Teams that build with AI by default
Not training about what AI could do. Programs where your people build what AI will do: in your stack, on your processes, with the skill still there when we leave.
- Hands-on building on your real processes and real data
- A shared vocabulary (agents, assistants, automation) across the whole company
- Internal champions who keep building after the cohort ends
- Measured against the five dimensions, before and after
- A ChatGPT 101 webinar with a certificate
- A slide deck about possibilities
- Something only the tech team attends
- Finished when the workshop ends
Where leaders build capability
We've worked with mid-market companies across logistics, operations and manufacturing. The ones who lead their industries master five interconnected dimensions, not five separate projects.
01 Strategy
AI strategy drives business strategy
AI projects scattered across departments
Is AI advancing your strategic goals, or just making today's processes faster?
02 People
Teams solve problems with AI by default
Teams attended training, then returned to old habits
Does your team default to AI when solving problems, or treat it as an afterthought?
03 Data
Data accessible, governed, ready for AI to act on
Data exists somewhere, if you can find it
Can you deploy an AI solution tomorrow, or would you need months to prepare the data?
04 Internal Tools
AI embedded in daily workflows across operations
Pilots that never scaled, or tools people forget to use
Is AI how work gets done, or something people do when they remember?
05 Customer-Facing Tools
Customers experience AI-powered differentiation
Customers see the same service as always
Do your customers see value from your AI investment, or is it invisible to them?
Where you are today determines what you build next. Where you're weakest determines what competitors exploit. (Radar shapes are illustrative.)
Choose the program that fits
All programs run in your infrastructure on open-source tooling. You own what gets built.
Strategic Clarity Workshop
Leadership team
A visual map across the five dimensions, a roadmap prioritized by competitive impact, and executive alignment on where to invest.
Zero to Hero
Whole-company cohort
Everyone thinks in AI terms. First automations live. Operations building solutions, not requesting them.
Capability-Building Workshops
Operating teams + IT
Working AI infrastructure deployed in operations, by the team that will run and extend it.
Map → Build → Deploy → Hand over
Four moves, each one leaving something running in your business. No phase ends in a presentation.
- 01
Map
Score the five dimensions with your leadership team. Agree what capability the mission actually needs.
- 02
Build
Cohorts build real automations and agents for their own workflows: facilitated, never lectured.
- 03
Deploy
What gets built goes live during the program, with IT enabling rather than gatekeeping.
- 04
Hand over
Champions, playbooks and a re-scored map. The capability stays when we go.
You leave with this
Every engagement is scoped backwards from these. If one isn't on the list, it isn't in the price, and we'll say so.
- 01 Working automations in daily use
- 02 A company-wide shared vocabulary
- 03 Internal AI champions in each function
- 04 Playbooks and prompts your team wrote
- 05 A before / after capability map
- 06 A backlog of validated next builds
Train connects to the other three
Trained teams frame sharper hypotheses, and co-build the PoCs that test them.
Explore ValidateProduct squads move faster when the business side already speaks agents and data.
Explore BuildWhat our agent teams and their human leads learn in production flows back into your curriculum.
Explore Run“I thought I knew AI and realized I was behind. Now I'm a machine.”
What people ask about training
Short answers to the questions that come up in the first conversation about this offering.
01 Who should attend?
Everyone who touches the process, not just IT. The logistics cohort was company-wide. That's why the vocabulary stuck, and why operations started building instead of requesting.
02 What if our data isn't ready?
Then the Data dimension is where the cohort starts. Building on messy, real data is the lesson. Synthetic exercises don't transfer.
03 How do you measure that it worked?
We re-score the five dimensions and count what is live in daily use. Not satisfaction surveys.
Start with the team you already have
Thirty minutes to work out which program fits, and whether we're the right partner at all. No sales pitch.