Karsten Wenzlaff, Advisor
August 26th, 2025
Mar 4, 2026 | NCFA Fintech Market Activity | Regtech And Financial Crime Compliance

AI image robot analyzing financial data in office
On March 4 2026, UK based Vivox AI raised £1.3 million to scale AI agents built for AML, KYB, and KYC workflows inside regulated financial institutions.
Vivox AI ties the raise to current deployment claims across enterprise customers operating in more than 100 countries, including the UK, Europe, the United States, and Singapore. The release says complex compliance case processing time falls from about six hours to about 30 minutes, false positive screening alerts fall by up to 86%, and straight through processing reaches up to 50% for selected onboarding and due diligence workflows.
AML, KYC, and KYB work is repetitive, document heavy, and costly. Time per case, alert volume, and exception handling drive staffing levels and backlog risk. The goal is to target those exact cost drivers. Less time per case reduces analyst hours. Lower false positive rates reduce review load. Higher clean through processing reduces manual touch rates.
The product is described as separate task agents rather than one general AI layer. That design fits regulated workflows more closely because onboarding, due diligence, screening, and case handling can be controlled, tested, monitored, and audited as separate processes. In practice, compliance teams need faster file handling, cleaner audit trails, and fewer manual reviews that do not add risk insight.
Canada recently updated its Canada anti fraud policy and continues to raise expectations on prevention, detection, and reporting. That pushes more pressure through AML, KYC, and KYB operations while boosting financial crime compliance innovation.
Vivox AI is entering a category where established Canadian and Canada connected firms already cover adjacent parts of the stack. Trulioo identity verification supports global KYC and KYB onboarding. iComply compliance automation covers modular AML, KYC, KYB, and KYT workflows. Nasdaq Verafin financial crime controls serves financial institutions with AML, fraud, and investigation tools. Vivox AI’s stated position is narrower and more execution focused: task specific agents inside case work, screening, and due diligence workflows.
For operators key metrics such as time saved per case, false positive rates, exception rates, audit evidence quality, and post approval error rates will determine whether automation lowers cost or adds a second layer of review.
If compliance automation cuts a six hour case to 30 minutes and reduces false positives by up to 86%, does workflow design replace compliance team size as the main scaling lever?
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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Mar 2, 2026 | NCFA Fintech Market Insight | AI And Market Structure

On February 21 2026, India’s AI declaration (from it's AI Impact Summit 2026 held in New Delhi from Feb 18-19, 2026) got 91 countries and international organizations behind a voluntary and non-binding framework on AI access, trusted systems, workforce development, scientific use, energy efficiency, and economic growth. Canada is on the list. So are the United States, the United Kingdom, the European Union, China, Russia, Japan, and India.
That kind of participation is a strong policy marker that still makes it relevant for fintech because the document goes straight at the building blocks that determine who can deploy AI at scale and who gets left behind. Affordable compute, trusted tools, resilient infrastructure, workforce skills, and broader access to AI resources all sit closer to the practical operating requirements for financial institutions and fintechs than generic summit language usually does.
One of the interesting facts about the declarative coalition itself is ten of the 11 BRICS members also appear on the declaration list. That means roughly 90.9% of the Brics bloc also signed onto the same AI framework. On a second axis, six of the 10 named Board of Peace funding contributors also appear on the declaration list. That overlap does not make the declaration binding, but it does show India assembled broader support than a narrow Western technology coalition.
AI infrastructure is becoming a competitive input, not just a policy topic. The countries that line up early around access, trusted systems, and workforce capacity can make it easier for domestic firms to adopt AI tools across lending, compliance, onboarding, fraud controls, customer support, and internal operations. The countries that lag on compute access, skills, or deployment frameworks risk a wider productivity gap.
Canada signed onto a wide multilateral AI framework that includes both major Western economies and most of BRICS. That doesn't create immediate legal obligations. It does, however, strengthen the case for domestic follow through on AI infrastructure, talent, and trusted deployment if Canada wants its fintech and financial services firms to stay competitive as AI moves deeper into core operations.
If nearly the full BRICS bloc and much of the Western alliance can align on a voluntary AI framework, does the next real competitive divide come down to execution rather than diplomacy?
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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March 2 2026 | Feature | AI Governance And Public Safety

