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Morgan Stanley Cut P&L Reconciliation Work in Half Using AI — By Keeping Humans in Control
VentureBeat·Friday, 3 July 2026

Morgan Stanley deployed AI agents in its profit and loss reconciliation process — one of banking's most high-stakes workflows — and reduced the workload by half. The counterintuitive finding: the system worked better when it was made less autonomous, not more. Humans stayed closely involved, and their decisions were turned into repeatable rules for the system.
Why It Matters
This is one of the most concrete real-world examples of AI delivering results in a critical financial process. It challenges the assumption that more AI autonomy always means better outcomes.
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