AI strategy,working in every company.For private equity funds: a Fractional AI Officer sets it with each management team, builds it, and takes what works to the next company.
Every company you own is trying AI its own way. HAIBRID Consulting gives the portfolio one accountable leader and one approach, and builds inside each company against a number in its value-creation plan.
You read what AI moved in every company, side by side, and every build belongs to the company that runs it, through to the sale.
One approach for the portfolioFour things are set once, at the fund, and hold in every company.
Your companies differ in market, software and people. Holding these four in common is what lets you set one company beside another, and what makes the second build faster than the first.
A drawing on two levels. Above, a rail marked the fund holds four things: a ranked plan, a rulebook, a gauge with a before and an after mark, and a shelf of pattern cards. Below stand four companies of different shapes, lettered A to D. A line drops from each of the four things to every company, and a small copy of each lands inside every one.
1One plan, ranked by your value-creation levers
Every company’s AI opportunities sit on one list: the work still done by hand, the pilots already running, the tools already bought. Each line is ranked by what it would move in that company’s value-creation plan (margin, cash, growth, capacity) and by what it takes to deliver. The fund and each management team read the same list.
2One rulebook for AI
The fund approves one set of rules: the AI tools and agents a company may run, the systems and data each one may touch, and the spending limit on each. An agent is AI software that acts by itself inside those limits. Each board adopts the rulebook instead of writing its own.
3One way of measuring
Every build is tied to one number from the company’s own records, measured before anything changes and read again sixty days after hand-over, the same way in every company.
4One library of what worked
A build that proves itself is kept as a pattern: the design, the checks, the test set and the hand-over record. The next company with the same job starts from it, not from a blank page.
One person holds all four: a Fractional AI Officer, your ongoing, part-time AI leader at the fund’s table and at each company’s.
How it lands in a companyFollow one line of the plan into the first company, then into the second.
The line is the same in both: read the paperwork that comes back from the work, and send the bill the same day.
Example · One line of the plan
Company A, a home-services platform
Company B, a medical-billing company
The fund's rail above holds the plan, with its first line lit, a library of patterns, and a ledger headed the fund sees. Below, Company A and Company B stand side by side with a wall between them marked no data crosses. The line drops into Company A and an owner is named. The office's way and the build run on the same tickets. A ticket passes four stations, AI, AI, rule, rule, and comes out an invoice, with one ticket sent to a person. A key and a signed record settle in Company A, with a sixty-day watch, and its pattern goes to the library. A copy of the pattern, and nothing else, crosses the wall into Company B, where a visit record becomes a claim. At each of the three steps a line rises to the ledger, which gains one line. At the end the plan's three other lines light.
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1Management picks the first build and sees it work
- In the company
- The officer sits down with Company A’s chief executive and finance lead and the ranked list for their business. Technicians’ tickets come back late and half filled in, and invoices go out a week after the work, so that is where they start, with a named owner for the build. In the Proof Sprint, our short paid first phase, we measure how billing runs today and run a first build on real tickets beside the office’s way, so management compares the same jobs both ways.
- The fund sees
- The line, its owner and the number it is judged on, days from job closed to invoice sent, measured at the start.
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2It is built into the way the company runs, and the company owns it
- In the company
- AI reads each ticket however it arrives and checks it against the estimate and the price list. Fixed rules build the invoice and post it to the books, and a doubtful ticket goes to a person with the reason attached. The office keeps the software it knows. Company A gets the build working and documented, with the code, a written record of how billing ran before and how it runs now, and a trained owner. We keep watch for sixty days, and nothing sits on a platform of ours.
- The fund sees
- The build live, a plain record of which steps are rules and which are AI, and the number read again at day sixty.
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3The pattern goes to the next company
- In the company
- Company B is a medical-billing company on different software, with a different document: the visit records its client practices send in, each one a claim to key and check. The job has the same shape, so we start from Company A’s pattern and rebuild it inside Company B’s systems with Company B’s management. The pattern crosses. The data never does: nothing in Company A’s records reaches Company B, or any other company you own.
- The fund sees
- The same kind of number in a second company, days from visit to claim sent, reached sooner than the first.
That is one line of the plan in two companies.
The plan carries a line like it wherever your companies still work by hand: every inquiry and open quote followed up, an add-on’s systems and records brought across in the 100-day plan, one definition for each metric in the board pack.
What you readOne page a quarter shows what AI moved in every company.
