Data and AIAgentic AI in regulated industries: what is working in 2026
Where autonomous agents are already safe to deploy, and the controls that make them so.
Point of view · Data and AISample
Disruption recovery is a data problem
Why faster recovery depends on shared, current data more than on new tools.
Key points
- Recovery is slow when teams work from different versions of the truth.
- Shared, current data matters more than new tools.
- AI helps most once the data foundations are in place.
The real bottleneck
When schedules break, teams spend much of their time checking what is actually happening. One shared, current view removes that delay.
Where AI fits
With reliable data in place, AI can propose recovery options quickly, leaving people to choose and approve the best one.
Related insights
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GovernanceA programme governance plan your auditors will accept
How to set up plans, reviews and records that hold up under a process appraisal.
EngineeringModernising core systems one piece at a time
A staged approach that reduces risk and shows value early.
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