Business outcome and scope
You define the result the Agent should deliver, the work it may touch, and the work that must stay with humans.
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AI Team sells packaged Agents, but your deployment still needs the right systems, policies, cost limits, risk boundaries, and approval rules.
Choose the repeat task that is slowing the team down or letting opportunities slip.
Share the outcome, boundaries, systems, approvals, and escalation contacts before anything goes live.
Confirm the right accounts, permissions, provider costs, and spending limits before the Agent touches client systems.
Know exactly what the Agent will handle, what it will not handle, and when a human must step in.
Catch bad inputs, missing access, risky approvals, and reporting gaps before the Agent reaches customers or staff.
The Agent handles the approved work while AI Team tracks results, checks quality, and escalates exceptions.
Setup inputs
AI Team needs enough context to configure the Agent correctly, but public setup never asks you to paste secrets into a generic form.
You define the result the Agent should deliver, the work it may touch, and the work that must stay with humans.
You avoid unsafe access by confirming OAuth, API keys, service accounts, user roles, revocation paths, and paid account ownership before connection.
You decide what the Agent may do automatically, what needs approval, and when it must pause or escalate.
You get test evidence for representative cases, failure states, spend limits, approval paths, and rollback expectations before go-live.
Go-live gate
Scope, credentials, third-party cost responsibility, warning thresholds, stop rules, approval policy, exception policy, dashboard metrics, and QA evidence must be complete before activation.
Pause rules
AI Team should pause or re-scope when the work is unclear. That protects your systems, customer trust, budget, and service reliability.
Required access is missing or nobody clearly owns the permission decision.
Paid provider usage is not approved or spend caps are missing.
The request has drifted into regulated, legal, medical, financial-advice, or high-risk decisions.
No clear human approver owns customer-facing or irreversible actions.
Test data, dashboard metrics, or rollback expectations are not reliable enough.
Next steps
You should understand pricing, API-cost responsibility, human supervision, and security before any credentials are connected.
FAQ
These rules let you start buying without exposing secrets or letting an Agent run without control.
No. Every Agent must pass setup, access review, scope confirmation, approval rules, pass-through cost confirmation, deployment QA, and go-live approval before production use.
No. Public forms should not collect secrets. Credentials, API keys, OAuth tokens, private records, and regulated records are handled only during controlled access review after scope and provider ownership are confirmed.
The Agent remains in setup, uses a reduced scope, or is paused until access, permissions, and ownership are resolved. It should not operate by guessing around missing systems.
The client confirms scope, approval policy, cost policy, and business rules. AI Team confirms build quality, QA evidence, dashboard metrics, and operator readiness.