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Why AI agents, not humans, may soon decide where your money moves

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Why AI agents, not humans, may soon decide where your money moves

Podcast 9 - Rebundling of financial services
Published:
22-09-2026
#Ecommerce Strategy
#Payments & Digital Finance
#Embedded Finance
#Payments
#Fintech
#Future of Commerce
#FinTech Insights
#Digital Commerce
#Agentic AI
#AI Commerce

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The Great Rebundling of Financial Services

Why AI agents, not humans, may soon decide where money moves

For fifteen years, financial services unbundled into hyper-specialised SaaS tools: one product for FX, another for compliance, another for KYC, another for reconciliation. Now the industry is moving the other way, back towards single platforms and embedded offerings that do it all.

In this episode of the GetFutureReady Podcast, recorded live at Innovify's September community panel in London, host Maulik Sailor, Founder and CEO of Innovify, is joined by Phillipp of Aazzur and Alistair of Integrated Finance to discuss the rebundling of financial services, the missing "trust layer" for AI agents, and what new entrants can learn from the last decade of neobanking.

From Unbundling to Rebundling

The panel traces how the last fifteen years of point solutions, APIs for FX, compliance, KYC and reconciliation, are giving way to demand for a single platform or embedded offering that removes overhead and regulatory complexity. AI is accelerating that shift by making it dramatically cheaper to build (and buy) full-stack financial products, changing the calculus between building in-house and buying proven infrastructure.

The Missing Trust Layer for AI Agents

The panel argues that APIs never delivered a true standardisation layer: every provider expresses "an account" or "a payment" differently, which makes rebundling those services technically hard. As AI agents start acting on a user's behalf, initiating payments, choosing providers, executing transactions, the real gap is not technology but a "trust layer": a way to safely authorise and audit what an agent does with someone else's money, and to handle disputes and reversals when something goes wrong.

Embedded Finance in Practice: Uber's Driver Bank Accounts

As a concrete example of embedded finance already at work, the panel points to Uber issuing branded bank accounts to its drivers, paying out instantly when a driver ends a shift rather than after several days through an external bank. The stated aim is retention: keeping good drivers on the platform, while the extra payments revenue on top of Uber's take is described as material at scale.

Vertical, Niche Platforms vs Horizontal SaaS

The panel argues that the strongest performers of the last few years have not been generalised, horizontal SaaS tools but vertically specific platforms serving one type of business in detail. A niche platform can build a much richer data model of its target customers, and that same depth of customer data makes it easier to bolt on adjacent services, including financial ones, than it is for a generic horizontal tool.

Lessons for New Entrants: N26, Monzo and Revolut

Discussing what a new entrant into banking should learn from the past, the panel is direct that the five core financial products (pay and get paid, lend and borrow, save and invest, insurance, and rewards) are static and unlikely to change. What separated the neobanks that scaled, N26, Monzo and Revolut among them, was not the underlying technology but distribution and a genuine edge, such as N26's much lower cost of customer acquisition compared with incumbent banks. The panel's advice to anyone starting a new bank today: don't build the infrastructure yourself, and focus on distribution and a defensible niche rather than trying to serve everyone at once.

Agents, Not Brands, Choosing the Service

Looking ahead, the panel discusses how AI agents acting on a user's behalf could take over product discovery and purchasing decisions, potentially reducing the influence of brand loyalty in favour of whichever combination of price, terms and reliability the agent judges best. The panel debates what this means for distribution, for platform operators' relevance once agents can route around any single interface, and for how trust and regulation keep pace as that shift plays out.

FAQ

What does "rebundling" mean in financial services?

Rebundling describes the shift back towards single platforms or embedded offerings that combine functions such as FX, compliance, KYC and reconciliation, reversing the previous decade's trend of unbundling those functions into separate specialised SaaS tools.

What is the "trust layer" the panel describes?

It refers to the missing mechanism that would let an AI agent safely initiate and authorise a regulated financial transaction on a user's behalf, including how disputes, reversals and liability are handled when something goes wrong.

How does Uber use embedded finance?

Uber issues branded bank accounts to its drivers so they are paid instantly when they finish a shift, rather than waiting several days through an external bank, which the panel frames as a retention tool that also generates additional payments revenue.

Why are vertical SaaS platforms outperforming horizontal ones?

The panel argues that niche, vertically focused platforms can build a richer, more specific data model of their customers than generalised tools, which makes it easier to add adjacent services, including financial ones, on top.

What can new entrants learn from N26, Monzo and Revolut?

The panel points to distribution and a genuine competitive edge, such as materially lower customer acquisition costs, rather than the underlying technology, as the real differentiator behind the neobanks that successfully scaled.

Will AI agents change how customers choose financial products?

The panel discusses the possibility that AI agents acting on a user's behalf could increasingly drive product discovery and purchasing decisions, which may reduce the weight of brand loyalty relative to price, terms and reliability.

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