Solutions
AI Agents
An agent workflow needs clear permission for every action it may take.

A workflow across the whole team
We discuss a bounded task, available tools and approval points, keeping a visible action history and a way for a person to stop or correct the work.
Parts of the proposed journey
- Multi-step task execution & orchestration
- Tool & API access with permission controls
- Workflow automation across systems
- Human-in-the-loop approval checkpoints
- Monitoring, logging & audit trails
In practice
AI Agents: a practical example
Choose a bounded task with explicit permissions and a review point. Test a failed dependency and an instruction outside the approved scope. Agree what the agent may do, when it must stop and how its actions are recorded.
An illustrative scenario to discuss when planning your project.