Question
What does a business actually buy from AI Team?
You buy a managed AI Agent for a defined repeat workflow. The useful result is less chasing, sorting, drafting, checking, updating, and reporting for your team.
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Use this page to check what AI Team handles, what clients still control, what costs can pass through, and what must be approved before an Agent goes live.
Decision shortcuts
Each answer points back to the same operating model: defined workflow, confirmed access, clear approval rules, visible proof, controlled provider costs, and supervised operation.
FAQ
Decide whether an Agent fits the work you want removed before you share access.
Question
You buy a managed AI Agent for a defined repeat workflow. The useful result is less chasing, sorting, drafting, checking, updating, and reporting for your team.
Question
AI Team is closer to a managed service. You do not have to run the Agent OS yourself; AI Team handles setup review, access review, QA, supervision, and exception handling around the approved workflow.
Question
Start with work that repeats often, has clear inputs, has clear approval rules, and already costs staff time. Lead response, follow-up, document collection, support triage, CRM hygiene, and reporting are strong first candidates.
Question
Sometimes. The public catalog is the default starting point. Work outside it needs scope review, access review, risk review, pricing review, approval rules, and deployment QA before AI Team accepts it.
FAQ
Avoid surprise bills by checking what is included, what passes through, and what needs approval.
Question
Simple internal workflows cost less to operate than customer-facing, finance-impacting, regulated, high-volume, or provider-heavy workflows. The pricing bands keep routine work affordable without hiding complex work inside the same fee.
Question
Usually no. Paid provider usage such as voice, enrichment, scraping, SEO data, ads data, messaging, or storage is approved separately and passed through when it is needed for the Agent outcome.
Question
Client-owned accounts are preferred where practical because the client keeps ownership, billing visibility, revocation control, and provider relationship control. AI Team-managed keys are used only where the service needs controlled model or operating infrastructure.
Question
The Agent pauses or escalates before provider spend crosses the approved cap. AI Team should not continue paid usage without the buyer approving the higher cost or a changed scope.
FAQ
Know what AI Team needs before an Agent touches live work.
Question
AI Team reviews the workflow, required systems, access owner, approval rules, expected outcome, data sensitivity, pass-through costs, exception triggers, and dashboard metrics before deployment.
Question
No. Live work waits until setup, access review, scope confirmation, approval rules, pass-through cost controls, deployment QA, and Agent Engineer-Operator approval are complete.
Question
No. Public forms are for non-secret context only. Passwords, API keys, OAuth tokens, private records, regulated records, and customer exports must stay out of public forms and email.
Question
AI Team asks for missing context, narrows the scope, recommends a better-fit Agent, moves the request to custom review, or rejects the request if safe delivery is not practical.
FAQ
Check how AI Team reduces the risk of uncontrolled Agent work.
Question
No. Sensitive, irreversible, external, financial, account-changing, or policy-sensitive actions need explicit approval rules. The Agent must stop or escalate when the rule says a human decides.
Question
Clients should see completed work, approvals, exceptions, usage, outcomes, and reports. Client-facing proof should avoid exposing prompts, secrets, raw private records, or irrelevant internal logs.
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Agent Engineer-Operators supervise setup, QA, exception handling, cost warnings, incidents, scope changes, and quality problems. Internal AI Agents can assist the operating team, but humans remain accountable for production judgment.
Question
AI Team should reject work involving spam, hidden credentials, unsafe scraping, platform abuse, unclear authorization, illegal activity, unsupported regulated advice, or broad unsupervised decision-making.
FAQ
Know where problems go after an Agent is live.
Question
Send the Agent name, expected outcome, date range, request ID if available, non-secret examples, approval or provider context, and the business effect. Do not send credentials or private records.
Question
AI Team reviews evidence, checks scope and inputs, inspects access or provider issues, tunes the workflow when appropriate, re-scopes if the work changed, or pauses work when safe delivery is not possible.
Question
Yes, but commercial outcomes depend on the signed agreement, setup evidence, billing state, provider usage, work already performed, cancellation terms, and whether AI Team could safely deliver the confirmed scope.
Question
Use the public status page for confirmed buyer-visible service issues. Use support for Agent-specific output, access, setup, billing, provider-cost, retention, and handoff questions.
Next step
A useful setup request names the work to remove, the systems involved, the outcome expected, the approval owner, and the cost boundaries.