Chief AI Officer as a Service

Senior AI leadership in the seat now. We carry the Chief AI Officer function for your business, or work beside the leaders you already have.

Boards now ask who owns AI, and the talent that can answer is scarce: the best of it is working at AI companies. Hiring that seat from the market takes quarters you do not have.

Building your own AI leadership is necessary, and it goes faster paired with people who already carry the job. We advise your executives and your board, or the AI chief you are growing into the seat.

Behind the seat is a team that builds enterprise AI security software for a living, and a practice that takes strategy to production.

The mandate

We carry the full mandate of an AI executive, with a working practice behind it.

Strategy and portfolio

We own the AI agenda and its sequence: which use cases run, in what order, and why.

Governance and risk

We run policy, risk appetite, and regulatory readiness as one discipline.

Vendors and the stack

We track what is on the market, choose the stack deliberately, and sit on your side of every procurement.

Budget and accountability

We plan and track AI spend, and we answer for it at the executive table.

Reporting the board can use

We report progress, posture, and risk in terms the board can act on.

Talent and operating model

We design the team your AI agenda requires, help you hire it, and develop it beside ours.

We hold the seat, or we back the person who does

Both modes put a senior AI executive on the work, with our engineers and strategists behind them.

As your CAIO

We hold the office: strategy, governance, budget, and the seat at the table. The decisions stay yours.

Alongside your leaders

Your CIO, CISO, or AI chief keeps the chair. We pair with them: the agenda, the reviews, and the build capacity behind their seat.

Equal parts engineer and executive

Every major AI decision is now both an engineering call and a business call. The seat has to make both well.

A business-only chief buys what the market sells. An engineering-only chief builds what the business cannot use. The seat has to read a vendor claim like an engineer in the afternoon and defend the portfolio to the board the next morning.

That profile is our forward-deployed practice in one person: the same firm whose engineers and strategists build production AI inside businesses. See the engineering practice

  • Engineering depth

    Judge models, architectures, and vendor claims with a builder's eye.

  • Business judgment

    Direct the portfolio, the spend, and the risk in the boardroom.

Reviews every two to four weeks

The office runs on the same rhythm as the rest of the practice: we review the work with your leadership in plain terms, against the business case.

Between reviews, the seat carries the agenda, answers the board, and holds the portfolio, the spend, and the risk in one picture.

The standing agenda
  • Portfolio. Every use case, its owner, and its status against the business case.
  • Posture. Governance and regulatory readiness as they stand today.
  • Spend. AI budget against plan, with drift caught early.
  • What next. What the evidence says to build, buy, or stop.

The talent bar

Every team we field carries substantial experience across five disciplines. A team without all five does not get staffed, and projects are led only by senior AI experts.

That standard limits how many engagements we run at once, and which ones we accept.

Behind the senior core sits our partnership with Elios: a deep bench across AI and software engineering that lets a program grow from one embedded team into a sustained transformation effort without lowering the bar.

  • Business
  • IT
  • Consulting
  • Software engineering
  • AI engineering

Two ways in

Begin with the workshop or the leadership review. Either way your leadership leaves with decisions made.

Leadership workshop

A working session with your executive team: where AI moves your business first, and what it takes to get there. You leave with a ranked shortlist your organization can act on.

AI leadership review

A structured review of where the AI office stands today: mandate, portfolio, governance, and spend. You leave with the mandate the seat needs and the gaps to close.

The AI office
your board is asking for.