Morgan Stanley cuts P&L reconciliation job in half by making agents less autonomous — AI governance lessons

Context

Morgan Stanley has successfully reduced its profit and loss (P&L) reconciliation job by half using a novel AI approach. By making its agents less autonomous and keeping humans in the loop, the bank has achieved significant efficiency gains and improved accuracy. This approach offers valuable lessons for marketers and business leaders looking to implement AI in their organizations.