Related Posts about : ai-governance

Only 11 percent of financial firms report measurable ROI from AI. In 2026 the binding constraint is not model quality. It is the governed data foundation underneath the model. The 2025 AI experiments were necessary. Most of them did not move a balance sheet. Boards funded generative and agentic pilots on the promise of transformation […]

More than 80 percent of AI initiatives collapse, and it is almost never the model that fails. It is the governance around it. The number that should concern a financial services board is not an adoption statistic. More than 80 percent of AI initiatives collapse, a failure rate nearly double that of traditional IT projects, […]

Financial institutions are not failing at AI because their models are weak. They are failing because nobody owns the decisions those models now make. The budget was approved. The pilot worked. The board saw the demonstration and asked when it would reach customers. Then the value disappeared somewhere between proof of concept and production, and […]

Telecom’s AI problem is no longer the model. It is everything that happens after the demo works. Telecom leadership teams have spent four years proving that AI works. The proofs succeeded. Very little of the operating model changed. Boards approved budgets, innovation teams shipped impressive demonstrations, and the contact centre, the network operations centre and […]