AI and data advisory for PE-backed and owner-led companies

YOUR BUSINESS RUNS ON WHAT NOBODY WROTE DOWN.

Why a price gets held. Which exception matters. Who to call when the system is wrong. That knowledge lives in a few people's heads. AI can't use what it can't see.

GITLAI captures that knowledge, keeps it current, and puts AI to work on it, inside your team.

Start with Phase One
Fixed fee. Weeks, not quarters. Working proof in your environment. You keep everything either way.
See how an engagement works →
The Readiness Gap

The gap is not the technology.

The engines are ready. The organizations are not. And the money is already out the door: most CEOs can't yet point to revenue gained or costs cut from AI. Read the numbers together and the story is simple.

62%
Large US companies building or deploying AI agents, up from 53% last quarter
25% are already building multi-agent systems.
Source: KPMG AI Quarterly Pulse Survey, Q3 2026, September 2026
12%
Organizations that consistently measure AI value against cost, company-wide
Among organizations with established ROI, it's 48%. 55% now run a formal harness layer around their AI.
Source: KPMG Global AI Pulse Survey, Q3 2026, September 2026
5 to 15%
EBITA improvement KPMG sees from AI-driven process optimization in PE portfolio companies
The gains come from wiring AI into high-frequency processes and value creation plans, not from running more pilots.
Source: KPMG, via Private Equity International, September 2026
39%
CEOs who say AI has raised revenue, cut costs, or both, up from about a third
16% saw a negative impact, or saw it get worse.
Source: PwC CEO Survey Snapshot, August 2026
THE READINESS GAP
The missing piece

AI GETS IT WRONG WITHOUT CONTEXT.

57%
Enterprises that traced a wrong AI agent answer to missing or inconsistent business context, within the past six months.
Source: VentureBeat, VB Pulse survey of 101 enterprises, June 2026 (published July 2026)
72%
Leaders piloting agentic AI who say their organization lacks unified, accessible data. Only 21% say their business processes are ready.
Source: Deloitte, agentic AI survey of 501 U.S. leaders, August 2026

THE MODEL IS RENTED. YOUR CONTEXT ISN'T.

Every competitor can buy the same AI model you can. What they can't buy is how your business actually runs.

That's context: the knowledge that lives only in your company, written down, curated, and kept current.

Without it, AI guesses. With it, AI works from what your best people know.

Vendors can sell you horsepower. They cannot sell you a driver who knows your roads. The driver already works for you.
The Method

CONTEXT FIRST. THE JOB SECOND. PROOF BEFORE PRODUCTION.

01

Context.

We capture how the work is actually done. Your people narrate their work as they do it, in recorded sessions. Each night we review the recordings and send back what we saw for correction. Decisions nobody wrote down become a log, then a rulebook.

02

The job.

Once the context exists, we write the job description: what AI does, who supervises it, how it's scored, and where it stops. Software is installed. AI is employed.

03

Proof.

A working proof in your environment, tested against the job description before anyone relies on it.

We use AI to find the problem before deciding whether AI is the solution.

CONTEXT GOES STALE. SOMEONE HAS TO KEEP IT.

People leave. Prices change. Systems get patched. Context captured once starts going stale the next day.

We keep it current every month. Your people, new and old, and your agents, work from what's true now.

The offer

CAPTURE AND KEEP.

01

Capture. It starts with Phase One: about 30 days, fixed fee.

  • Align with the owners and leaders on what matters.
  • Capture the work with the people who run it.
  • Map your data and your key-person risk.
  • Build one working proof in an environment you own.
  • Hand over a sequenced roadmap your team can execute, with or without us.
02

Keep. Monthly.

We keep your context current, review the logs, tune what's running, and bring you what changed.

03

Build. When the roadmap calls for it.

We scope it with you and bring in a build partner when the work needs one.

And if the proof does not earn the next phase, you keep everything you paid for.
Start with Phase One.
Fixed fee. Weeks, not quarters. Working proof in your environment. You keep everything either way.
Proof

WHAT THIS LOOKED LIKE AT A PE-BACKED OPERATING COMPANY

  • A working draft of every Phase One deliverable was in the leadership team's hands on the day of kickoff.
  • An eight-person leadership team surfaced eleven roadmap candidates in one facilitated hour.
  • People in key roles narrated their work as they performed it and their decisions as they made them. Those recordings became a decision log and, over time, a working rulebook.
  • Every code base the company runs on was reviewed, and every workflow was documented.
  • The captured context was complete enough for a second AI model to pick up the engagement.
  • The context turned hours of work across a team of three into seconds every week, giving them back the time they needed to increase production.
Who It's For

If you run a company

capability that stays instead of another subscription.

Start with Phase One →

If you hold the portfolio

one playbook instead of ten experiments.

Talk portfolio →
The whitepaper

WHAT NOBODY WROTE DOWN.

How to capture what your people know, why it goes stale, and how to keep it current. Free PDF, no form.

Read the whitepaper →
20+ production AI applications shipped in one year, with full adoption.
Helped lead a staffing company from $120M to $1.2B.
Two decades building growth systems inside private companies.