AI can interpret documents, coordinate work, and recommend actions. It should not quietly become the authority for customer status, eligibility, prices, inventory, clinical records, reservations, or transactions.
Those facts must remain in governed systems of record.
Retrieval-augmented generation does not change that rule. Retrieval quality depends on source ownership, freshness, versioning, permissions, and how conflicting records are resolved—not only on vector search.
Document the system responsible for each critical fact and business state. Convenience should not decide authority.
Give AI access through approved APIs, events, or adapters. Contracts should define inputs, outputs, authorization, idempotency, errors, versioning, and rate limits. Avoid direct database access for agents.
The agent needs its own workload identity, but it must also preserve the user or service context under which the action was requested. The system should enforce both what the agent can do and what the initiating principal is allowed to do.
A successful tool call does not prove that the workflow finished correctly. Confirm that the intended record, payment, reservation, or case state was created and reconciled.
Consider a banking onboarding workflow. AI may extract evidence and prepare a case. The customer system remains authoritative; controlled services apply eligibility rules; a person retains approval; and the audit record links evidence, identity, policy, and outcome.
This architecture does not make AI less useful. It allows the business to change models without moving its source of truth or bypassing established controls.
Cayru helps teams map authoritative data, create governed integration boundaries, and connect AI applications to existing systems without expanding access unnecessarily.
Review the data and API boundaries for one production AI workflow.