Learning
Learning workshop
Your team leaves with new skills and a shared understanding, taught on examples. Half day, full day or two days.
Sessions drawn from our real-world work, delivered remotely, from half a day to two days. Working sessions suit about 6–12 people; learning sessions can be much larger.
Learning
Your team leaves with new skills and a shared understanding, taught on examples. Half day, full day or two days.
Working
Your team leaves with something it made together in the room: a draft, a prioritised list, a process map or a prototype. Half day, full day or two days.
Help engineers hear what users mean, not just what they say.
Learning · Full day
A shared vocabulary so business and technology stop talking past each other.
Learning · Half day
Identify the spreadsheet processes that should become software, and in what order.
Working session · Half day
Take a real application apart together and see why it is built the way it is.
Working session · Half day
Build one visible roadmap that both the desk and the developers believe in.
Working session · Full day
Align the room on what the product is for and how you will know it is working.
Working session · Half day
Decide what the first version includes — and, just as important, what it does not.
Working session · Half day
Turn loose requirements into stories a development team can estimate and build.
Working session · 1–2 days
Map how people actually move through your product or process, end to end.
Working session · Half day
Walk the happy paths and the awkward ones, so nothing surprises you in build.
Working session · Half day
What modern AI can and cannot do, taught on examples from your world.
Learning · Half day
Leave the room with a working prototype of one AI idea, built together.
Working session · Full day
Rank your AI ideas by value, feasibility and risk, and leave with a shortlist.
Working session · Half day
Goals, boundaries, escalation and tone — designing how an agent acts.
Learning · Full day
What changes when an AI feature has to survive real users and real data.
Learning · Full day
Decide where people stay in control and how handovers work.
Working session · Half day
How an agent works through a task — planning, tool calls, checks and handoffs.
Working session · Half day
What an AI feature should remember, forget and adapt to.
Working session · Half day
Find the ways your AI feature can go wrong before your users do.
Working session · Half day
Structure your documents and expertise so AI can actually use them.
Working session · Half day
Pick models on cost, quality and risk — and know when to switch.
Learning · Half day
How engineering teams work when AI writes much of the first draft.
Learning · Full day
Walk through an existing system's architecture together and pressure-test the decisions behind it.
Working session · Half day
A senior review of your plan before building begins.
Working session · Half day
Sort the debt that matters from the debt that can wait, with a plan for both.
Working session · Full day
The patterns behind internal platforms that teams actually adopt.
Learning · Full day or 2-day bootcamp
How to build small without boxing yourself in later.
Learning · Half day
Reviews, branching, releases and ownership — the habits that keep teams fast.
Working session · Half day
Run a simulated failure and find the gaps before a real incident does.
Working session · Half day
Design recovery tests that prove you can come back, not just hope you can.
Working session · Half day
An initial call about your business and what you need.