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Predictive early-warning and personalised collections agent

Go TymeX · Posted 2 months ago

Banking and financePredictive Analytics / ForecastingRobotic Process Automation (RPA)
Budget
To be determined
Timeline
Not specified
Closed on
31 Jul 2026, 16:59 ICT

Problem statement

Collections is largely reactive, with standard dunning after missed payments instead of early risk detection and outreach tailored to the borrower's situation.

Expected outcomes and success metrics

- Identify at least 60% of accounts that will miss a payment 7-14 days ahead of due date. - Increase cure rate against a control group. - Reduce cost-to-collect by replacing blanket outreach with targeted recommendations. --- *Track: Financial Services II | Sponsor: Go TymeX | Slug: predictive-collections-agent | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*

Current process

Collections is largely reactive, with standard dunning after missed payments instead of early risk detection and tailored outreach.

Relevant AI technologies

Predictive Analytics / ForecastingRobotic Process Automation (RPA)