Where to invest your AI budget, ranked by return
AI Strategy and Fractional CAIO
An experienced operator sitting at your leadership table, producing a ranked roadmap with honest costs and killing the projects that will not pay back.
What this is
Most AI budgets are spent on the most visible use case rather than the most valuable one. A fractional Chief AI Officer engagement produces a ranked portfolio: what to build, what to buy, what to leave alone, with an estimated payback period against each item and a governance model that keeps the whole thing auditable.
What is included
- Opportunity inventory built from process observation, not a workshop wish list
- Ranked roadmap with cost, effort, payback period, and risk against every item
- Build versus buy analysis with real vendor pricing
- Governance model: approval thresholds, data policy, model selection standards
- Board and investor ready reporting on adoption and measured return
How we run it
Observe
Time with the teams doing the work, not just the leadership summary of it.
Quantify
Volume, cycle time, error rate, and fully loaded cost per process.
Rank
Payback modelling across the portfolio, including the projects we recommend against.
Govern
Policy, approval thresholds, and a standard for how projects get evaluated.
Review
Monthly progress against the roadmap, quarterly refresh of priorities.
What you receive
- Written AI strategy document, refreshed quarterly
- Ranked initiative portfolio with business cases
- Governance and policy framework
- Monthly leadership session plus asynchronous availability
- Vendor evaluation support during procurement
- Typical durationOngoing, monthly
- Indicative investmentFrom $4,500 per month
- CategoryGrow
- Starts withFree written quote
Opens the quote form with AI Strategy and Fractional CAIO already selected.
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Month one is refundable. If the first month does not land we return it. We would rather refund than carry a project neither side believes in.
The return
What this gives back, every month
Ranges, not promises. They come from published 2026 automation benchmarks and our own delivery data, and the audit re-runs them against your actual volumes before you commit anything.
Why buy it
The case for doing this now
Budget goes to the visible use case, not the valuable one
The chatbot everyone can see gets funded. The invoice matching process that quietly costs four hundred hours a month does not, because nobody has measured it.
Saying no is the highest leverage act
Most of the value in this engagement is the projects that never get built. A ranked portfolio with honest payback estimates is worth more than another proof of concept.
Governance is cheaper before the sprawl
Approval thresholds, data policy, and a model selection standard are simple to set now and expensive to impose on twenty teams later.
Compared to the alternatives
What the same outcome costs elsewhere
Every option below solves some version of this problem. Here is what each one actually costs over twelve months.
| Your options | Upfront | Ongoing | Time to value | What you get |
|---|---|---|---|---|
| No strategy function | None | Unranked spend | Never | Budget follows whoever asks loudest |
| Full time CAIO | Executive search | $31,600/mo | 5 to 8 months | Hard to justify below several hundred staff |
| Large consultancy | $100,000 to $250,000 | None | 3 to 4 months | Deck heavy, delivery usually a separate contract |
| deepaibots | None | $4,500/mo | 2 to 3 weeks | Two to four days a month, quarterly refresh |
What changed
Why this is worth buying in 2026 and was not in 2024
The scope of this service moved with the tooling. These are the shifts that make the engagement materially better than the same brief eighteen months ago.
- 01
AI budgets moved from innovation line items into operating budgets, which means they now face the same payback scrutiny as any other spend.
- 02
The build versus buy calculation shifted repeatedly as vendors shipped features that used to be custom work. A roadmap written eighteen months ago is likely recommending builds you can now buy.
- 03
Boards began asking for measured adoption and return rather than pilot counts, which changes what the reporting has to contain.
FAQ
AI Strategy and Fractional CAIO: your questions
How many days per month?
Typically two to four, split between a leadership session and asynchronous work. Scaled to your size.
Will you recommend your own build services?
Sometimes, and we say so explicitly. The roadmap ranks build versus buy on merit, and plenty of items land as buy or do nothing.
What size company is this for?
Most engagements sit between 50 and 800 staff. Below that a project engagement usually delivers more per dollar.
Related
Other services in grow
Team Augmentation
AI native engineers, embedded in days
- Starts in days
- Replaceable in two weeks
- Knowledge transfer built in
- No recruiter fee
AI Workshops
Up level your team in one week
- Built on your tools and data
- Everyone ships something
- Recordings you keep
- 30 day office hours
Custom Training Programs
Hands on programs tailored to your stack
- Baseline and post assessment
- Real backlog projects
- Champion enablement pack
- Runs 4 to 12 weeks
Get a fixed price for ai strategy and fractional caio
The quote gives you a written scope and a fixed price. No obligation to proceed.