AI Image: Conceptual illustration of AI ethics, defense contracts, and public accountability
On February 26 2026, Anthropic said it wouldn't allow two Pentagon use cases in its contracts: mass domestic surveillance and fully autonomous weapons. Two days later, OpenAI said it reached a Pentagon deal for classified AI deployments and argued its safeguards could still hold inside the agreement. The split exposes the real issue now facing AI vendors, governments, and regulated buyers. That is should ethics limits block deals or be enforced from inside it?
Anthropic wasn't on the outside looking in. It said Claude was extensively deployed across the Department of War and other national security agencies and that the company had already put models into classified U.S. government networks. Anthropic also said two use cases, mass surveillance (including of the public), and fully autonomous weapons, we're never included in its contracts. Those cases are the fault lines in the dispute with Trump's Pentagon and US government.
Anthropic framed the issue as a narrow refusal, not a broad rejection of national security work. Dario Amodei said Anthropic supported “98% or 99%” of Pentagon use cases, but the company would not give up the remaining two limits. In its own words, Anthropic said, “we cannot in good conscience accede to their request.” Reuters reported that stance put a defense contract worth up to $200 million at risk.
The dispute escalated when President Trump directed the government to stop work with Anthropic and ordered a six month phase out of Anthropic technology across government. The Pentagon also moved to treat Anthropic as a supply chain risk. That raised the cost of holding hard limits when the customer is the government.
OpenAI took a different approach. In its own statement titled, 'Our agreement with the department of war', the company said its agreement had “more guardrails than any previous agreement for classified AI deployments, including Anthropic’s.” OpenAI also said, “We were—and remain—unwilling to remove key technical safeguards.” That is the core tension in this story.
Anthropic refused the terms it saw as too open. OpenAI signed and argued that stronger controls inside the agreement could still hold the line.
The details matter. OpenAI said the Department of War may use its system for all lawful purposes, but the same published terms say the system cannot independently direct autonomous weapons where law or policy requires human control, cannot make high stakes automated decisions that require human approval, and cannot be used for unconstrained monitoring of U.S. persons’ private information. OpenAI also said it keeps its safety stack in place, limits deployment to cloud infrastructure, keeps cleared personnel in the loop, and could terminate the contract if the government violates the terms.
The two companies are close on headline principles but not identical in practice. Anthropic draws two hard exclusions and refuses to move them. OpenAI accepts a broader legal framework, then relies on contract language, technical controls, and operational oversight to make similar limits enforceable inside the deal. That is a narrower and more conditional ethics model than refusing the agreement outright.
North of the border, the same trust question is already under pressure. After the Tumbler Ridge school shooting, Ottawa’s focus was whether AI evidence and escalation controls hold when governments ask for proof that safeguards, response rules, and accountability processes actually work under pressure. That's different than the Pentagon story that's testing how AI companies react and accept to full on defense contracts.
For fintechs, banks, and infrastructure providers, the lesson is practical. Buyers in regulated markets now ask more than whether a model performs well. They ask who can audit it, who can override it, what records exist, how long they are kept, and whether a vendor can prove that a stated limit still holds when a regulator, a court, or a government agency pushes hard.
On one hand, Anthropic's founders' moral compass highlights one method by maintaining hard limits even at the risk of losing a major federal contract. On the other hand, OpenAI's deal with the department of war is betting that contract terms, technical safeguards, and human oversight can preserve similar limits inside the agreement. Washington shows how quickly the state can force the issue. Ottawa shows what happens when public safety puts the same claims under direct scrutiny. In the next phase of AI adoption, trust rests less on capability claims and more on what a company can prove when the pressure rises.
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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