Practice. Review. Repeat. Take the method with you.
Help your team use AI on the work they already do. Choose a hands-on program for engineering, business teams, internal champions or specialist workflows.
Each program starts with an internal owner, authorized real work and agreed access and review rules. Participants see a method demonstrated, apply it, find its limits, review with a coach and repeat.
Protected practice time and internal ownership make the learning useful after the program ends.
Product, engineering, QA and DevOps teams work on a live module in their own codebase. Practise specifications, repository context, tests and human review; leave with reusable instructions, guardrails and a delivery playbook.
5 weeks · 160 hours · 15 participants · Demo DayOne business function improves recurring work using its own documents and decisions. Build reusable Skills, task agents and scheduled workflows, with named owners and review points.
4–5 weeks · 44 live hours · 15–25 participantsInternal champions each improve a real process, coach colleagues and share progress. Weekly reviews and monthly demos build an internal playbook for wider adoption.
16 weeks · 10–15 champions · Monthly demosUse domain terminology, approved evidence and clear review rules on work such as credit memos, claims or supplier reviews. Build a shared library of reusable workflows with traceable sources.
4 weeks · 20 two-hour sessions · Demo DayAgree the cohort, live work, access, security requirements and starting point.
Work through guided exercises using the team’s own code, documents or processes.
Use coaching and demos to compare progress with the starting point and refine the approach.
Leave reusable assets, named owners and next steps for continued practice.
The detail follows discovery. The work begins with a shared understanding of the task and who owns each decision.
Choose Engineering for software delivery, Business Teams for one function, AI Champion for internal adoption leaders, and Domain-Specific for work requiring specialized terminology, evidence and approvals.
Both build capability through live work. Standalone cohorts have the formats listed here. The embedded accelerator in Transformation is coordinated with factory installation and the project’s delivery milestones.
Engineering participants work with code. The Business Teams program is designed for no-code work. Other cohorts use tools and tasks matched to their responsibilities.
Nominate an owner, identify authorized work, protect participant time and agree tool access, security boundaries and review rules before the cohort begins.
Build capability with an accelerator or training, or scope a focused consulting implementation.
Practical AI training and coaching for engineers, business teams and leaders. Build confidence with approved tools, real tasks and feedback on the work participants produce.
Explore AI TrainingTurn a specific business problem into a working AI system. We design and build custom agents, knowledge assistants and workflow integrations, with people in control of the decisions.
Explore AI ConsultingTell us what your team builds, where delivery slows down and what you want to improve. We’ll help you choose a useful place to start.
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