You know the pattern. The value creation plan is sharp, the management team agrees, and the initiatives get owners, milestones, and a board slide.
Then two quarters pass, the portfolio company is still under-resourced, and the plan you signed off on has barely moved. That gap between plan and progress is the most expensive problem you face.
The AI-enabled operating model exists to close it. It pairs operating partners, the people who set direction and own outcomes across the portfolio, with an operating platform: a team of specialists, AI-enabled technology, and proven processes that execute inside your companies alongside their management teams.
Strategy creates alignment. Execution creates results. This model is built to deliver the second part.
Key takeaways
- Your most expensive problem is the gap between a value creation plan and real progress inside a portfolio company. The operating model exists to close it.
- An operating platform adds people, AI-enabled technology, and execution on top of capital and a plan, not just recommendations.
- You set direction and own outcomes. The platform gives your operating group the capacity to deliver across the whole portfolio.
- AI is leverage that multiplies your operators. It extends your reach across more companies without scaling fund cost.
- Value creation compounds at exit: the same execution that grows the business controls EBITDA and removes diligence surprises before a sale process starts.
What is an operating platform?
An operating platform is a combination of people, AI-enabled technology, and resources that helps a company execute critical business functions and grow faster than capital alone allows.
Traditional investors provide funding, board seats, and advice. An operating platform adds the specialists, systems, and hands-on execution needed to actually implement growth initiatives across product, go-to-market, revenue operations, finance, and strategy.
Think of it as the difference between a value creation plan and a team that can run it inside your portfolio companies.
You bring the judgment and the ownership. The platform brings the horsepower. Put them together and board-approved initiatives turn into shipped product, real pipeline, and clean financials, across more companies than any operating team could cover alone.
Execution is the edge
Good value creation plans have never been easier to write. Diligence is sharper than ever, the playbooks are known, and the initiatives practically list themselves. The hard part was always the doing, and it still is.
Value creation plans stall for the same reasons across the portfolio. The portfolio company cannot hire the right specialist fast enough. Its team is already stretched running the business.
Your operating group is small, and one operating partner can only sit in so many companies at once. So the plan sits, the hold period ticks, and the value you underwrote goes unrealized. We call this the operating partner problem: the gap between what a value creation plan demands and what one senior individual can personally execute.
There is a subtler failure mode too. Teams reach for tools before problems. A portfolio company gets mandated into a platform like Clay, then lacks the clean data, the expertise, and the roadmap to make it deliver. Tools without expertise do not move the number; they add a line item and a false sense of progress.
The data backs this up. In York IE’s 2026 State of Value Creation Benchmark, produced with the Magnuson Center for Entrepreneurship at Dartmouth, only 17.9% of value creation leaders said they were very confident their team had the resources to hit its KPIs.
These teams are lean by design: 34.3% have just one or two people, and 58.2% run with fewer than six full-time employees. Yet nearly nine in ten (89.6%) still rely primarily on direct, hands-on engagement, a model that gets harder to scale with every company added.
Operating partners feel this more acutely than anyone, because they are accountable for outcomes across a whole portfolio on a clock. And the market has stopped rewarding the old shortcuts.
McKinsey studied more than 100 private equity funds and found that general partners who focus on creating value through operations earn an internal rate of return up to two to three percentage points higher than their peers.
Operational improvement, once a line in a fund pitch, is becoming the main source of returns. It is the shift defining the next era of value creation.
The lesson is simple and a little uncomfortable. Your edge is in the execution. And execution is exactly what capital and a strategy deck cannot buy on their own.
How the operating model works
The model has two parts that only work together.
The operating partner sets the direction and stay accountable for the result. You have done the job, you know what the value creation plan needs, and you own the number.
The operating platform is the team and technology that executes beside your portfolio companies: product leaders, engineers, marketers, RevOps specialists, and finance pros, backed by AI-enabled workflows and playbooks refined across thousands of engagements.
One without the other stalls. Direction with no capacity to act is just a recommendation.
Capacity with no direction is motion without progress. The magic is in the pairing, and it is what lets a lean operating group drive real change across a full portfolio instead of a handful of companies.
It is the idea behind treating the platform as an execution engine that amplifies your value creation team.
What it looks like across the portfolio
Execution is not one skill.
Every value creation plan spans functions, and the gaps differ from one portfolio company to the next. A real operating platform covers all of them, so you deploy the exact capability each company needs instead of stitching together vendors for every deal.
Research and development
In R&D, execution means helping a portfolio company build the right product faster, not just staffing it with more engineers.
