Morgan Stanley Cut Its Riskiest Reconciliation Job in Half by Making Its AI Agents Less Autonomous
Morgan Stanley deployed an internal agentic system called FIXR into profit-and-loss reconciliation, one of banking's most accuracy-critical, deadline-driven workflows, and cut the manual work in half — not by giving the system more autonomy, but by deliberately limiting it. Human controllers stay tightly in the loop, and their judgment calls get converted into fixed, repeatable rules the system applies going forward rather than being left to model discretion.
Jun 30, 2026