Fractional Chief AI OfficerAn accountable AI lead, part-time

For 20 to 200 person firms

AI decisions are being made in your firm. Nobody owns them.

A fractional Chief AI Officer sits on your leadership team part-time, owns AI priorities and governance, and ships one working workflow with a written test record in the first 90 days. You get the judgment of a senior AI lead and a working system, on a part-time basis.

Book a free 30-minute call Send a short brief

Engagements are scoped after a short conversation.

A bearded man in a charcoal blazer leads a working session at a long oak table
Agenda item 01Where things stand

Every team has started using AI. Nobody has the whole picture.

Sales drafts proposals in one tool, finance tries another, and someone in operations built an automation that only they understand. Each choice made sense. Together they add up to spend nobody tracks, client data in places nobody approved, and pilots that never reach the work.

A full-time Chief AI Officer is a large hire for a firm your size, and the field moves faster than an executive search. What you need first is one accountable person with the judgment to choose, and the hands to build.

A bearded man in a charcoal blazer in a working session with a colleague at a meeting table

What it costs

Spend with no owner

Tools bought by each team, renewed by default, with no one asked what they replaced.

What it risks

Client data in unapproved places

Rules written after the fact, if at all, and no record of who checked what.

What it wastes

Pilots that stall

A promising test that never becomes how the work gets done, because nobody owned the last mile.

Agenda item 02Three ways to start

Start small. Keep the seat only if it earns its place.

P1 · Fit call

30 minutes on whether a fractional seat fits, or whether you need something smaller.

Free

P2 · First 90 days

The seat, with a defined first-quarter set of deliverables.

Scoped after a short brief

P3 · Ongoing seat

A standing AI lead on a set cadence after the first quarter.

Scoped after a short brief

What is insideP1 · Fit callP2 · First 90 daysP3 · Ongoing seat
Honest read on fit, including when the answer is not to hire anyoneIncludedIncludedIncluded
Inventory of where AI is already used and the risk in each useNot in this oneIncludedIncluded
Ranked list of workflows worth automating, in orderNot in this oneIncludedIncluded
Written governance policy your team can followNot in this oneIncludedIncluded
Colorado SB 24-205 review where it appliesNot in this oneIncludedIncluded
One workflow in production with a written test recordNot in this oneIncludedIncluded
One accountable owner for AI decisions on your leadership teamNot in this oneIncludedIncluded
Quarterly priorities and a review of what to keep or stopNot in this oneNot in this oneIncluded
Next workflows built and testedNot in this oneNot in this oneIncluded
Help scoping and hiring a permanent AI lead when the time comesNot in this oneNot in this oneIncluded
Agenda item 03What it changes for each seat at the table

One owner for AI, seen from your chair.

A bearded man in a charcoal blazer reviews a bound document at a walnut desk
Agenda item 04The first 90 days

Four laps, each with something you can hold.

Lap 1 · See itAn inventory of where AI is already used across your firm, and the risk in each use.
Lap 2 · Rank itA ranked list of workflows worth automating, agreed with your leadership team.
Lap 3 · Set the rulesA written governance policy, with Colorado SB 24-205 review where it applies.
Lap 4 · Ship oneOne workflow in production, with an owner and a written test record.

Pit wall rule: no lap is finished until the thing it produced is in your hands.

In the seat

Sets the priorities. Writes the rules. Builds the first workflow.

One person answers for all three, so nothing falls between strategy and the build.

Agenda item 05The person in the seat

Mike Rodgers

Mike founded Rodgers Intelligence Group in Denver in 2025. He started his career in industrial engineering and operations, and he is a U.S. Army veteran. His work sits between business strategy and AI engineering: understand the business, make the tradeoffs explicit, and stay close to the build.

That is the difference in the seat. Mike sets the priorities and writes the rules, then builds the first workflow with your team.

Agenda item 06Commitments you can check

What the seat promises in writing.

Each one shows up as a document or a record you keep, whether or not the engagement continues.

  • No workflow goes live without written checks you approved before the build.
  • Every workflow has a named owner on your team.
  • Client data stays inside the systems you already approve.
  • You own the policy, the specifications and the test records.
  • If a smaller engagement or no hire is the right answer, you hear it on the first call.
Agenda item 07How this compares

Judgment and a shipped system, in one seat.

Fractional CAIO with RIGAI consulting projectFull-time hire
Who owns AI decisionsOne accountable lead on your team, part-timeThe statement of workA full executive seat
What you get firstA ranked list, a policy and one working workflowA defined projectA plan, after the search ends
Builds the systemYes, alongside your teamUsually, through a teamThrough the team they hire
How you startA free 30-minute callA proposalAn executive search

Start here

Tell Mike where AI decisions are piling up.

Book a free 30-minute call, or send a short brief: your firm, the teams using AI, and the one decision nobody owns. Mike replies personally.

Book a free 30-minute call

Your email app should now be open with the brief. Nothing is sent until you press send there.

Agenda item 08Questions

Questions owners ask first.

How is it priced?

Engagements are scoped after a short conversation, against the deliverables and the cadence you need.

Do we need a full-time Chief AI Officer instead?

Some firms do. If that is your situation, Mike will say so on the first call and help you scope the role.

What do we keep if we stop after 90 days?

The inventory, the ranked list, the governance policy, the workflow in production and its test record. They are yours.

Where does Mike work?

RIG is based in Denver and works with Colorado operators, in person or remote.

Is there a smaller first step?

Yes. A One-Workflow Review looks at a single workflow before any seat or build.