Use-case & risk mapping
Name the task, the user, expected benefit, failure modes, sensitive data, and the people accountable for decisions.
AI agent safety & support
Useful AI needs clear boundaries.
An agent is only as trustworthy as the tasks, tools, permissions, and review process around it. We help teams choose a bounded workflow and plan how to test, supervise, and support it.
THE WORK / IN THREE MOVESCB.01—03
01Define the allowed task
02Limit access and actions
03Test, observe, support
A clear owner at every step.
WHAT THIS WORK COVERS
Start with control before autonomy.
The right first deliverable is often a use-case map and pilot plan, not an agent with broad access to customer systems.
Permissions & approvals
Specify the tools an agent may use, what it may read or change, and which actions require human approval.
Testing & evidence
Test ordinary and adversarial cases, review outputs and tool calls, and keep enough history to investigate a problem.
Support & recovery
Plan monitoring, escalation, pause controls, incident response, and how a person takes over when needed.
HOW WE START
From the real need to a reviewable next step.
Assess
Review one workflow, existing tools, data, and the consequences of a wrong action.
Design
Write a bounded pilot plan with controls, approval points, tests, and success criteria.
Pilot & review
Validate in a controlled setting and decide what support and operating capacity production would require.
Pilot and production implementation are scoped case by case, with responsibilities and operating controls agreed before release.
Reference points: NIST AI Risk Management Framework · OWASP Agent Control Standard
LET’S MAKE THE NEXT MOVE CLEAR
Tell us what you are trying to change.
We will use your context to recommend a practical starting scope.
Discuss an AI workflow