The important change is permission
A conventional assistant produces text for a person to review. An agent can connect to calendars, inboxes, code repositories or customer records and pursue a goal across those tools. The leap is less about eloquence than permission: the software can affect the world around it. That turns deployment into an operational decision. A British organisation must be able to explain what the system was allowed to do, which information it used and who was responsible when the result was wrong.
Privacy law still follows the data
The Information Commissioner’s Office has put agentic AI in its 2026 technology programme because autonomy complicates familiar data-protection duties. A chain of agents may collect information, infer new facts and pass context between services faster than a person can observe. Purpose limitation, data minimisation, security and oversight still apply. A useful first control is a permission map listing every tool, data class and action available to the agent. If a manager cannot understand that map quickly, the workflow is probably too broad.
Start with bounded work
Low-risk agents can organise public information, prepare research packs or propose actions inside a sandbox. Changing customer accounts, contacting people, accepting contracts or moving money needs stronger identity controls, value limits, logs and deliberate human approval. The best early metric is not the number of tasks touched. It is how often a narrowly defined task is completed correctly, how easily a reviewer can reconstruct the process and how quickly the organisation can stop it. Trustworthy autonomy should eventually feel like boring, observable infrastructure.
UK TECH TRENDIndependent analysis for the British technology market.
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