Agentic AI is moving from demos to operations
Agentic AI—systems that can plan and take actions—changes the nature of risk.
It’s not “another model”. It’s closer to an operator with credentials.
In the UK context, regulator attention is increasingly focused on how AI is used in practice, and how organisations manage risk and accountability.
Shipping agentic AI safely
1) Decide what the agent is allowed to do
Start with a permissions matrix:
- read-only - suggest actions - take low-risk actions automatically - take high-impact actions only with approval
2) Make policy checks explicit
Good systems don’t rely on “the model will probably behave”. They use deterministic checks:
- allowed actions - allowed targets - allowed data - required approvals
3) Auditability is a feature
You want to answer:
- what did it do? - what data did it use? - what rule allowed it?
How PG Technologies helps
We help teams build AI products that are usable, measurable and governable:
- product + data discovery - secure architecture - evaluation and monitoring - deployment and cost control
Sources
- Bird & Bird: UK sector-led AI regulation context and regulator activity: https://www.twobirds.com/en/insights/2026/uk/ai-regulation-in-the-uk-the-role-of-the-regulators
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