Each column is one company: the job that changed, the number it is judged on, who owns it and what it moved. “AI adoption” is never the measure.
| Example | ACompany AHome services | BCompany BMedical billing | CCompany CDental group | DCompany DInsurance agency |
|---|---|---|---|---|
| Build | Tickets read, billed the same day | Visit records keyed and checked | Insurance verification | Certificates and renewals |
| Status | Handed over | Proof Sprint | Next on the plan | Plan set |
| Judged on | Days, job closed to invoice sent | Days, visit to claim sent | To be agreed with management | To be agreed with management |
| At the start | 7 | 5 | Not yet due | Not yet due |
| At day sixty | 1 | Not yet due | Not yet due | Not yet due |
| Owner in the company | M.R.Controller | J.T.Operations lead | Not yet named | Not yet named |
| Built from | New | Company A’s pattern | Not yet due | Not yet due |
AExample · Company A · Home services
- Build
- Tickets read, billed the same day
- Status
- Handed over
- Judged on
- Days, job closed to invoice sent
- At the start
- 7
- At day sixty
- 1
- Owner in the company
- M.R.Controller
- Built from
- New
BExample · Company B · Medical billing
- Build
- Visit records keyed and checked
- Status
- Proof Sprint
- Judged on
- Days, visit to claim sent
- At the start
- 5
- At day sixty
- Not yet due
- Owner in the company
- J.T.Operations lead
- Built from
- Company A’s pattern
CExample · Company C · Dental group
- Build
- Insurance verification
- Status
- Next on the plan
- Judged on
- To be agreed with management
DExample · Company D · Insurance agency
- Build
- Certificates and renewals
- Status
- Plan set
- Judged on
- To be agreed with management
- Rulebook adopted by all four boards
- One pattern in the library, in use at two companies
On your calendar
The read lands before your portfolio review and before each company’s board meeting. Every one is a decision point: continue, change the order, or stop.
Ready for a buyer
Each company holds the record of every build: how the work ran before, how it runs now, what it moved and who owns it. At exit it goes into the data room as evidence of how the margin was made.
In FTI Consulting’s 2026 survey of 555 senior private-equity leaders (self-reported), 62% named margin expansion the most critical factor at exit, up from 46% a year earlier, while the share naming AI maturity fell from 59% to 12%. Buyers expect AI to show up in the margin.
Your companies’ marketsSend each management team the page for its own market.
This page is the fund’s view. Each market’s page follows one piece of work step by step, in that market’s own words, records and software, and makes a good read before the first call.
A company in another market follows the same approach. Tell us the market on the call.
Run a company a fund owns? Start with your market’s page.
Why HAIBRID, for a fundWe know a sponsor’s plan from inside a company, and we have already mapped your market.
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Our founder
On the company side of a sponsor’s plan
He was lead finance on a savings mandate in a sponsor-driven restructuring ahead of a public offering. At a Fortune 250 enterprise he set up the central analytics team and its one standard, and the platform grew from five departments in 2015 to more than 12,000 users by 2019.
About the founder -
One of ours · The fund’s own desk
Private equity, mapped
We built a system that finds, reads and scores the companies in a market, then pointed it at private equity. About half of the first build carried over and it was running within weeks. It catalogued 1,477 firms, 3,085 deals and 2,818 portfolio companies, and sorted each day’s news into acquisitions, fund raises, exits and leadership changes. Point it at a sector and your deal team gets every target scored against your thesis.
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One of ours · The rulebook
Our own company, on one rulebook
We run three separate lead-generation operations in three markets on one system of AI agents and one set of rules. It is the approach on this page, working every day.
What sponsors ask us
“Is this another pilot that lives in one company’s stack?”
No. The first build is judged on a number in that company’s plan, handed over as a working system the company owns, and the next company starts from its pattern.
“We have operating partners. Where does the officer sit?”
Beside them. Your operating partners own the value-creation plan and the relationship with each management team. The officer owns the AI line in that plan: sets it, gets it built and reports on it. Your partners walk into the board meeting with a working result.
“We already rolled out an AI assistant to every company.”
Keep it, under the rulebook. An assistant helps one person when they ask. The plan goes after whole jobs, the billing, the follow-up, the month-end close, because that is where a number in your plan moves.
“Can one officer carry a whole portfolio?”
The approach covers every company from the start: the plan, the rulebook and the read. One officer answers for all of it. HAIBRID delivers the builds in the order the plan sets, and each finished pattern shortens the next.
“Who owns it when we sell the company?”
The company does: the code, the configuration, the test records and the written process. It transfers with the business and needs nothing from us or from the fund to keep running. Software bought from a vendor stays licensed to the company.
“Will a number that reaches our investors come out of a model?”
No. Every reported number is computed by fixed rules from the company’s own books, the same way every time. AI’s job is to tell you what moved and point to the rows behind it.
“How do we stop if it is not working?”
It starts with one company and a Proof Sprint, which has a defined end and a build you can judge before anything else is committed. Whatever has been built stays with the companies.
“Who pays, the fund or the company?”
Either. Each build is priced against the number it is judged on in that company’s plan, and the ongoing leadership is a retainer. We set it up at the fund, at the companies, or split, whichever fits how you fund operating work.
Name the first company and the number it is judged on.
Bring the value-creation plan to the first call, and we will find the line worth building first and the person in the company who owns it. Or start with the free Operations X-ray on one company.
Eric Lopez · 30 min
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