The next evolution of Enterprise AI: From governance frameworks to runtime accountability
By Prem Brahmandam, The Hartford India Leadership Team
Artificial intelligence has moved past the stage of isolated pilots. In large enterprises, it is now becoming part of the operating core. Across insurance, banking, healthcare and financial services, AI is influencing decisions in underwriting, claims, pricing, fraud detection, customer service, risk assessment and operational workflows.
This shift is creating a new question for regulated industries. It is no longer enough to ask whether an AI model has been approved, reviewed or documented. Enterprises now have to ask whether they can explain what happened when AI was involved in a live decision.
For the last several years, enterprise AI maturity has been closely associated with governance frameworks. Organisations have created policy standards, ethical review boards, model validation processes, risk committees, compliance checkpoints and audit protocols. These measures remain important. They give enterprises structure, control and a clear way to align AI adoption...
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