Senior AI judgment at the leadership table.
A Fractional Chief of AI, embedded for 90 days. Strategy, architecture, governance, and a roadmap tied to the P&L, from an operator who has run systems at scale.
The 90-day cadence
Assess, architect, build. In that order.
Three phases with clear exits. You know what you are getting and when, before the engagement starts.
- 01Weeks 1 to 2
Assess
We map your workflows, data, vendors, and org chart against real AI opportunity. You get a ranked list of where it pays and where it does not, in writing.
- 02Weeks 3 to 6
Architect
System design, vendor and build-vs-buy calls, governance framework, and a cost model your CFO can read. Quick wins ship inside this window, not after it.
- 03Weeks 7 to 12
Build and handoff
The roadmap moves into execution. We stay embedded through the first production releases and hand your team the runbooks to keep running it.
Every 90 days we re-scope.You either renew because the work earned it, or you walk with a roadmap your team already owns.
Talk through your first 90 daysWhat's covered
Everything a board needs signed off.
Governance, compliance, vendor decisions, and a roadmap that traces to revenue and cost, not to a trend.
Board-level reporting
A reporting format built for the boardroom, not the engineering standup: risk register, spend, and a rollback plan your board can actually evaluate.
Governance and compliance
Access controls, audit trails, data handling policy, and a compliance posture that holds up to legal and security review before it holds up to a headline.
Vendor and build-vs-buy calls
An operator's read on every vendor pitch in your inbox, and a straight answer on when to buy, when to build, and when to wait.
Roadmap tied to the P&L
Every initiative on the roadmap traces to a line on the P&L. If we cannot show you the money, it does not make the roadmap.
Who sits in the seat
Twenty years running systems at scale, not slides about them.
Micah Berkley, Brown University Computer Science, spent two decades in Site Reliability Engineering at Google, cloud architecture and machine learning at BMW of North America, and big-data marketing science at Fashion Nova before founding AI Success Partners. He has architected and shipped production platforms including Claresto, iExcel, and ClearPitch AI, and influenced more than $10M in revenue through AI strategy.
Questions
What boards ask first.
Straight answers before the retainer is signed.
An embedded senior operator inside your leadership team on a 90-day cadence. Strategy, architecture, vendor calls, governance, and board reporting, without adding a permanent executive line to payroll.
Every engagement re-scopes at day 90. You either renew because the work earned it, or you walk away with a roadmap and a team that can run it without us. No open-ended retainer by default.
Expect a standing weekly session plus ad hoc availability for vendor and architecture decisions. The goal is senior judgment on tap, not a second full-time hire's worth of your calendar.
No. We work alongside your existing leadership, bringing AI-specific strategy and architecture experience your team may not have in-house yet. Decisions and authority stay with you.
Mid-market through enterprise. Typical sponsors are the CEO, COO, or a board that needs a credible AI roadmap and someone accountable for building it correctly.
Both. The engagement runs through build and handoff, not just a slide deck. Where the scope grows beyond a 90-day embed, it converts to a Build engagement with the same team.
Next step
Get a Fractional Chief of AI at your table.
One call to map where AI pays off in your business, what it costs, and what your board needs to see. No slideware.