800 TO 800,000: How A FinTech Survived Its Own Success

 

Imagine a fintech company that starts with about 800 customers.

At that stage, customer enquiries are manageable. The support team knows the product, and QA can review conversations, score agents and provide feedback.

Then the business takes off.

The customer base grows rapidly — eventually reaching 800,000 customers.

Enquiries increase. The support team expands. More conversations happen across more channels, involving more agents and increasingly complex customer issues.

The business has successfully created demand. Now it has to manage the volume that comes with it.

The Problem Isn’t Customer Service. It’s Visibility.

The fintech can still answer its customers.

The challenge is knowing how many of those conversations are actually being handled well.

At smaller volumes, manual QA sampling works. But as interactions multiply, reviewing enough conversations becomes increasingly difficult.

And when the same issue keeps appearing, it can become difficult to know whether the root cause is an agent, a process, training, compliance or the information agents are working with.

Simply adding more QA resources may not be enough.

The operation needs a different approach to quality. Where Agentic QA Comes In

This is where a solution such as Outcess’ Agentic QA could play a role.

Instead of relying solely on manually selected samples, Agentic QA can analyse interactions at scale across calls and emails, helping organisations identify patterns and recurring issues.

But the goal isn’t simply to say, “This interaction failed.”

It’s to ask:

What happened? Why did it happen? What needs to change? And did the change work?

AI handles the scale of analysis, while human QA experts can focus on critical errors, high-risk interactions and decisions that require judgement.

The result is a QA process that goes beyond scoring to support coaching, process improvement and continuous monitoring.

From QA to Continuous Improvement

When an issue is identified, the process doesn’t have to end with a score.

Teams can track whether the issue happens again, whether quality improves and whether corrective action actually makes a difference.

Because the fintech hasn’t failed at QA.

It has simply outgrown the way it used to do QA.

And when a business grows from 800 to 800,000 customers, its approach to quality needs to grow with it.

Your business is growing. Can your QA see — and help improve — everything growing with it?

Book a demo today to explore what Agentic QA could do for your operation.

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