01
Set up the pilot workspace
LaMancha provisions the company workspace, invites program leads, and defines starter roles for the team.
A practical platform for helping employees learn AI, build role-relevant artifacts, get coached by program leads, and give leaders visible evidence of adoption.
Artifact-based rollout
LaMancha turns AI training into reusable company assets: role context, workflow briefs, reviewed examples, policy readiness notes, and completion records.
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.
9
Learning modules
5
Required artifact checks
4
Reusable company assets
1
Completion certificate path
01
LaMancha provisions the company workspace, invites program leads, and defines starter roles for the team.
02
Learners complete practical modules, connect lessons to their role, and submit sanitized artifacts instead of just clicking through content.
03
Program leads review submissions, give feedback, approve completion, and watch adoption patterns emerge across the team.
04
Role profiles, workflow briefs, policy-readiness notes, approved examples, and certificates become reusable rollout evidence.
Product proof
The platform already has the core surfaces a pilot needs: learner modules, admin review, progress oversight, and completion records.
Chunked lessons, role-aware context, transparent pass criteria, and a clear submission step.
Admins see submitted artifacts, approve strong work, and request revision with useful feedback.
Module analytics, roster visibility, role filters, and cross-org oversight for LaMancha operators.
Company-branded completion records issue only after required modules are approved or complete.
Learning path preview
Module 0
Sets expectations for the company rollout, explains how completion works, and frames AI as a practical workflow capability.
Module 1
Covers what AI is good at, where it fails, and why human accountability still owns the outcome.
Module 2
Teaches the reusable Goal / Context / Constraints / Output / Validation prompt pattern.
Module 3
Defines sensitive data boundaries, review expectations, prohibited uses, and escalation habits.
Module 4
Breaks the intimidation barrier by using natural language to create a real work artifact: a form, invoice, checklist, mini-page, spreadsheet-style tool, or printable PDF-ready HTML document.
Module 5
Turns real roles and workflows into reusable AI context for training, onboarding, prompts, and future assistants.