The word “agent” is everywhere, and often drained of its meaning. Behind the term, however, lies a concrete difference from the chatbot everyone has already tried, and it is this difference that changes the game for your teams.
Chatbot or agent: the real difference
A chatbot answers a question. An agent carries out a task from start to finish: it consults your documents, applies your rules, chains together several steps and produces a deliverable. Where the chatbot informs, the agent does, under your supervision.
What a well-designed agent takes on
- Reading, sorting and summarising large volumes of documents.
- Preparing a file (KYC, general meetings, reporting) by gathering the right documents.
- Drafting a first version (letter, summary, minutes) for review.
- Monitoring deadlines and triggering follow-ups.
- Extracting data and entering it into your tools.
Its limits, and why that is good news
An agent has no business judgement, no legal responsibility, no intuition for the client relationship. It does not decide: it prepares. It is precisely this division of roles that makes it useful and safe: the AI absorbs the repetitive work, while your teams keep the judgement calls and the added value.
A good agent replaces no one: it gives everyone back the time the machine knows how to spend better.
The condition for success: governance
For an agent to be adopted, clear rules are needed: what it is allowed to do, which data it can access, the traceability of its actions and the point of human validation. It is this governance, as much as the technology, that separates a gimmick from a production tool.