AI Champion
Most AI programmes fail on ownership, not technology. The AI Champion is one senior OpsHero engineer, embedded in your team, whose entire remit is finding AI leverage and shipping it.
What the Champion owns
Shadow the delivery lifecycle, measure the toil, and rank workflows by payback rather than novelty.
Pair on the first agents so capability transfers instead of leaving with the consultant.
Evals, approval gates, data boundaries, spend caps and an escalation path that a human owns.
Baseline before, numbers after. Monthly reporting your board can read without translation.
Internal enablement — reviews, patterns, prompt and skill libraries the whole team can use.
Handover is the deliverable. Runbooks, skills and a named internal owner before we step back.
A quarter, in four moves
No discovery phase that eats the budget. Something is in production before week twelve.
Interviews, telemetry review, cost baseline. We leave with a ranked list and a number to beat.
Gateway, tracing, secrets, spend limits and eval scaffolding — as code, in your cloud.
Two or three agents against the top-ranked workflows, released behind approval gates.
Named internal owner, skills library, documented runbooks, measured results.