From use case to production.
From use case to evals to production. Agent systems designed with the operational discipline they demand.
Engagement
By milestone, or monthly
Model coverage
Anthropic · OpenAI · Azure OpenAI
Gate
Training before access
What we run
Education and governance
A curriculum delivered live and in person, tuned to the room. Attendance is mandatory before access is granted, and the policy goes out with the controls that enforce it.
Education & Governance
AI policy authored with HR
DNS & proxy enforcement
Discovery and design
Use cases assessed for whether a model genuinely does the work better, then designed as systems rather than prompts.
Use-case discovery & ROI
Agent design & tool integration
Human-in-the-loop boundaries
Evaluation and observability
What gets shipped is what passed a gate. Cost and latency watched the way you would watch any production dependency.
Evaluation harness & guardrails
Cost & latency observability
Regression tracking as models move
A written AI policy is a document, and a document does not stop a browser tab. Policy writing has been commoditized: templates are free and law firms will sell you one. Enforcement has not been.
Related work
AI Governance · Operational Assurance
Shadow AI, closed at the network and at the desk
Policy authored with HR, DNS and proxy enforcement on the same schedule, one assistant sanctioned after testing.
Engagement intake