AI Training and Coaching for Companies
A practical company AI enablement programme covering maturity, role-based training, governance, and hands-on adoption.
Project Summary
This knowledge base defines OzAI’s company AI training and coaching offer. It is designed for organisations that want their people to use AI confidently, safely, and productively, without turning the programme into a vague awareness campaign.
The material is organised around an AI maturity model. Each maturity level has a different training need: some teams need foundations and safe experimentation, while mature teams need workflow redesign, agentic automation, measurement, and governance.
Key Stakeholders and Roles
| Role | Description | Key Capabilities |
|---|---|---|
| Executive sponsor | Owns the business outcome and risk posture | Select priority domains, approve guardrails, track adoption |
| Department leaders | Translate AI into team-level workflows | Identify use cases, nominate champions, remove adoption blockers |
| AI champions | Power users embedded across the business | Coach peers, capture reusable patterns, escalate risks |
| Knowledge workers | Staff using AI in daily work | Draft, analyse, research, summarise, automate safely |
| Technical teams | Developers, data, IT, security | Build integrations, evaluate tools, govern data and access |
Scope at a Glance
| Module | Features | Complexity | Priority |
|---|---|---|---|
| Maturity assessment | Baseline interviews, tool inventory, workflow scan, readiness score | Low | P0 |
| Role-based curriculum | Executive, manager, staff, champion, and technical tracks | Medium | P0 |
| Hands-on coaching | Live labs using each team’s real work | Medium | P0 |
| Governance and adoption | Usage rules, data guardrails, escalation paths, metrics | Medium | P0 |
| Advanced enablement | Agents, RAG, automations, evaluations, internal playbooks | High | P1 |
Training approach - Teach the right AI capability for the organisation’s maturity level. Do not teach agentic automation to teams that have not yet learned safe prompting, data handling, and human review.
Documentation Map
| Section | Pages |
|---|---|
| Overview | Home, Research & Analysis |
| Programme Design | AI Maturity Model, Role-Based Curriculum, Governance and Rollout, Learning Flows, Workshop Formats |
| Operating Model | Architecture, Content Model, Deliverable Catalogue, Quality Principles |
| Delivery | Programme Options, Facilitation Plan, Risks |