Karsten Wenzlaff, Advisor
August 26th, 2025
Mar 25, 2026 | NCFA Fintech Market Activity | Payments And Money Movement

On March 25, 2026, Chexy closed a $14M Series A led by Khosla Ventures. Co-founder and CEO Liza Akhvledziani Carew said the company started by helping renters earn rewards on their biggest monthly expense, then grew into “something much bigger: a new way for money to move in Canada.”
Chexy’s own numbers speak for themselves. The company says it now supports 5,000+ businesses, $1B+ in annual payments, and $20M in rewards value. That's certainly not a narrow rent rewards story and points to a scaling payments company for businesses.
The company has already shown that rent can work as an entry point. In its first year, the company said it processed $30M in rental payments and generated $1M in rewards value. Now Chexy’s business offering has expanded considerably, including supplier payments, commercial rent, payroll, corporate tax, GST and HST remittance, payroll remittance, and property tax. This wider mix of recurring payments gives the company more ways to increase usage and build a deeper payments relationship.
While Chexy is part of the trend where rent and housing payments pull more fintech models into consumer finance, it's broadening it's model built around payments rather than point of sale credit. And the capital gives the fintech more runway to build and grow.
If rent brings users in, which payment flows give Chexy the best chance to become a durable Canadian money product?
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 23, 2026

Image: Pexels/Towfiqu barbhuiya
Most people say they want more features, but what they usually reward is a system they can read. Trust rarely begins with maximum capability. It begins with knowing what the product is doing, what choices are available, and what happens after each action. That matters even more when a product handles money. A clean structure, a visible rule, and feedback that arrives right after the action can build more confidence than a long list of extras that only appear useful on paper.
Researchers increasingly describe digital trust in similar terms. In an open-access survey, transparency is defined as open and clear information about how a service functions, alongside auditability and traceability, which is another way of saying users trust systems they can inspect, rather than merely admire from a distance. That idea helps explain why simpler, more legible products often feel more credible than feature-heavy ones that demand constant interpretation. It also reframes transparency as a working property of the product, not a slogan added after launch.
One of the clearest ways to see this principle is inside rule-based games, where trust does not come from vague promises. It comes from stable mechanics, familiar options, and immediate feedback. A practical example is when online players play blackjack with bitcoin. Many sites list multiple versions, including classic blackjack, European blackjack, multi-hand blackjack, and live dealer tables, but the core objective stays steady: make decisions within a known structure and see the outcome without delay.
That consistency matters. When the rule space stays readable, people spend less energy decoding the environment and more energy understanding cause and effect. Seen that way, trust grows because the system behaves the same way twice, then 10 times, then 50 times. If you want to play blackjack with bitcoin after learning the basics, the value is not novelty. It is the chance to observe how confidence forms when actions are bounded, options are clear, and each result connects cleanly to the choice that came before it.
A short video on how memory limits in gaming shaped level design in the past carries the same idea forward because early console designers had so little memory that every tile, sprite, sound, and obstacle had to justify its place. The result was not just smaller worlds. It was clearer communication. Players learned one rule, then saw it repeated and remixed until the system felt readable. That is still a useful model for digital products now. Constraint often builds confidence because it strips away decorative noise and leaves the user with a structure they can understand.
This is where many digital products get the balance wrong. Teams assume trust comes from abundance, so they keep adding tabs, modes, settings, prompts, badges, and layered explanations. Some of those additions may be useful later, but they often arrive before the base logic is clear. The user then has to interpret the product before they can use it. That is a costly first impression. It also creates a subtle mismatch between what the interface promises and what the user can confidently predict, which is often where doubt begins.
Legibility works differently. It reduces the mental workload. It lets people answer a few quiet questions almost immediately: What can I do here? What happens if I do it? What changed because I acted?
When those questions become easy to answer, the product starts to feel honest. It is not trying to wow the user. It is showing its logic through behavior. That honesty compounds over time because repeated clarity is easier to remember than occasional brilliance.
That same theme shows up in broader discussions of transparency in digital entertainment and finance-adjacent systems, where clearer signals and measurable parameters are increasingly treated as part of the experience rather than a technical afterthought.
Visible rules do not mean shallow systems. They mean systems that reveal their logic early enough for users to form a stable mental model. Once that model is in place, depth feels earned instead of confusing. More features can still matter, but only after the foundation is clear. Otherwise, added capability behaves like noise. A product does not need to expose everything at once. It needs to make each next decision understandable enough that the user wants to continue.
That is why transparent rule sets often earn confidence faster than feature bloat. They reduce doubt at the exact moment doubt is highest. They tell users, in effect, this is how the system works, this is what your options mean, and this is how outcomes connect to inputs. In a crowded market, that kind of clarity is not cosmetic. It is operational. And it is increasingly supported by empirical work showing that greater recommendation-system transparency can raise consumer trust by improving perceived effectiveness and lowering discomfort.
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 19, 2026 | NCFA Fintech Market Activity | Payments Operations And AI

On Mar 12 2026, Razorpay launched Agent Studio, a product it says lets businesses build and run AI agents across payment and post payment workflows. Razorpay says the system is built on Anthropic’s Claude Agent SDK.
Based in Bengaluru, India, Razorpay was founded in 2014 and has grown into one of India’s largest payment platforms. The company says it supports millions of businesses, reaches more than 300 million end consumers, and processes about $180 billion in annualized payment volume. Its stack spans payment acceptance, processing, disbursements, payouts, and business banking through RazorpayX.
Agent Studio targets the operational layer that sits around those flows. In its launch post, Razorpay lists agents for dispute response, subscription recovery, abandoned cart follow up through WhatsApp or email, settlement summaries delivered through messaging, and cashflow forecasting over a 3 to 7 day window. It also includes tools for cash on delivery orders, such as identifying and analyzing returns sent back to the seller.
These workflows cost merchants and payment teams money every day. Disputes create losses and take time to resolve. Failed recurring payments reduce revenue. Abandoned carts lower completed purchases. Cash on delivery returns add shipping and handling costs. Razorpay is building automation around these problem areas, not just the payment itself.
The company is also introducing a no code agent builder in beta and plans to open the system to third party agents. That points to a setup where merchants choose automation for specific tasks across the payment lifecycle, instead of relying only on bundled platform features.
This extends Razorpay’s recent work on AI driven payments, including its earlier work with NPCI on agentic payments to enable AI driven transaction flows. The focus now moves to what happens after a payment, where recovery, customer support, and problem cases still rely heavily on manual work.
Acceptance rates and pricing are still important for PSPs and merchant platforms. Operational efficiency is becoming part of the core value proposition, especially where it directly improves recovery and reduces cost.
If agents handle disputes, recovery, reporting, and cash on delivery losses, does competition start to favour the provider that cuts the most cost for merchants, not just the one with the lowest processing price?
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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