The Reconciliation Lie: Why Most ‘AI Reconciliation’ Still Dumps Work on Your Team
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Finance teams bought into the promise of AI-powered reconciliation expecting real productivity gains. Instead, most still face substantial manual work every close. Most platforms automate the easy matches, then pass…
Finance teams bought into the promise of AI-powered reconciliation expecting real productivity gains. Instead, most still face substantial manual work every close. Most platforms automate the easy matches, then pass everything else back to your team. That impressive “70% automation rate”? It’s just matching. The remaining 30%... exceptions, reversals, timing differences, multi-line matches, cross-system discrepancies, where your team spends most of their time each month. And those still require manual Excel work within most tools. This session exposes the difference between marketed capabilities and operational reality. and shows you, live, how autonomous completion actually works. We'll cover:
How to measure automation rates - what percentage of your reconciliations close without manual intervention versus what percentage show matched transactions but require extra work to close.
The technical differences between platforms - what matching engines can and can't do, and what capabilities are required to handle exceptions, reversals, and complex scenarios without passing them back to your team.
Questions to ask during platform evaluations - how to assess whether a vendor's "automation rate" reflects matching or completion, and what that means for your actual workload.
What's required for autonomous completion - the specific capabilities that enable platforms to close reconciliations end-to-end, including the exceptions and adjustments most tools can't handle.
What autonomous completion looks like (Live Demo) - We’ll show how full-cycle reconciliation works in practice, including the complex scenarios most tools hand back to your team.
Bonus: Ask the Expert + Free Buyer’s Guide You’ll get:
Live Q&A with our Director of Product - ask anything about architecture, automation models, or your own close process.
A copy of our guide: “Decorative AI vs Autonomous AI: The Reconciliation Buyer’s Guide”, a framework for evaluating your platform's automation capabilities and calculating the impact on your close.