Workflow monitoring
Watch execution, dependencies and exceptions. Investigate failures and follow the agreed escalation path.
Ongoing operation for AI workflows already doing real work. A defined scope, an agreed operating rhythm and a clear path when something needs attention.
Explore the starting assessment ↓The agreement defines supported systems, coverage and response expectations.
Watch execution, dependencies and exceptions. Investigate failures and follow the agreed escalation path.
Evaluate answers or extracted data against agreed examples. Review changes when models or sources shift.
Test bounded changes before release. Record approvals, maintain rollback steps and keep a change history.
Review usage, permissions and provider dependencies against agreed operating boundaries.
A regular review of incidents, quality checks, changes and the next actions that need a decision.
The starting assessment establishes whether the workflow is supportable, what needs remediation and what ongoing care should cover.
Workflow purpose · dependencies · access · data sources · quality checks · failure handling · documentation
A supportability assessment, priority actions and a proposed operating scope. Assessment and recurring fees are agreed after scoping.
A walkthrough, a business owner, relevant documentation and agreed access to the systems being assessed. Access is limited to the scope of the engagement.
Yes, subject to assessment. Missing access, unsupported dependencies or major engineering gaps may need remediation before an operating agreement.
No. Operating controls can be informed by NIST’s AI risk guidance. Certifications and legal compliance attestations are separate matters.
Monitor supported workflows, review quality, handle incidents within agreed coverage and maintain bounded changes.
New applications, substantial integrations and major redesigns are separate engineering engagements.
You retain your accounts and data, approve consequential changes and own the business decisions the workflow supports.