A fintech agent that moves money has to survive an audit

Disseqt is embedding into Infosys' IT and DevOps teams to put tested, monitored agentic AI into money movement and regulated fintech decisions, part of a joint partnership announced with Tata Technologies.

In fintech, an agent does not just answer a question. It moves money, approves a request, or makes a decision a regulator can later ask about. Every one of those actions has to hold up under scrutiny.

That is the work. Disseqt is now embedded inside the IT and DevOps teams at Infosys to build and fast-track agentic AI for fintech enterprises, with each agent tested before release, monitored in production, and backed by audit-ready evidence.

This was announced as a single joint partnership with Tata Technologies, and its scope spans both fintech and automotive. This page leads with the fintech side and the work running through Infosys.

Where agentic AI meets regulated money

Fintech is unforgiving about mistakes. An agent that mishandles a payment, makes a biased decision, or acts outside policy creates three problems at once: a customer loses trust, a regulator takes notice, and the firm absorbs the financial hit.

So the bar is higher than working code. The agent has to be tested against the ways it could fail, watched while it runs, and able to show its work when someone asks.

Disseqt provides that. We probe the agent before it ships, monitor its behaviour live, and produce the evidence trail that a financial auditor will accept.

The teams at Infosys keep building. Disseqt sits beneath the pipeline as the layer that proves each agent is fit to handle regulated money.

The economics are clear. Disseqt cuts the cost of testing and operating agentic AI by up to 70 percent and improves team productivity by up to 80 percent, freeing engineers from endless manual review.

Why an assurance layer, not a stack of tools

Most firms wire together one tool for testing, one for monitoring, one for policy, and one for audit. In a regulated environment, the gaps between them are exactly where an agent slips and where the audit trail goes missing.

Disseqt is the only unified AI assurance platform covering testing, monitoring, policy, audit, and compliance in one place. Fintech teams do not have to choose between observing their AI and governing it.

The platform runs on three pillars. Test & Detect catches the failure before it touches a transaction. Protect & Enforce holds the agent inside policy while it runs. Prove & Comply turns every action into audit-ready evidence.

AI Assurance is a new category built for exactly this. It is not legacy GRC, it is not a single evaluation pass, and it is not monitoring on its own.

What the leaders are saying

"In fintech, every agent action can end up in front of a regulator, so it has to be provable from the start," said Apoorva Kumar, Founder and CEO of Disseqt AI. "Inside the teams at Infosys, we test each agent before release, monitor it in production, and hand over the evidence. That is how a firm ships agents that move money without taking on a risk it cannot defend."

The partnership reflects a clear change in regulated finance. Proof of testing and oversight is now the price of putting an agent anywhere near a transaction.

Bottom Line

When an agent moves money or makes a regulated call, a working demo means nothing. What counts is proof it was tested, proof it stayed inside policy, and proof of what it did. Infosys chose an assurance layer to get all three.

Disseqt operates from Bangalore, San Francisco, and Dublin, and works with fintech enterprises and their partners to ship agentic AI that survives scrutiny. Talk to our team about putting your agents into production with proof behind them.