Production AI workloads
Agents, models, workflows, tools, data and infrastructure dependencies.
Production Assurance Baseline
Establish the operating contract for your production AI estate.
A bounded first engagement that maps workloads, owners, authority, controls, failure modes, evidence gaps and candidate automated remediations.
What we map
The baseline converts an AI estate into an accountable operating model.
Human owners and sponsors
Who owns each system, decision and operating consequence.
Authority boundaries
Which actions may be observed, proposed, approved or executed.
Operational failure modes
Reliability, release, cost, logging, authority and evidence risks.
Evidence gaps
What decisions and actions cannot currently be reconstructed.
Candidate remediations
Which exceptions are safe to automate and which require judgment.
Customer deliverables
A concrete baseline pack—not a generic maturity score.
AI workload and responsibility inventory
What exists, where it runs and who owns it.
Authority map
What each human and AI participant may do.
Guild charter
Mandate, sponsor, roles and decision rights.
Initial SLO model
Response, escalation and closure expectations.
Exception register
Prioritized operational and control gaps.
Evidence baseline
What can currently be proved.
90-day operating plan
Path into managed Production Assurance.
Start the baseline
Tell us what is already in production.
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