Setup approval
You see the scope, access needs, approval rules, cost policy, dashboard metrics, and QA evidence before the Agent goes live.
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AI Team sells managed AI Agents, so buyers need clear paths for setup approval, failed setup, scope changes, underperformance review, cancellation, refunds, support, and data handoff.
You see the scope, access needs, approval rules, cost policy, dashboard metrics, and QA evidence before the Agent goes live.
If the required access, data quality, provider ownership, or safety controls cannot be confirmed, AI Team pauses setup instead of forcing a weak launch.
When the work expands into more systems, higher risk, higher volume, regulated data, or extra human coverage, AI Team confirms the new scope before changing price or operation.
When results are below the agreed operating target, AI Team reviews run evidence, exceptions, approval delays, access limits, provider failures, and scope fit before deciding the fix.
Billing outcomes depend on the signed terms, setup evidence, Stripe records, work already performed, provider usage, and whether AI Team could safely deliver the confirmed scope.
You have a defined path for support, export, deletion, connected-system cleanup, credential revocation, and billing closeout after service changes.
Decision paths
AI Team separates setup readiness, live operation, provider usage, and billing decisions so a problem in one area does not become an unclear dispute.
Review triggers
A managed Agent should not continue blindly when the evidence shows a scope, access, provider, cost, or quality problem.
Access, provider ownership, or required permissions cannot be verified.
The requested work requires approval rules, staffing, or provider budgets outside the selected price band.
The Agent is blocked by missing data, low-quality source records, vendor limits, or unresolved client decisions.
The buyer asks for legal, medical, financial-advice, regulated, spam, scraping, or platform-risk work outside approved scope.
Production output is delayed by client approvals, provider downtime, missing credentials, or pass-through spend limits.
Related policies
Use the service policy with the pricing, setup, billing, support, pass-through cost, trust, retention, and legal pages. Signed agreements control where they differ.
This page explains the AI Team operating posture for buyers. The applicable checkout, order form, invoice, terms, DPA, retention policy, and legal review control the final obligation when they differ.
FAQ
These answers help buyers understand what happens when the work does not fit the original setup path.
No. Payment starts or continues the commercial path, but go-live still requires scope confirmation, access review, approval rules, cost policy, deployment QA, and AI Team approval.
AI Team pauses, re-scopes, or rejects setup when required access, provider ownership, data, approval rules, or safety controls cannot be confirmed. Billing outcomes then follow the applicable agreement and setup evidence.
Yes, but not silently. If the work becomes higher risk, higher volume, more integrated, voice-first, regulated, or more human-supervised than the selected band supports, AI Team confirms a revised scope before go-live or renewal.
Refunds and credits are based on the applicable order form or terms, setup progress, live work delivered, third-party provider usage, cancellation timing, and whether AI Team could safely deliver the confirmed scope.
Use the support path with the Agent name, expected outcome, examples, date range, and any approval or provider issues. AI Team reviews evidence before deciding whether to tune, re-scope, pause, credit, or cancel.