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Every seat your AI transformation needs, on one team.

Strategists, engineers, data specialists and designers, staffed to the work you bring us. Every seat has a named owner.

What you can bring us

  • 01Discovery
  • 02AI strategy
  • 03Consulting
  • 04Agents and apps
  • 05Data platforms
  • 06Training
  • 07Change management
  • 08Ongoing support
Who is on your engagement

Named roles, named owners.

The title matters less than the work. We fill whichever seats your request needs, and name each one in the scope.

Strategy

  • Chief AI Officer
  • AI strategist
  • AI consultant
  • Product manager
  • Program manager
  • Business analyst

Engineering

  • Solutions architect
  • AI engineer
  • Agent developer
  • Full-stack developer
  • Front-end developer
  • Back-end developer
  • Mobile developer
  • Integration engineer
  • Automation engineer
  • LLM engineer
  • ML engineer
  • QA engineer

Data

  • Data architect
  • Data engineer
  • Analytics engineer
  • BI developer
  • Data scientist
  • Data analyst

Design

  • UI/UX designer
  • Product designer
  • UX researcher

Platform

  • DevOps engineer
  • Cloud engineer
  • Platform engineer
  • Infrastructure engineer
  • Security engineer
  • Technical writer

And any other seat the work calls for.

The method

The AI Operating System.

Five principles, each with the thing it hands over. Every team we field runs on them.

  1. 01

    Find the Bleed

    Before anyone writes code, a Chief AI Officer and our agentic discovery system interview the people doing the work and size each workflow in hours and dollars. The result is a ranked map of where AI pays back first.

    You get: A sized, ranked list of workflows and what to build first, in writing.

  2. 02

    Deliver Without Drama

    Sprints in parallel delivery lanes with a named owner on each. You see working software as it takes shape, and your users accept it against criteria written at the start.

    You get: Working software, accepted by your users against the standard.

  3. 03

    Stack Don’t Scatter

    One owned system instead of a stack of subscriptions. We consolidate before we add, and we build on infrastructure you control, in accounts you own, so nothing you depend on can be repriced out from under you.

    You get: A system you own, documented, with fewer tools than you started with.

  4. 04

    Automate the 80%

    The repeatable majority of the work goes to the system. Your people keep the judgment calls, and the UI/UX designer makes the line between the two obvious on the screen.

    You get: Clear handoffs between what the system does and what your people decide.

  5. 05

    Dig the Moat

    Tools get rented. Systems get owned. We train a named owner inside your team, hand over the runbooks, and measure adoption after launch. Then we keep building as new needs come up.

    You get: A trained internal owner, runbooks, and adoption data.

How an engagement runs

Discovery, delivery, and a team that stays.

It starts with your goals, and it does not stop at the first delivery. Every new need runs the same loop, and most clients keep the team well past the first build.

  1. 01 · Before you sign

    Alignment

    • First calls

      What you want out of this: a build, training, change management, expert advice, or all of it.

    • The shape

      An engagement fitted to your goals, not a package.

  2. 02 · Two to four weeks

    Discovery

    • Leadership

      Your long-term goals, so everything we do is aligned to them.

    • Interviews

      A Chief AI Officer and our agentic discovery system map how the work runs.

    • The report

      Every opportunity sized, ranked and tied to your goals.

  3. 03 · Build by build

    Delivery

    • Lanes

      Parallel lanes, each with a named owner.

    • Acceptance

      Your users accept each system against criteria written in the scope. Nothing goes live without their approval.

    • Every month

      A review with the Chief AI Officer: what shipped and what is next.

  4. 04 · Twelve months and beyond

    Ongoing

    • The loop

      Discover, build, validate in a pilot, deliver. Then again, for the next thing.

    • What comes next

      New ideas keep coming. The same team designs and builds them.

    • Ownership

      Your people trained, with the runbooks in their hands.

Tell us what you want to get done.

A first conversation with a Chief AI Officer about your goals and what you need, whether that is a build, training, change management or expert advice. We shape the engagement around your answer.

  1. 01Your goals
  2. 02What you need
  3. 03The right first step