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Most AI rollouts fail at adoption, not engineering. We make sure your operators can run, refine, and red-team the system after we leave — without becoming AI engineers themselves.
Analysts, ops leads, and managers each get a different curriculum. Hands-on, tool-specific, with their actual data — not generic 'prompt engineering 101.'
We identify and certify a champion in each line of business. They run the office hours, the red-team practice, and the new-use-case intake after we leave.
Update the operating model — who tunes prompts, who approves model swaps, when an issue escalates to the platform team. Documented, signed, and versioned.
Front-line analyst training, compliance officer red-team practice, and operations-floor change management for agent-assist tools.
Compliance officers will be louder than the floor staff. We get them in the curriculum first, not last.
Production-grade agents and workflows on your stack — harness, orchestration, tools, MCP, and evals.
Threat modelling, data-loss prevention, model risk, and audit trails for LLM and agent-based systems.
A paid, fixed-fee assessment that scopes the problem and sizes the payback before anyone commits to a build.