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Approach

Five stages to AI native, one function at a time.

We start where the number is, the revenue engine, and take the company to AI native one function at a time, with a software organization of AI agents doing the work beside your team.

Five stages

  1. 01Read

    What happens
    Before the first call we read the business from the outside: market, customers, competitors, hiring, public records.
    What you get
    What's stuck and where we would start.
    Walk-away point
    Keep the read, whatever you decide.
  2. 02Map

    What happens
    Every function mapped: the revenue engine, workflows timed with the people who run them, systems and data, where AI fits and where it should not.
    What you get
    The map, the one number, a phased plan.
    Walk-away point
    Keep the map and the plan, and build it with anyone.
  3. 03Build

    What happens
    The foundation first: systems connected, one source of truth, the KPI tree, access and approvals. Then the first agents on the repeatable work in one or two functions.
    What you get
    A Monday brief that runs itself and the first agents live, measured against the timed map.
    Walk-away point
    Keep everything built, running in your accounts.
  4. 04Run

    What happens
    Agent teams across functions, shared memory, experiments that compound, corrections that become rules, one function at a time.
    What you get
    The engine, improving as your team learns.
    Walk-away point
    Keep the engine as it stands.
  5. 05Own

    What happens
    Your team runs it: the operating cadence, roles, comp and the hiring plan updated for agents, runbooks and training.
    What you get
    An AI-native company your team owns.
    Walk-away point
    Your team has the runbooks and training.

Rules that hold across all five

  • 01Built in your accounts

    Everything is built in your accounts and stays yours.

  • 02Timed before quoted

    Hours saved are quoted only after the work was timed with the person who does it. The mapping tool refuses anything else.

  • 03Least privilege

    Agents act with least privilege. Anything that writes to a customer or spends money waits for a named person to approve it.

  • 04Walk-away points

    Each stage ends at a walk-away point. Nothing rolls forward by default.

Already AI native?

AI-native teams do not need to be convinced. They need horsepower, hardening and a go-to-market that moves as fast as they ship.

How we work with AI-native teams

  • In your repo, through your pull requests. No black box, no platform lock.
  • On your stack: your models, your cloud, connectors as MCP servers you can read.
  • Evals you can run yourself before you trust anything we ship.
  • Weekly receipts: what shipped, what it moved, what failed.
  • Security first: least privilege by default, an audit trail on every action.

Tell us which stage you're at and what's stuck. The read comes first, and it's free.