Financial services use case

Collections prioritization

The operating problem, the system we deploy, and the one metric it should move. Scoped as a specification, not a slogan.

The operating problem

Agents work a flat list, chasing accounts that would have cured on their own while high-risk ones roll further past due.

What we deploy

A prioritisation assistant that ranks the day's accounts by likelihood to cure and expected recovery and drafts a suggested contact approach for each.

  • Ranks accounts by likelihood to cure and recovery
  • Drafts a suggested contact approach for each
  • Shows the payment and contact history behind the rank
Outcome target
Target: 15 to 30% improvement in dollars recovered per agent hour.
Time to value
6 to 10 weeks to production
Metric we measure
Recovered balance per agent contact hour.

Where it goes nextExtend to pre-delinquency outreach that catches accounts before they roll past due.

Works with the systems you already have
Salesforce
Stripe
Snowflake
Power BI

Your data remains under your control.

How every use case is scoped

The same four questions, every time

Every use case is scoped around the operating problem, the system, the metric, and the time to value. Nothing ships without a number to move and a source it can cite. The first step is the deployment review, where we map the business process to your systems and agree the metric before building.

Next step

Put a number on this use case

Bring the process. We will define the problem, the metric, and the route to production.

See the deployment review

Start a conversation

Tell us what you want to explore, deploy, or teach. We reply within two business days.