Step 1
Set up the pilot workspace
LaMancha provisions the company workspace, invites program leads, and defines starter roles for the team.
A practical loop for learning, coaching, and proving AI adoption.
LaMancha is built around evidence. Participants learn by building useful, sanitized artifacts; program leads review and coach; leaders get visible progress and reusable rollout assets.
Step 2
Participants build useful AI habits
Learners complete practical modules, connect lessons to their role, and submit sanitized artifacts instead of just clicking through content.
Step 3
Admins coach and approve
Program leads review submissions, give feedback, approve completion, and watch adoption patterns emerge across the team.
Step 4
The company keeps the assets
Role profiles, workflow briefs, policy-readiness notes, approved examples, and certificates become reusable rollout evidence.
What companies keep
The output is the point.
A pilot should leave behind more than attendance. It should produce artifacts leaders can inspect, coach, reuse, and turn into a safer AI operating model.
Role/persona catalog
Capture how people actually work so AI support starts with useful context instead of generic prompts.
Workflow briefs
Turn recurring work into safe AI-assisted workflows with boundaries, review gates, and reusable instructions.
Approved artifacts
Participants submit prompt/output evidence, drafts, checklists, plans, or briefs that admins can approve or coach.
Policy readiness
Surface the decisions leaders need: allowed use cases, restricted data, review expectations, and rollout norms.
Completion records
Track progress, review status, feedback, and certificates of completion without pretending a workshop equals adoption.
Product proof
Built around real adoption evidence.
The platform already has the core surfaces a pilot needs: learner modules, admin review, progress oversight, and completion records.
Learner view
Personalized module reader
Chunked lessons, role-aware context, transparent pass criteria, and a clear submission step.
Lesson outline
Role-specific prompt starter
Submit sanitized evidence
Program lead view
Review queue + coaching loop
Admins see submitted artifacts, approve strong work, and request revision with useful feedback.
Submitted
Needs revision
Approved
Operator view
Progress dashboard
Module analytics, roster visibility, role filters, and cross-org oversight for LaMancha operators.
Adoption signals
Module breakdowns
Org selector
Completion artifact
Certificate of completion
Company-branded completion records issue only after required modules are approved or complete.
Required modules
Issue / revoke
Printable record