It starts with product strategy that decides what actually matters, then senior engineering to ship it, AI development to build smarter, UX design that users understand without a manual, and QA that holds quality steady as the pace picks up.
The companies that stall here are rarely short on ideas. They are short on the capacity to turn a roadmap into shipped software before the thesis window closes. It also means technology modernization. Nearly every technical diligence surfaces legacy debt, from .NET 4.x platforms and VB.NET codebases to single-tenant database sprawl, and rearchitecting those systems to be AI-ready is both an EBITDA lever and multiple protection at exit.
The payoff is leverage on the plan: the roadmap advances on schedule while the portco burn rate stays flat, protecting the margin profile you underwrote.
Two things make this work in practice. First, the model is fixed capacity plus burst capacity: a stable core of full-time employees, not contractors, augmented by full-stack squads that spin up in about four weeks when a company needs to accelerate a roadmap. When a sponsor cannot wait out a six-to-eight-week planning phase, you spin up a team immediately.
Second, there is continuity from diligence into the 100-day plan. The same team that runs technical due diligence builds and executes the roadmap it recommends, so nothing is lost in translation. That permanence and depth is what turns a plan into shipped work.
Go-to-market
In GTM, execution means turning a portfolio company’s scattered activity into one engine that compounds.
Marketing creates demand, demand generation captures it, revenue operations keeps the data and process clean, and a well-run CRM ties it all together so nothing leaks between the stages.
Most portcos run these as separate efforts, then miss the growth number you built into the model. Their teams describe the symptom in their own words: a CRM that has become a burden, not a productivity tool, a process driven around the system instead of the system driving the process, and a wish for a single pane of glass.
This is where the 2026 Benchmark points hardest: 74.6% of leaders spend most of their time on GTM and RevOps, 64.2% name generating net new pipeline their top portfolio challenge, and 44.8% credit GTM with the most enterprise value created over the last two years, versus just 9.0% for cost optimization.
When the pieces operate as a single system, spend turns into measurable revenue and you get the pipeline visibility to report progress to your LPs with confidence – the ability to call a soft quarter before it happens, not after.
General and administrative
In G&A, execution means giving each portfolio company financial infrastructure that keeps pace with growth instead of lagging a quarter behind it.
That is accounting and bookkeeping done right the first time, financial reporting you can actually trust, and FP&A that turns raw numbers into decisions. It is the least glamorous part of the plan and the fastest to become a liability at diligence when a buyer starts asking questions.
Clean books and real visibility let you monitor the portfolio accurately, catch problems while they are small, and walk into an exit process without surprises, all without piling fixed overhead onto the company.
And the highest-leverage G&A work is proactive EBITDA management ahead of a potential exit: tuning cost structure, capitalization policy, and pricing and take-rate levers, not just tidying the books.
In one recent diligence-to-roadmap engagement, that work quantified roughly $1.2M of EBITDA impact over three years on a ~$970K investment, a 7.5x return; in another, a deal slipped when R&D capitalization issues hit EBITDA late in the process.
Where AI fits: leverage, not headcount
In this model, AI is leverage. It makes skilled operators faster, sharper, and able to cover more ground, exactly what you need when your operating group is small and the portfolio is not. It does not replace people.
A portco team with AI closes the books, ships campaigns, qualifies pipeline, and builds product at a pace manual work cannot touch. The judgment stays human; the throughput multiplies. For operating partners, that is the difference between touching a few companies deeply and moving the whole portfolio at once, without adding cost to the fund.
Two things separate results from noise. Foundation first: clean data is a prerequisite for AI, and you cannot run forecasting tools without proper sales stages in place.
And the buyer conversation has moved on. Portfolio leaders are past ‘what is AI’ and are now asking ‘am I behind, what are the two things I should do first, and show me how someone else did it.’
The 2026 State of Value Creation Benchmark makes the stakes plain. Generative AI is the top-ranked driver of value creation over the next three years, cited by 74.6% of leaders, ahead of macroeconomic factors.
Yet 35.8% call AI and automation their most underdeveloped capability today, and 46.3% struggle to implement it. That gap between ambition and execution is exactly what an operating platform is built to close, turning experiments into automated KPI reporting, sales forecasting, and workflows that run every day.
How York IE runs this model
This is the model York IE was built on. York IE is an investment and operating firm that combines a family of funds with a 250+ person AI-enabled operating platform, so the companies it backs get capital and the muscle to use it well.
The people doing the work are full-time York IE employees, not a rotating cast of contractors, so the depth of technical expertise compounds from one engagement to the next. And that same team carries the work from technical diligence into the 100-day plan, so the people who assess a company are the ones who build and execute its roadmap, with nothing lost in the handoff.
