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Review and decide

Embedded AI Leadership

An AI lead embedded with your leadership team, working on how the business actually runs.

From $2,000 a month

The problem

Most firms do not have an AI problem. They have a workflow problem that AI could fix, and the decisions about which ones, in what order and with which tools land on a director who already has a full job. A project-based consultant leaves before the second decision. A full-time hire cannot be justified. So the environment stays as it is, and the admin keeps growing around the technical work.

What we build

  • A standing seat in your leadership rhythm, with a named person accountable for the roadmap
  • A monthly scorecard on the workflow and systems measures that move margin before the P&L shows it
  • One increment delivered each month: a process joined, a re-keying step removed, a question your job data can now answer
  • Vendor and tooling calls made with the reasoning recorded
  • The internal AI policy and acceptable use position
  • Capability building with your own team, so they get more able rather than more dependent

How the engagement runs

From $2,000 a month, with a fixed monthly shape so it cannot be read as unlimited: the scorecard, a standing review with your leadership team, and one increment delivered. Anything larger is quoted separately and you decide. Minimum three months, because less than that is not leadership, it is advice.

What a month includes

  • The scorecard: the KPIs that matter to your business, defined once and reported on an executive dashboard, delivered before the review
  • A standing review with your leadership team, with a named person present
  • One increment delivered: a process joined, a manual step removed, or a question your job data can now answer

The first fortnight

Within two weeks of getting access to your job system, you have the first scorecard and a written recommendation, including not yet if that is the honest answer. If you do not have both by then, you do not pay for the first month.

What we measure

These move margin and utilisation before the P&L shows it. Definitions are written down, so a number means one thing across the business.

  • Jobs with time booked within 48 hours of the work
  • Days from enquiry to proposal out
  • Variations approved before the work starts, against after
  • Jobs past fee with no variation raised
  • Re-keying points still remaining between systems
  • Days from job complete to invoice issued
Illustrative concept, sample data

Asked

Which jobs have gone past fee this month, and why?

Jobs past fee
4
Time past fee
$18,400
Period
Aug 2026
  • J-2291 Riverside depot upgrade

    117%of fee

    $42,000 fee · $49,100 booked

    Two extra site visits booked after the fee was set. No variation raised.

  • J-2317 Warehouse 7 structural review

    129%of fee

    $18,500 fee · $23,900 booked

    Scope grew at the client's request in week three. Variation drafted, not sent.

  • J-2344 Eastbank pump station

    105%of fee

    $64,000 fee · $67,200 booked

    Rework after the survey came back. Recoverable under the existing variation.

  • J-2360 Depot switchboard upgrade

    128%of fee

    $9,800 fee · $12,500 booked

    Fee was set from the wrong rate card. The job itself is on programme.

Fees exclude GST. Booked is time at charge-out rate against the agreed fee, variations included once approved.

Sample data. Not a client system.

What you get

  • The executive dashboard, every month, with the definitions written down
  • A project plan for bringing AI into the business, sequenced by what pays back first, and reprioritised as things change
  • Vendor decisions with reasoning recorded
  • A team that gets more capable rather than more dependent

Where this does not fit

If you already know the one process you want fixed, this is the wrong shape. Go straight to a build. And if you have a capable internal technology leader with time available, you do not need this either. Use AI Strategy for the map and let them run it.

Start with a discovery call.

An hour on how your business runs, where the time goes, and whether AI is worth spending money on yet. You leave with our written read, whether or not we build anything.