Action permissions
Limit the systems and tasks the agent can access.
MS LICENSE / AI Agent
Give your AI agent boundaries, not just a prompt.
Define allowed actions, input data and approval checkpoints. A useful agent design includes a way to observe, test and stop its actions.
Start with what matters.
Evaluation
Test representative tasks and failure cases before rollout.
Operational control
Define logs, ownership and a stop or rollback process.
Plan for the way you will use it.
Define a bounded first task
Choose one repeatable task for AI Agent. Record its inputs, expected output and the person who decides whether the result is acceptable.
Control the connected systems
List the applications and data sources involved. Use only the access needed for the agreed task, and require human approval before consequential actions.
Measure and review the pilot
Compare the output with examples your team has checked. Track errors and time saved, then agree whether to expand, revise or stop the pilot.
Bring your requirements.
Tell us about tasks, api access requirements, data sensitivity and approval steps.
BEFORE YOU CHOOSE
A few useful answers.
What information should I prepare?
Tasks, API access requirements, data sensitivity and approval steps.
What will the quotation include?
The selected products, confirmed availability, licence terms and agreed delivery or management scope. Taxes and optional services must be identified before purchase.
LET’S PLAN YOUR SETUPA clear requirement.
Start a conversation ↗A clear requirement.
A useful quotation.
Confirm the products, responsibilities and terms before you proceed.