Architecture

Operating model for a company AI training and coaching programme.

Programme Architecture

graph TD
    A[Maturity assessment] --> B[Role-based curriculum]
    B --> C[Hands-on workflow labs]
    C --> D[Champion network]
    D --> E[Shared playbooks]
    E --> F[Adoption metrics]
    F --> A

    G[Governance guardrails] --> B
    G --> C
    G --> E

Learning System

Layer	Purpose	Outputs
Assessment	Understand current capability and risk	Maturity score, use-case shortlist
Curriculum	Teach relevant skills by role	Workshops, labs, exercises
Practice	Apply AI to real work	Draft workflows, prompts, review checklists
Governance	Keep adoption safe	Data rules, human review points, escalation
Measurement	Prove value and steer the next phase	Adoption metrics, value evidence, blockers

Delivery Channels

In-person workshops for leadership alignment and high-energy workflow labs.
Remote coaching clinics for distributed teams.
Recorded micro-lessons for repeatable foundations.
Shared playbook library for prompts, checklists, examples, and approved use cases.
Champion sessions for internal capability transfer.