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Bringing in the next surface without the heavy transition shell.
Track brief
Build citation-first copilots and process-aware AI assistance that can be evaluated, corrected, and trusted in operational settings.
The emphasis stays on source architecture, measurable evaluation, and human review loops so the system behaves like an operator tool, not a novelty feature.
Cadence
Eval studio + prompt instrumentation
Delivery
Source mapping + evaluation boards + operator policy reviews
Tuition
$560 / cohort seat
What you leave with
Tailored next route
Use the case page when you want to see how the academy logic lands in a real citation-first operator system.
Weekly runway
The module structure is built around visible artifacts and critique checkpoints so the course feels like a production system, not a private notebook.
Module 01
Choose the process where AI can safely accelerate triage, summaries, retrieval, or drafting without pretending to replace judgment.
Module 02
Wire the sources, citation logic, and evaluation metrics that make the system auditable.
Module 03
Define adoption rules, escalation paths, and ROI-by-process views so the system lands cleanly.
Review rhythm
Source architecture review
Evaluation studio
Adoption handoff review
Course materials
A guide for translating the course work into public surfaces, proof blocks, and support logic.
The review process revolves around visible documents, diagrams, and decision logs instead of passive videos.
Tailored handoff
This page avoids the same generic academy CTA. The right handoff depends on whether the team wants to inspect proof, scope a build, or move into a more hands-on delivery lane.