Co-build a working AI assistant—then keep the momentum.

Two days of hands-on building with your team, followed by coaching that turns a prototype into everyday practice.

Talk to our team See how it works
A team co-building an AI use case around a table

A prototype is easy. Adoption is the hard part.

  1. 01

    Demos that stall

    Impressive prototypes that never reach a real user.

  2. 02

    No owner after the event

    Energy fades once the sprint ends and everyone returns to their desk.

  3. 03

    Built without the constraints

    Solutions that ignore data access, security, or approval reality.

You leave with something running—not a slide.

01

A working assistant

At least one AI assistant built on your real data and tools.

02

A shortlist of validated use cases

Ranked by value, effort, and risk—ready to prioritise.

03

A named owner and next sprint

Someone accountable, with a dated plan for what ships next.

04

Six weeks of coaching

Regular sessions to unblock the team as adoption spreads.

From idea to shipped, with support after.

  1. 01

    Scope

    Pick use cases worth building.

  2. 02

    Prepare

    Access, data, and guardrails in place.

  3. 03

    Build

    Two days of intensive co-building.

  4. 04

    Ship

    Move the best build into real hands.

  5. 05

    Coach

    Six weeks of unblocking and iteration.

Choose the sprint that fits.

01

Discovery sprint

One day

Map use cases and pick what to build first.

02

Build hackathon

Two days

Teams co-build working assistants end to end.

03

Coaching retainer

6–12 weeks

Regular sessions that keep delivery moving.

04

Internal build guild

Ongoing

Grow a team that can run sprints without us.

Need something different?

We can tailor the length, team size, and use cases to suit your sprint.

Contact us

Two days, from blank page to working build.

  1. 01Framing the problem and the data
  2. 02Rapid prototyping in small teams
  3. 03Guardrails, testing, and edge cases
  4. 04Demo, critique, and hardening
  5. 05Ownership, next sprint, and coaching plan
Participants presenting their build at the end of a sprint

Measure what ships, not what was demoed.

01

Assistants in real use

02

Use cases moved to production

03

Weekly active users

04

Time saved per workflow

Coached by the people who build.

✓

Real implementers

We ship AI systems in production, not just slides.

✓

Build-ready toolkits

Starter repositories, prompts, and evaluation harnesses.

✓

Support after the sprint

Coaching that carries the work into daily use.

Frequently asked questions

Do we need engineers on the team?

No. Mixed teams work best—domain experts bring the problem, we bring the build support.

Whose data do we build on?

Yours, inside your approved environment. We agree access and guardrails before day one.

What happens to what we build?

It stays yours. We hand over the code, prompts, and documentation.

How long is the coaching?

Typically six weeks, extended when a rollout needs it.

Can you run this remotely?

Yes, though the build days work best in person.

Build something real with your team.

Tell us your use cases, team size, and preferred dates.