The Reality of AI Reconciliations: What Actually Works at Scale, and How AutoNation Made it Happen

Enterprise finance teams know reconciliations are one of the most manual and time-consuming parts of the close. In this session, see how AutoNation achieved near 100% auto-match rates and processed 200K transactions monthly to reduce effort, improve visibility, and drive a faster, more controlled, and scalable close with AI-driven workflows.

See the Results. Take the Approach.

This is not a future-state vision. It is a real-world case study with a proven, repeatable approach.

What You’ll Learn

• How to move from reactive to proactive reconciliation workflows
• Best practices for achieving high-volume auto-match at scale
• How AI can be applied to real accounting processes—not just hype
• How to improve reporting, audit readiness, and data confidence
• What it takes to build a scalable foundation for AI in finance

Ready to see what near 100% reconciliation automation looks like in practice?

Join AutoNation and Trintech experts to learn what it takes to operationalize automation at scale and move from theory into execution.

Featured Speakers

Michele Hutchinson

SOX Manager, AutoNation

Nathan Stabenfeldt

Finance Transformation Partner, Trintech