Audit = Map + Define Controls
Identify the workflow, approval and control points, risks, telemetry needs, and first build decision.
Services
Verified AI operations services for teams moving beyond experiments.
Start with a workflow audit, build one controlled MVP, verify outcomes with a scorecard, and keep improving through AgentOps.
Audit
Verified AI Operations Audit
For teams that need to know where AI belongs, what it can safely do, and what to build first.
Sprint
Controlled AI MVP Sprint
For teams ready to implement one high-value workflow with approvals, logging, and exception handling.
Scorecard
AI Operations Scorecard
For teams that need evidence, KPIs, evaluation rubrics, and a review cadence.
Operate
AgentOps Retainer
For teams that need monitoring, tuning, workflow expansion, and incident review.
Method mapping
How the services map to the Verdify Method.
The service ladder follows Map / Define Controls / Build / Verify / Operate without introducing a second method.
Sprint = Build
Implement one controlled AI workflow path with human approval, logging, exception handling, and acceptance criteria.
Scorecard = Verify
Define evidence, metrics, review cadence, and the expand / tune / hold / stop gate.
Operate = Operate
Monitor, tune, review incidents, update known limits, and expand only when evidence supports it.
Every engagement
Verified AI needs controls and proof built in.
Workflow mapping
Risk and control review
Allowed / prohibited action matrix
Human approval design
System-of-record review
Telemetry and logging plan
Evaluation rubric
Operational scorecard
Scoping
Services are scoped around a real operating workflow.
Verdify uses the workflow to size the engagement: a support queue, quality review process, claims workflow, field-service exception, or telemetry stream gives the audit, sprint, scorecard, or AgentOps work something concrete to improve.