Define managed AI support before launch

Name the supported service

Describe the deployed workflow, users, environments, and connected systems. Identify excluded experiments and customer-managed components. If the agency supports only the application, clarify who deals with a source-system outage or an expired customer credential. A broad promise of AI support can conceal substantial gaps when no one has defined where the supported service begins and ends.

Agree on incident handling

Define how staff report a problem and what information helps investigation without unnecessarily sharing sensitive records. Distinguish a blocked workflow from a cosmetic issue. Specify coverage hours, escalation contacts, and the meaning of any response commitment in the actual proposal. Tennessee and national teams should confirm time-zone expectations directly; a local address does not establish continuous coverage.

Plan maintenance around evidence

Ask how dependency changes, model configuration changes, and updated business rules are reviewed and tested. Preserve the relevant acceptance cases for regression checks. NIST’s secure development framework provides a reference for lifecycle discipline; our recommendation is to document the owner and release decision for each material change. Support should make maintenance understandable rather than allowing a series of unexplained adjustments to accumulate.

Reference: NIST: Secure Software Development Framework

Review the service periodically

Inspect incident patterns, unresolved work, and changes in usage or source quality. Decide whether repeated failures need a product change, employee training, or a revised operating process. Agentix offers managed AI support, with the actual coverage defined in the agreed scope. Keep an exit and handover path available so the organization can change support arrangements without abandoning pending cases or losing knowledge of its own system.

Reference: Agentix (publisher): Agentix services

Common questions