Build product capability for the AI age
Hands-on training for product teams that combines product thinking, delivery discipline, and AI-native prototyping. Practical, structured, and designed to produce artefacts engineering can use.
Flagship workshops now, with a structure that scales as new programmes are added
Practical
You build. You test. You leave with working outputs, not theory.
Structured
Clear framing, specs, acceptance criteria and handoffs that reduce rework.
Safe
AI-native workflows that complement engineering and strengthen delivery discipline.
Course catalogue
AI-Native Prototyping for Product Teams
Learn a practical workflow to build prototypes quickly using modern AI tools, then convert what you learn into structured requirements and engineering-ready handoffs.
- Prototype in hours, not weeks
- skills.md discipline and design criteria
- Acceptance criteria + handoff pack
AI-Native Delivery Discipline (Coming soon)
A practical operating model for teams using AI day-to-day: governance-lite, prompt/version discipline, quality gates, and delivery integration without bureaucracy.
- AI in backlog refinement and sprint planning
- Prompt lifecycle, reuse, change logs
- Testing and risk flags
Learn AI for value
Our workshops offer progression that lets teams build capability over time.
Foundation
AI-Native Prototyping
Build fast prototypes, validate early, and produce engineering-ready outputs.
Professional
AI-Native Delivery Discipline
Integrate AI into agile delivery with prompt discipline, quality gates and safe reuse.
Leadership
AI Operating Model (Tailored)
Executive-level alignment on AI ways of working, governance, and capability rollout.
In-house Training
Bring this to your product organisation
We run private versions of these workshops for product teams, leadership groups and cross-functional squads.
- On-site or online
- Product + delivery + engineering-friendly
- Outputs designed for real delivery, not demos
FAQ
Do I need coding experience?
No. The course is designed for product professionals. You’ll learn an AI-native workflow that produces working prototypes and structured handoffs.
Will this replace engineering?
No. The aim is to reduce ambiguity before sprint commitment so engineering teams can deliver with confidence and less rework.
What tools do you use?
We demonstrate modern AI-assisted workflows (e.g. coding copilots, repo-based iteration, structured specs). The exact tools can vary based on your environment.
Can you tailor this to our organisation?
Yes. Private sessions can be adapted to your delivery process, governance needs, and product context.
Want training that produces real delivery outputs?
Get course availability, private team options, and the next cohort dates.