FossAI Advisory

Fractional Chief Data and AI Officer leadership for companies too small for a full-time one.

Fractional Chief Data and AI Officer leadership for companies too small for a full-time one and too serious to wing it.

The Problem

Two bad options, and most companies pick the second by default.

The first option is to hire a full-time data and AI executive at $300k plus equity and hope there is enough work to justify it. For a company between $10M and $500M in revenue there usually is not, at least not yet. The role gets scoped down until it is really a senior analyst with a title, or it gets scoped up into something the company cannot actually staff underneath, and either way the hire is unhappy within a year.

The second option is to let it happen. Somebody in operations is curious, somebody in marketing signed up for a tool with a credit card, and finance is quietly running numbers through something nobody has vetted. Eighteen months later there are a dozen disconnected subscriptions, no governance, no shared standard for what may be uploaded, and company data sitting in vendor systems nobody reviewed. None of this shows up as a problem until it shows up all at once.

The market does not serve this size well. The large consultancies will take the meeting and then staff the engagement with people learning on your budget, because an engagement this size does not get their senior attention. The boutique AI shops are often genuinely good at implementation and sell it without the governance layer, which means you get a working pilot and no answer when someone asks who approved the data leaving the building.

Then the forcing function arrives from outside. An enterprise customer's security review starts asking AI questions. A regulator, an insurer, or an acquirer wants to see the policy. A board member reads something and asks what the company's position is. At that point the question is not whether AI creates value. It is whether anyone can produce a document.

Who This Is For

Leadership at companies between $10M and $500M.

  • CEOs

    A straight answer on where AI creates real capacity in this business, and a position the board and your customers can be shown.

  • COOs and heads of operations

    A sequenced roadmap tied to actual workflows, scored by value against difficulty, rather than a list of tools to try.

  • CFOs

    Vendor consolidation, a defensible spend, and governance that holds up in a customer security review or a diligence process.

  • Companies with enterprise customers

    The written policy and vendor standard that security questionnaires are starting to ask for by name.

What We Do

Five ways in, one sequence underneath.

Most engagements start with the advisory day or the assessment and move into a retainer once the roadmap exists. Governance can run in parallel when a customer review or a diligence process is forcing the timeline.

Strategic Advisory Day

6 to 7 hours, virtual or on site

One day, one problem, one clear path forward for a leadership team stuck on a high-stakes AI decision or misaligned on direction. Real-time decision documentation, a written decision brief, and a 30-day action plan. The cheapest way to find out whether we are useful to you.

AI Opportunity Assessment

4 to 6 weeks

A focused engagement that maps where AI produces real margin or capacity in this business specifically, scores each opportunity by value against implementation difficulty, and produces a sequenced roadmap. Ends with a board or leadership presentation. If the honest finding is that the data is not ready, the roadmap starts there instead.

Data and AI Governance Build

Written standards and workflow

Acceptable use policy, vendor AI evaluation standard, data classification, retention and access controls, and an approval workflow for new tools. Built for companies with regulatory exposure or enterprise customers whose security reviews are starting to ask AI questions. Your counsel signs off, not us.

Workforce AI Enablement

Per cohort day

Role-based training for leadership, operations, sales, finance, and customer-facing teams, built on your own workflows rather than generic examples. Same guardrails-first structure as the sports and schools practices, which means the session on what may not be pasted in comes before the session on what the tools can do.

Fractional CDAO

One to three days a month

Ongoing executive leadership on a retained basis. Owns the data and AI roadmap, vendor evaluation, governance, and the internal capability build, and sits in leadership meetings rather than presenting to them. Typically one to three days a month, with a six-month minimum because nothing useful happens in eight weeks.

Pricing

Published, and set to favor fewer, deeper engagements.

Strategic Advisory Day

$7,500

One day, one decision, written brief and 30-day plan

AI Opportunity Assessment

$18,500

Scored opportunity map and sequenced roadmap, 4 to 6 weeks

Data and AI Governance Build

$15,000

Policy, vendor standard, classification, approval workflow

Workforce AI Enablement

$6,500

Per cohort day, role-based tracks

Fractional CDAO Retainer

From $8,000/month

One to three days a month, six-month minimum

The retainer floor is deliberate. Capacity for this practice is limited, so the pricing is set to discourage volume and favor a small number of engagements where the leadership team is genuinely committed. Every engagement starts with a discovery call rather than a quote form.

Why FossAI

Someone who has held the seat, not studied it.

The executive half

A C-level data and AI officer, in a hard environment.

Bryan Fossi served as Chief Data, Analytics and AI Officer in a federal command running one of the largest logistics enterprises in government. That meant owning a roadmap and a budget, sitting in leadership meetings rather than presenting to them, and answering for governance decisions in an environment where the constraints are not negotiable. A fractional CDAO who has never held the role is a consultant with a new title.

The current practitioner half

Still building, this quarter.

Bryan currently leads an AI/ML and data intelligence practice at a federal consulting firm, so the technical judgment is current rather than remembered. You get an assessment of what these tools can do now, including an honest account of where they fail, from someone whose day job is shipping them. You also get the person you hired doing the work, with no junior staff layered underneath.

What We Will Not Claim

The list that makes the rest of it credible.

Every firm in this market has a list of things it promises. This is the list of things we do not, published in the same place on every page.

  • That AI will replace headcount. We will tell you where it creates capacity. What you do with that capacity is a decision you make, not an outcome we promise.

  • A specific ROI or hours-saved figure. You will hear numbers from other firms. Ours come from clients who measured it and agreed to be quoted, or not at all.

  • That we can certify you as compliant. We build policy and practice. Your counsel signs off, not us.

  • That the assessment will tell you to do a lot of AI. Sometimes the honest finding is that your data is not ready and the first six months of work is unglamorous.

  • That a fractional CDAO is the same as a full-time one. It is not. It is the right choice at a specific stage and we will tell you when you have outgrown it.

  • That we are a reseller or an implementation partner for any vendor. We take no referral fees, which is the only way vendor evaluation means anything.

Questions

What buyers ask before the first call.

How is this different from hiring a consultant?
A fractional CDAO owns outcomes on a standing basis rather than delivering a report and leaving. The roadmap, the vendor decisions, the governance, and the internal capability build stay with the role. It also means sitting in your leadership meetings rather than presenting into them.
Why a six-month minimum on the retainer?
Because the first month is spent learning the business and nothing durable lands in eight weeks. A three-month engagement produces a roadmap nobody executes. If six months is too long a commitment to start with, do the advisory day or the assessment first.
We are 40 people. Are we too small?
Possibly, and we will tell you. Below roughly $10M in revenue the honest answer is usually that you need one or two specific workflows built and a one-page policy, not a fractional executive. That is a shorter and cheaper conversation and we will point you at it.
Do you implement, or just advise?
Mostly the latter, deliberately. The work covers roadmap, governance, vendor evaluation, enablement, and the light automation that does not require a development project. When you need real engineering, we help you scope and evaluate it rather than selling it to you.
What if the assessment finds we should not invest in AI yet?
Then that is the finding and it goes in the report. The common version is that the data is fragmented, a system of record is unreliable, or an existing vendor agreement is the actual constraint. That answer is worth more than a roadmap built on data that will not support it.
How much of your time do we actually get?
One to three days a month on a standard retainer, scoped in advance and spent on your roadmap, your leadership meetings, and your vendor decisions. Capacity for this practice is limited, which is why there are few engagements and why the floor is where it is.

Get Started

Bring the decision you have been circling.

A vendor you cannot evaluate, a board question you cannot answer, or a security questionnaire you cannot fill in. That is the right first conversation.