Fractional AI Officer+ Revenue Architecture
Your team is running AI through your revenue engine. Nobody's driving.
Your team adopted AI months ago — individually, informally, ungoverned. Whether that compounds revenue or risk depends on whether anyone owns it. I'm John Utley. I provide fractional Chief AI Officer services for B2B SaaS at $10M–$75M ARR, for a fraction of a $400K hire.

Twenty years building revenue systems inside
The Problem
Your revenue engine wasn't designed.
It accumulated.
It never happens on purpose. Each purchase solved that quarter's fire. Nobody ever stepped back and designed the whole thing. Here is how the pile forms.
The fire starts.
At $2M ARR you needed a CRM. You bought one. It solved the immediate problem and became the foundation everything else would bolt onto, whether or not it was the right foundation.
You solved a problem. You inherited a foundation.
The pattern sets.
Outreach tooling at $5M. Enrichment, intent data, a CS platform, a BI layer on the way to $20M. Each purchase solved that quarter's fire. Nobody stepped back to design the whole thing.
The stack grew. Nobody designed it.
The pile meets AI.
AI is the newest layer. Except this one reads your customer data, writes to your prospects, and makes decisions. The same habit that created tool sprawl at $10M now creates exposure at $30M.
The habit that stacked tools now ships decisions.
The Signal Stack
Forty dashboards. No idea what to do Monday morning.
You don't have a data problem. You have a filter problem. AI has made this worse, not better: it will happily surface fifty "patterns" in your revenue data every week, most of them noise wearing a costume. Acting on noise is how companies churn through pricing changes, territory redesigns, and rep firings that fix nothing.
Three signals, not fifty charts
"Win rates on deals that touched the new pricing page are down 11 points while everything else held steady. Here's the fix." That's a signal. You can act on it Tuesday.
A number your board can trust
Bull, base, and bear scenarios instead of one forecast that's quietly a guess. When the board asks "what happens if the pipeline slips two weeks," you have the answer on the same slide.
Plans sized to conditions
Before you fund a new market, segment, or headcount plan, we pressure-test it against the environment you're actually selling into. The coverage ratio that worked in easy money misses badly in a tightening cycle.
It arrives as a recurring Signal Briefing: one page, three signals, each with a recommended move attached, written so your board can read it without a translator.
AI finds the patterns. Judgment picks the three that matter.
Revenue Intelligence Command Center
Your pipeline is not a list. It is a network.
And the list you manage it with is throwing away the part that predicts the quarter.
Start from first principles. A pipeline report is a network crushed into rows. The moment you flatten it, you lose the only thing that forecasts the number: how everything connects. A champion goes quiet. Usage dips. A competitor gets named on a call. In a spreadsheet those are three unrelated cells. In reality they are one pattern, and the pattern is the risk.
The command center rebuilds the shape. It wires your data, your signals, your RevOps motion, and the AI reading all of it into one live graph. Agentic AI runs pattern recognition across every connection, surfaces the links a spreadsheet buries, and turns raw signal into the outputs that run the quarter: the forecast call, the board deck, the next move.
See the shape. Find the pattern. Sharpen the call.
The Memory Layer
Most AI forgets by Monday. Yours never does.
Every AI tool your team runs wakes up with amnesia. It answers the prompt, then forgets the deal, the account, the call you just finished. It never actually learns your business. That is why most pilots stall. Intelligence with no memory is just a faster way to start over.
So I gave the agents a brain: a private Obsidian vault where everything your revenue engine knows is written down, linked, and remembered. Your agents reason over it instead of starting from zero. It solves the AI memory problem for good, and the longer it runs, the sharper it gets.
01 / The Vault
A brain your agents never lose
Every deal, call transcript, marketing touch, and sentiment shift lives in one durable Obsidian knowledge vault. Your agents read from it and write back to it. Nothing resets between sessions. Nothing walks out the door when a rep quits.
02 / Pattern Recognition
Signals no human has time to connect
Agentic AI reads across the whole vault at once: sales data, marketing data, buyer sentiment, and meeting transcripts. It finds the patterns buried between systems. And because the memory keeps growing, the picture sharpens every single week.
03 / Inference
See the risk before it lands
A brain that remembers can reason about what happens next. You stop reading reports on what already went wrong. You start catching it early: the renewal going quietly cold, the champion who stopped replying, the number propped up by one shaky deal.
Actionable signals tell you what is happening. A memory that compounds tells you what is about to. That is the difference between managing the number and seeing it coming.
Most revenue teams have dashboards. Almost none have a brain.
The Engagement
One seat.
Three phases.
Your call after 90 days.
Start here
Diagnostic Sprint
$2,500 fixed. Two weeks. Credited in full if we continue. You keep everything either way.
First 30 days
Audit & Map
Every lever ranked. One Architecture Map. Board-ready.
Days 30–90
Fix the Number
Two highest-leverage fixes shipped. Agents running. Governance documented.
After 90 days
Your call.
Stay. Scale me to advisory. Take the playbook and run. No lock-in.
Start here if you're not ready to talk
How accumulated is your engine?
Twelve questions, three minutes, instant results. You get a score on the Accumulated-to-Architected scale and the three fixes that will move your number fastest. Email only, no call required.
Start the Free AuditCommon Questions
What operators ask first.
Ready to Start?
Book 15 minutes.
Come with your messiest problem. You leave with at least one thing you can fix this quarter, whether or not we ever work together.
Built for B2B CEOs and CROs, $10M–$75M ARR. Pre-revenue or enterprise with a full RevOps team? The free audit is a better starting point.
