Compliance first, then speed: How a Financial Services firm scaled with AI agents

The challenge

Growth was outpacing the contact center

On payment due dates, the phones don't stop. Did my payment go through? Why did it fail? Can I change the bank account on file? At one fast-growing U.S. company, every one of those calls went to an outsourced human agent.

As the customer base grew, that setup created real friction. Customers didn't always get a consistent experience. Human agents needed extended ramp-up time to learn complex financial products and regulations. Every new account added cost and complexity to an operation the team had already worked hard to optimize.

The team's guiding metric was active accounts per staff member. Automating part of the call volume was key to moving it, and that meant finding a partner that could work within a heavily regulated industry.

"As we scaled, we needed higher containment. We looked at AI agents as the way to handle our high-volume conversations more effectively." – Customer Operations Leader, Financial Services company

The turning point

Understand every call before automating it

Before working with Replicant, the team could only estimate what share of calls were about payments or balance checks, based on notes in their customer relationship management (CRM) system. With Replicant's Conversation Intelligence, they could understand why customers were contacting them. For example: A broad category like "Payments" was now broken down into specific call reasons: a failed payment, a new payment method, a change to the bank account on file, or a quick check on whether a payment had posted.

The same data surfaced gaps the lender didn't know existed. High call volume about one card feature traced back to missing information on the lender's app and website. Once the team closed that gap, calls on the topic dropped.

"With Conversation Intelligence, we have clear visibility into why people are calling us, down to more detailed layers, and what to do next." – Customer Operations Leader, Financial Services

The difference

Predictability made speed possible

In financial services, a wrong automated answer can become a compliance problem. The lender operates under federal rules on electronic payments and customer calls, so the team chose a deterministic design for its AI agent, with tightly scoped flows and careful testing.

That restraint is what let the lender move quickly. With predictable behavior on every call, the team launched multiple workflows with confidence and kept tuning them to resolve more calls automatically.

The solution

A roadmap built on real call data

Using its new insights, the lender built an automation roadmap for account servicing with Replicant's Conversation Automation. The AI agent was designed around three core principles:

• Always-on availability so customers can get answers whenever they call.
• Instant scalability to absorb demand spikes around payment due dates.
• Consistent, compliant communication on every interaction.

The results

A leaner operation and a clearer picture

Within six months of launch, the lender saw improved efficiency, resolution, and customer satisfaction. Each improvement made the next one easier:

• Containment regularly exceeds 50%, meaning more than half of calls are handled without a transfer to a human agent, with higher rates on peak days.
• Resolution reaches nearly 50% on a typical day, counting calls fully and partially resolved.
• Active accounts per staff member rose more than 35% since launch.
• Customer satisfaction is above 4.5 out of 5, a measure the team didn't reliably have before.
• Peak call volume around payment due dates is absorbed by the AI agent as it scales.

The lender's foundational work will speed up the launch of new use cases, since the team won't need to start from scratch. Next, it is expanding into new channels and outbound use cases.

Their bigger shift is strategic: keep core expertise in-house and let AI absorb routine volume as the business scales.

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