For operating partners, that means your operating group is no longer capped by its own headcount. York IE pairs your operating partners with a platform that executes inside your portfolio companies across product, go-to-market, revenue operations, finance, and strategy, informed by insights from thousands of engagements.
You keep the relationships, the direction, and the accountability. You gain the capacity to run your value creation plans in more companies, in parallel, without building every function in-house.
The bottom line
The firms pulling ahead are not the ones with the best decks. They are the ones that turn value creation plans into results, company after company, before the hold period runs out.
That takes more than capital and a sharp thesis. It takes execution at portfolio scale, and no operating group gets there on headcount alone.
The AI-enabled operating model gives you a way to close the gap: your direction and ownership, paired with a platform and technology that do the work across every company you own.
Get that pairing right, and execution stops being the thing that holds your returns back and starts being your edge.
Frequently asked questions
The AI-enabled operating model is an approach to building companies that pairs operating partners with an operating platform of specialists, AI-enabled technology, and proven processes. Rather than offering only capital and advice, it supplies the people and systems that execute growth initiatives across product, go-to-market, revenue operations, finance, and strategy. AI acts as leverage that increases the speed and scale of skilled operators.
A traditional venture capital firm provides funding, board guidance, and introductions, then leaves execution to the company. An operating platform adds hands-on capacity: specialists, AI-enabled workflows, and proven processes that do the work alongside your team. The two are not mutually exclusive. An investment and operating firm combines both, pairing capital with an operating platform so companies get funding and the execution resources to put that capital to work. The platform is what turns a strategy into shipped product, pipeline, and infrastructure.
Modern investors create value by improving the companies they back, not just picking them well. That means embedding operators, sharing playbooks across the portfolio, modernizing technology, and executing across functions. The shift is measurable. McKinsey found that general partners focused on operational value creation earn an internal rate of return up to two to three points higher than peers. Increasingly, returns come from what happens after the investment, through operational improvement, rather than from financial engineering or rising market multiples alone.
AI is central because it multiplies the output of skilled operators. It shortens the time to close financials, forecast, ship campaigns, qualify pipeline, and build software, while improving accuracy and visibility. In a strong operating model, AI is built into workflows rather than bolted on, so the same experienced team accomplishes more at greater scale. Used well, AI is leverage that increases speed, efficiency, and scale. It does not replace operators; it makes their judgment reach further across more of the business.
Software and AI companies moving from founder-led execution to a scalable operating model benefit most, along with growth-stage companies that need specialized expertise without building every function internally. Private equity and venture capital operating partners and value creation teams benefit too, because a platform extends their reach across an entire portfolio. Even the most experienced operator is a single person. A platform supplies the specialists, systems, and capacity to execute initiatives in parallel across multiple companies and functions.
No. An operating platform augments your team rather than replacing it. It works as an extension of your organization, supplying senior expertise and execution capacity where you have gaps or want to move faster. You keep ownership of direction and culture, while the platform adds specialists across product, go-to-market, revenue operations, finance, and strategy. That lets you access capabilities you are not ready to hire full time, and scale them up or down as priorities change, without the cost and risk of building each function in-house.
Strategy creates alignment, but execution creates results. The operating model closes the gap by attaching real capacity to the plan. Operating partners set direction and own outcomes. The platform supplies the people, AI-enabled technology, and processes that implement it across functions. Instead of a recommendation that sits in a deck, you get shipped product, predictable pipeline, and scalable infrastructure. Insights from thousands of engagements feed proven playbooks, so execution is faster and more reliable than building from scratch.
It makes exit readiness a proactive discipline instead of a last-minute scramble. An operating platform tightens the financial foundation, including clean books, a sound capitalization policy, and reporting a buyer can trust, then drives proactive EBITDA management through cost structure and pricing levers so value is visible and defensible. It also modernizes technology to remove legacy debt that can compress the multiple. The result is quantified EBITDA impact over a one-to-three-year horizon and far fewer diligence surprises when a sale process begins, protecting both price and timeline.
Burst capacity is on-demand execution that supplements a firm’s fixed team. Rather than relying only on permanent headcount, an operating platform spins up full-stack squads across product, engineering, GTM, or finance in about four weeks to accelerate a specific roadmap, then scales back when the work is done. For a value creation team, it means you can move on a portfolio company immediately instead of waiting out a long planning phase or a multi-month hire, and you add execution capacity without adding fixed cost to the fund.
