Discovery
Start with incidents, toil, data, controls and business constraints—not a predetermined agent.
Deliver a reviewed readiness assessment and roadmap to one warm design partner without claiming unproven automation value.
Start with incidents, toil, data, controls and business constraints—not a predetermined agent.
Assess foundations, telemetry, runbooks, identity, safety, economics and operating ownership.
Rank use cases by value, evidence availability, action risk and implementation effort.
Offer assistive, approval-based and bounded automation options with explicit trade-offs.
Recommend a smallest safe experiment, success measures, stop criteria and responsible owners.
For every arrow, the engineer must name the data, identity, trust boundary, failure mode and evidence produced.
AI and documentation are allowed. The learner owns every generated artifact and must preserve the stated safety boundaries.
Symptom → impact → hypothesis → evidence → test → root cause → containment → correction → verification.
Compare no-agent process improvement, investigation copilot and approval-based agent for the client’s top use case.
Record the achieved L-level only from observed evidence. Course completion and certification do not automatically change the skill matrix.