The largest sponsors built in-house AI teams for their portfolios. A middle-market firm cannot hire that bench, and does not need to. Fleet puts a senior operator across your firm and your portfolio companies, with a program that makes what works in one company travel to the rest.
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Take the 5-minute AI readiness assessment →In one 2025 survey of 400 sponsors and portfolio-company CFOs, 98 percent of sponsors mandated AI adoption while 68 percent of CFOs said they did not know where to start. Only 7 percent of portfolio companies run AI at enterprise scale. The board call keeps asking. The answer keeps slipping a quarter. Meanwhile a portco finds something that works, and it stays there: without a mechanism to move wins between companies, every portfolio company starts from zero and the portfolio pays for the same lesson eight times.
AI diligence is now a standard product on the buy side, and the AI story cannot be written in the last six months of the hold. Research across hundreds of PE-backed companies shows the valuation spread between the most and least AI-mature companies is wide and growing. The portfolios that move early are not just running better companies. They are building the exit narrative and the LP story at the same time.
Both doors open onto the same program, and most firms end up using both. What travels between them is the point: a pattern library and a benchmark that make every win portable.
AI across the deal team's own workflows: sourcing, CIM triage, diligence prep, board reporting, LP materials. A ranked opportunity map and a 90-day plan the partners execute or kill item by item.
A portfolio baseline finds the two or three companies where AI pays fastest. Assessment sprints run inside those companies, and an eight-seat CEO cohort puts working agents against each chief executive's real workflows in four weeks.
Every agent and workflow built anywhere in the relationship is documented as a reusable pattern: what it does, what it needs, what it returned. Quarterly portfolio sessions teach the newest patterns live.
A twice-yearly read on where every portfolio company sits against the portfolio and the market. Feeds the AI story your next LP meeting and your next exit process will both ask for.
If more than one or two of these feel familiar, the conversation is worth having.
The investment committee and your LPs are asking what the AI plan is, and there is no bench to execute it
You are raising within 24 months and the annual meeting needs an AI story built on real portfolio activity
Exits are planned in the next year or two, and the buyer's AI diligence will land on your portfolio companies
At least one portfolio company is already experimenting with AI, and nothing it learns travels to the others
A partner is personally driving the AI agenda because nobody else will, and adoption stalled after the lunch-and-learn
Partner interviews and a workflow map of the deal cycle, plus a portfolio heat map: activity, data readiness, exit timing. The output is a ranked opportunity brief with a realistic-now versus needs-foundation read. Fixed scope, fixed fee, and worth having even if it goes no further.
Assessment sprints run inside the two or three priority portfolio companies the baseline surfaced. The eight-seat CEO cohort is seated and running, with each chief executive building agents against their own work. The first patterns are documented as the library takes shape.
The cohort completes with agents running unattended at every seat. The first quarterly portfolio session is on the calendar, and benchmark v1 shows where each company sits and what moves next. From here the program runs on a quarterly rhythm.
AI is the fourth technology wave we have led through, after the internet, cloud, and data. We know which vendor promises survive contact with reality and where the real unlocks are.
We are not a reseller and have no partnership quotas. Tool choices serve the portfolio, not a contract, and every recommendation is scoped on its own merits.
Strong Tide does not sell implementation headcount, so the recommendation is never shaped by what a bench needs to bill. When a build is worth doing, it is scoped on its own merits and the portfolio company owns the result.
The operating partner sets the objectives. Fleet brings the AI execution layer: the assessments, the cohort, the patterns, the benchmark. Reporting maps to the GP and LP narrative from day one.
The closest public example of Fleet's agentic side is a PE-backed portfolio company. See the case studies → for the shape of the work, then bring the questions to the call.
If you don't see yours here, the 20-minute call is the fastest way to get specifics for your firm and your portfolio.
The 20-minute call works for an operating partner evaluating a portfolio program or a managing partner who wants the firm side first. A two-week assessment is the stage gate for everything else.