Controlled AI agents for one defined workflow
We build tool-using agents with a narrow job, explicit permissions, and human approval before sensitive actions. The agent does the delegated work and a person signs off on the sensitive steps.
The audit checks the real workflow and tool access before we recommend a build. These are the conditions that usually make the first scope practical.
- The workflow requires decisions as well as fixed automation rules
- Several tools must be read or updated in sequence
- A person must approve external communication or important writes
- The team needs logs showing what the agent attempted and why it stopped
One path from the original input to a recorded outcome, with the exception route designed at the same time.
- 01
Write down one job
Define the trigger, desired outcome, available tools, prohibited actions, and responsible owner.
- 02
Limit the tools
Give the agent only the operations and data access required for that workflow.
- 03
Place approval gates
Hold external messages, irreversible actions, and agreed exceptions for a person to review.
- 04
Test real cases
Run normal, ambiguous, and failure cases before the client approves go-live.
Included in the handoff
- A narrow agent design with allowed and prohibited actions
- Tool connections and permissions for the agreed workflow
- Approval gates, run logs, monitoring, and fallback rules
- Test evidence and an operating guide for the workflow owner
How your team stays in control
- Permissions are scoped to the one workflow in scope.
- A person approves the actions identified as sensitive or high impact.
- Each run records the steps, tool calls, status, and stop point available from the selected stack.
- The agent follows a defined fallback when a tool fails or a case is outside scope.
The first call is used to verify the workflow, source material, integrations, approval points, and practical first scope.
What can the agent do without approval?
That is decided workflow by workflow. Reading approved information and preparing a draft may be automatic, while sending, deleting, paying, publishing, or changing important records can be held for review.
Can we restrict the agent's access?
Yes, where the connected tools support it. The design starts with the narrowest practical accounts, permissions, tools, and actions for the agreed job.
Can the agent be stopped?
The operating design identifies ownership, stop conditions, fallback behavior, and recovery steps. Exact controls depend on the tools and deployment architecture selected for the project.
How is it tested before launch?
We test representative successful cases, ambiguous inputs, missing information, denied permissions, and tool failures. Your team reviews real cases and approves go-live.