AI Coaching for Your Team

This is a structured curriculum in how to work with AI at work, and the same method we use when we roll it out inside our own companies. It is general and educational, with no vendor pitch. You start by treating AI as a capable intern whose work you check every time. You finish running an operating system that makes work visible, reusable, and reportable, with Claude as a coworker and Claude Code as an operator. Throughout, the discipline is step four of the P1 method — keep ownership and accountability clear: the system carries the work, but the decisions stay with the people who own them.

The programme is sequenced: the foundation → reusable helpers → a coworker you delegate to → an operator that works on your files → your own AI operating system. Each part builds on the one before it. Work through it in order, or start at the stage that matches your team.

Three tracks, twelve weeks each.

This is the AI training curriculum P1 Thailand built and teaches its own team with, now offered to other organisations. All three tracks share the same length, pace, and safety principle; each one trains a different capability. Pick the track that matches where your team is today, or run all three in sequence.

How progress is tracked.

Alongside the three tracks above, the maturity ladder shows where each person is today, from no experience to setting team-wide standards — the same measure across all three. Full detail lives on the foundation page.

Start with the foundation →

The rest of the curriculum.

Three supporting pages sit alongside the four parts: a plain primer on how AI actually works, the full programme structure, and how it applies role by role.