Trust controls for commercial AI infrastructure.
OneAI is designed for teams that need to sell, monitor, and govern AI features. The system keeps provider access server-side, exposes request-level usage and cost, and separates intelligence from execution.
OneAI should not behave like a blind relay. Every production call should be explainable by requestId, provider, model, token usage, estimated cost, route policy, and customer/API key ownership.
Provider secrets stay server-side, customer keys are hashed, and production access should happen through customer backends.
Every commercial call is designed to expose requestId, provider, model, tokens, latency, cost, fallback, and ownership context.
OneAI coordinates intelligence and records operational metadata. External executors perform actions outside the OneAI boundary.
SLA, DPA, Privacy, invoices, terms, audit logs, and team permissions are documented for procurement review.
AI relay risks OneAI is built to reduce
The main customer concern is not only whether a model responds. It is whether routing, spend, data boundaries, and operational ownership are visible enough to trust in production.
| Risk | OneAI control |
|---|---|
| Hidden model routing | OneAI returns provider, model, requestId, usage, latency, fallback state, and estimated cost. |
| Cost drift | Plans, maxCostUsd, rate limits, monthly request limits, and usage dashboards keep spend visible. |
| Leaked keys | Customer API keys are created once, stored hashed, and can be revoked without exposing upstream provider secrets. |
| Unsafe execution | OneAI generates intelligence and plans. Execution belongs to OneClaw, bots, customer tools, or human operators. |
Trust commitments
These are the operational controls a customer should expect before running production AI traffic through a model gateway or Task Intelligence API.
Clear boundaries for customer data and provider routing.
Request input/output can be logged for debugging and support where enabled by product policy.
Customer data deletion can be handled by operator request while self-serve deletion controls are expanded.
OneAI does not position customer API traffic as training data for OneAI-owned models. Upstream provider handling depends on the provider selected and its terms.
Operational logs are retained for billing, abuse prevention, debugging, and customer support until a formal retention window is configured.
Execution Boundary
OneAI is the intelligent coordination brain. Execution remains intentionally outside OneAI so customers can preserve approval, accountability, and operational control.
| Boundary | Meaning |
|---|---|
| OneAI may do | Plan, route, generate structured intelligence, create handoff contracts, record approvals, store proof/result metadata, and expose audit trails. |
| OneAI will not do | Click buttons, log into customer tools, spend funds, post to social accounts, deploy code, move assets, or call external execution systems as the actor. |
| Executors do | OneClaw, OpenClaw, bots, customer agents, or humans perform external actions and call back with proof and results. |
| Operators verify | Admins review proof, failures, customer usage, cost, and audit events before trusting an execution as complete. |
Procurement-ready trust package.
Customers evaluating OneAI for production can review the service boundary, SLA overview, DPA overview, invoice path, terms, and privacy/data handling notes before moving into an enterprise contract.
Keep secrets server-side, pass requests through your backend, set idempotency keys for retries, and monitor usage daily before increasing customer limits.
- Separate prod and dev API keys
- Set monthly budgets and maxCostUsd
- Enable Stripe billing before paid traffic
- Review Usage for errors and cost spikes
- Health-check new providers before exposing them