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.
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*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)