As delinquencies rise and margins tighten, leading auto lenders use AI agents to cut collections and servicing costs without compromising performance.
In one of our tests, AI agents delivered 18% more payments in early-stage collections and reduced cost-to-repo by 13% by automating voluntary surrender and negotiation workflows.
Download this guide to learn where to deploy AI agents, which workflows to prioritize, and how to measure ROI.
- What AI agents really are (and aren’t)
- Understand how AI agents differ from scripts, bots, and BPO, and why they’re built for real borrower conversations at scale.
- The ROI equation: Lower costs, higher asset yields
- Learn how AI agents improve return on assets by reducing cost-to-collect, lifting recovery rates, and increasing business valuation through leaner operations.
- Tackling delinquency early – Before it escalates
- See how AI agents can engage borrowers within days of missed payments to prevent roll rates, reduce first-party workload, and improve payment outcomes.
- Automating the toughest repossession conversations
- Discover how leading lenders use AI agents to reduce repo costs by automating voluntary surrender scheduling and final payment negotiations.
- Your AI agents’ roadmap
- Follow a practical implementation path from selecting the right use cases to aligning data, compliance, and change management for long-term success.