costly to generate, difficult to verify, and fragmented across reporting frameworks.
So what does this mean?
AI can help lenders process information faster, automate routine work, and monitor portfolios, but only when SMEs can produce trusted, reusable data. Without that foundation, AI just processes weak information faster.
The Real Barrier Is Information Cost
The OECD identifies four main barriers holding back SME sustainable finance:
- information asymmetry, because SMEs often have limited disclosure, shorter credit histories, weaker collateral, and less standardized reporting
- fragmented reporting, because banks, buyers, regulators, and platforms often ask for similar sustainability data in different formats
- digital capability gaps, because many SMEs lack the time, budget, systems, and technical skills to collect and report sustainability information
- high transaction costs, because due diligence, verification, monitoring, and reporting can be expensive relative to small SME loan sizes
The report cites survey evidence that SMEs identify lack of time at 42%, technical difficulties at 41%, and high reporting costs at 41% as top barriers to sustainability measurement and reporting.
Many SMEs may want financing for efficiency upgrades, transition investments, or buyer requirements, but the paperwork and verification burden can make targeted sustainable finance harder to access than standard financing.
AI Needs A Usable Data Trail
The OECD looks at the full financing path, not just the lending decision. The process starts when an SME collects sustainability information and continues through bank onboarding, risk review, monitoring, and reporting.
For SMEs, the first job is basic data capture. Carbon calculators, digital templates, consent based APIs, and automated reporting tools can help owners turn energy use, emissions, invoices, utility data, and operating records into information lenders can review.
For financial institutions, the work then moves through three stages. Front office tools can help with onboarding, document intake, product matching, and early screening. Middle office tools can support risk review, evidence checks, benchmarking, and sustainability claim review. Back office tools can monitor targets, prepare reports, track KPIs, and keep portfolio records current.
The OECD’s warning is direct and impactful. AI cannot compensate for missing, inconsistent, or weakly verified data. AI becomes useful only when the underlying information is trusted enough to compare, reuse, and monitor over time.
Small Loans Break When Admin Costs Stay High
Sustainable finance does not scale for SMEs if every small loan requires a custom review. Origination, due diligence, verification, monitoring, and reporting all take time. When the loan is small, those fixed costs can make SME sustainable finance unattractive for lenders even when capital is available.
This is why the OECD's lifecycle approach may help. Digital onboarding, reusable sustainability credentials, API based data sharing, AI assisted verification, and continuous monitoring can reduce the cost of serving smaller borrowers.
The opportunity is not just faster approvals. It is making small ticket sustainable finance workable for lenders and less painful for SMEs.
Global Examples Point To Reusable Data
The OECD highlights several initiatives that show how reusable sustainability data can work in practice.
Denmark's Climate Compass gives SMEs a free digital tool to calculate Scope 1, 2, and 3 emissions in line with recognized standards. The SME Climate Hub offers a free carbon calculator for micro and small businesses. Ireland's Climate Toolkit 4 Business combines an emissions calculator with a climate action plan.
Singapore's Project Greenprint helps SMEs generate emissions reports by pulling data from trusted sources, while the United Kingdom's Project Perseus explores how SMEs can share energy data with banks through reporting solutions. Belgium's Kube ESG, developed with major Belgian banks, gives SMEs a digital platform for sustainability reporting.
SMEs shouldn't have to rebuild the same sustainability file for every bank, buyer, or public program. They need data that can be generated once, verified, and reused with permission.
What Canada Should Take From This
Canada already has many of the building blocks the OECD describes, but policy and market conversations are often separate.
Open banking and open finance can support permission based business data sharing. Digital identity can improve trust and verification. AI underwriting can reduce manual review. Embedded finance can connect lending to accounting, payments, invoicing, payroll, and commerce data. Sustainability reporting tools can help SMEs generate the evidence lenders and buyers increasingly request.
The opportunity is to connect those pieces. If Canadian SMEs can share trusted business and sustainability data through secure, interoperable systems, lenders can reduce manual work and price risk with better information.
That is where sustainable finance becomes a fintech infrastructure problem. The outcome is trusted business data that SMEs can reuse across banks, buyers, insurers, platforms, and government programs.
Related NCFA Coverage
Open banking in Canada shows how permission based data sharing can improve financial services and reduce friction for consumers and businesses.
NCFA's Open Banking Opportunity Brief explores the commercial opportunities created by data portability and controlled financial data access.
Float's AI business finance stack points to how Canadian SME finance platforms are moving toward connected finance workflows.
EQ Bank's SME operating account push shows how business banking is expanding from accounts into spending, cash flow, and operating tools.
NCFA's Financial Innovation Map tracks opportunities across SME finance, open finance, AI, digital identity, sustainability, and financial data infrastructure.
Talking Point
If trusted SME data was portable and secure between businesses, lenders, buyers, insurers, platforms, and public programs with permission, which parts of commercial lending would still need manual verification?
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