AI Control · Practical guide
Choose where AI acts and where your team takes over
Set knowledge, action and review boundaries for publishing and customer work.
Begin with the decision, not the autonomy label
“Autonomous” does not tell a team enough about an AI workflow. Ask what the agent is allowed to decide, which action follows that decision and what happens if it is wrong. These questions lead to clearer instructions and more useful review requirements.
For a publishing workflow, generating a draft and authorizing a public post have different consequences. For support, explaining a documented process and changing an account are different actions. For internal marketing, preparing a brief and making a promise to a prospect belong to different audiences.
Configure these boundaries per workflow. Echo’s shared AI foundation supports agent instructions, knowledge context and permitted tools; the actual available controls depend on the agent and integration.
Set the knowledge boundary
Define which sources the agent should use and who maintains them. Approved product information should have an owner who can update it when a feature, offer or process changes.
A public website agent should not rely on private campaign notes as if they were approved customer copy. An internal agent may need staff context, but that does not make the context suitable for an external response.
- Identify the audience for each knowledge source.
- Assign an owner for accuracy and updates.
- Tell the agent what to do when information is missing.
- Test conflicting or outdated material before launch.
Asking for clarification or routing a request can be the correct outcome. An agent should not invent a fact just to finish a sentence.
Define permitted actions
List the actions the workflow needs and grant only the relevant tools and permissions. Then identify the actions that need approval under your policy.
| Workflow | AI can prepare | Review decision |
|---|---|---|
| Publishing | A draft from an approved brief. | Whether it meets the standard for publication. |
| Support | A knowledge-based explanation and next step. | Whether a sensitive or unavailable action needs staff. |
| Internal marketing | A campaign brief or content outline. | Whether claims and deliverables are ready for external use. |
These examples are configuration guidance, not a claim that every agent has identical tools. Check what is actually enabled in the workspace.
Make escalation specific
“Ask a human if needed” leaves too much unclear. Define the trigger, the receiving team and the context that should travel with the request. Include a visitor-facing state when the workflow is external.
Triggers can include missing approved information, an action outside the permitted scope or a request that your policy requires a person to review. Avoid promising a universal numerical confidence threshold unless your actual configuration supports it.
For website conversations, distinguish a queued Ticket from live staff takeover. For publishing, distinguish a returned draft from an approved one. For internal tasks, keep the discussion in the private team workflow.
Evaluate and expand deliberately
Build a small evaluation set from realistic questions and tasks. Include incomplete requests, incorrect assumptions, unavailable information and an attempted action outside the agent’s scope. Use synthetic examples that do not expose customer information.
- Check that the answer uses the intended knowledge.
- Verify that permitted actions follow the right authorization and review path.
- Confirm escalation reaches the intended workflow with context.
- Test unavailable staff and connection failures.
- Inspect the final result before increasing autonomy.
Measure useful outcomes separately: a generated draft, an approved publication, a created Ticket and a first successful workflow are different milestones. Do not turn an intermediate event into a claimed customer outcome.
Explore the Echo AI platform, apply the publishing guide, or plan a website-agent handoff.