AI agents
Agents that work. Not demos.
A useful agent runs tasks end to end in your systems, under supervision: we design, evaluate and ship them — with the guardrails that come with.
Governed by design
What makes an agent trustworthy
Trust comes from engineering, not from promises.
Explicit action scope
Each agent has a closed list of allowed actions, caps and reachable systems — everything else is denied by default.
Human supervision
Actions that commit the organisation — payment, external send, contract change — wait for a human approval in the workflow.
Full logging
Every decision, every tool call and every piece of data read is traced: an audit can reconstruct the agent's full reasoning.
Stop & reversibility
An agent pauses in one gesture, and its critical actions are designed to be reversible — that is where trust comes from.
FAQ
Frequently asked
What's the difference between a chatbot and an AI agent?
A chatbot answers questions; an agent runs tasks: it plans, acts in your systems through secure connectors, checks its result and reports back. The difference is in the engineering — action scopes, supervision, logging — far more than in the model used.
Do we have to choose between GPT agents and Claude agents?
No. The right choice depends on the task: we evaluate both model families on your real cases and keep the best performer — or a hybrid architecture that combines them. Hunter BI partners with both networks; the recommendation stays guided by your measurements.
How do you stop an agent from making a costly mistake?
With technical guardrails, not instructions: a closed list of allowed actions, caps, mandatory human approval for operations that commit the organisation, full logging and an immediate stop procedure. The agent is tested against failure scenarios before any production.
How long to get an agent into production?
Count ten to fourteen weeks for a first agent: workflow scoping, connector development, a pilot evaluated on historical cases, then hardening and production. Later agents go faster — connectors and guardrails are reused.
Put a governed agent to work?
Explicit scope, human approval, full logging: let's frame an agent that earns your trust — from pilot to production.