Written by Jordyn Geiger, Growth Development Analyst
How MILL5 Is Building a PE-Native Value Creation System for the Middle Market
Every private equity firm says it wants operational value creation. Far fewer have a repeatable system for finding EBITDA that is already sitting inside the business – buried in technology spend, fragmented operations, disconnected data, and manual workflows.
That is the gap MILL5 has been working on with its clients.
Over the last year and a half, specifically in lower-middle-market and middle-market settings, MILL5 has been studying, refining, and pressure-testing an approach built in private equity terms: value-at-stake, 100-day capture, board credibility, and enterprise value impact. The thesis is simple:
There is hidden EBITDA trapped inside technology spend, fragmented operations, disconnected data, and manual workflows – and it can often be captured quickly without disrupting the business.
The broader market is now moving in a similar direction. Recently, Vista Equity Partners signed a new multiyear Google Cloud agreement focusing on agentic AI across its software portfolio, this coming just one week after Thoma Bravo announced a similar arrangement. Official releases from Vista and Thoma Bravo emphasize streamlined access to Google Cloud’s AI stack, forward-deployed engineering support, and portfolio-wide routes to market. (Vista Equity Partners)
That matters. It confirms that hyperscalers now see private equity as a strategic channel for AI-led value creation. But it also highlights that hyperscalers are only now formalizing this motion publicly, while MILL5 has been delivering and building the underlying capability stack for years across AI, IoT/Edge, cloud optimization, and data platforms – with examples spanning AI model integration from early 2010s, applied AI and IoT work through 2025, and explicit PE-focused EBITDA content, accelerators, and playbooks in 2025 and 2026. (MILL5)
And that is the distinction.
MILL5 is not pitching technology services to PE firms. We are presenting a PE-native value creation system - one designed to identify, quantify, and capture EBITDA inside portfolio companies using four practical levers: Agentic AI & AI, FinOps and Workload Consolidation, IoT & Edge, and Data & Analytics.
Start with the portfolio company, not the platform
The work does not begin with a tool, a cloud bill, or a model demo.
It begins with the portfolio company’s business model, acquisition history, operating footprint, likely pain points, and sponsor thesis. That is where hidden EBITDA starts to show itself. A multi-site manufacturer with legacy OT and uneven plant practices will not have the same value map as a field-services business, a specialty distributor, a financial workflow platform, or a software company grown through add-ons. The analysis must start where private equity starts: with how the business makes money, where it leaks money, and what the sponsor believed it could become. Our PE playbook makes the same point in practical terms: lower-middle-market value creation must be repeatable, lightweight, and credible at the board level, not a heavyweight transformation program that overwhelms management. (MILL5)
That framing is also why this approach works for both target audiences.
For GPs, Operating Partners, Partners, MDs, CFOs, and PE executives, this is a board-level value creation lens: Where is the EBITDA? How fast can it be captured? How defensible is it? For analysts and portfolio operations teams, it is an execution system: What do we baseline? What do we validate? Which workstreams move first? Which assumptions hold up?
The four-lever lens
1) Agentic AI & AI
The first lever is not “do something with AI.” It is use AI where the economics are visible.
MILL5’s PE-focused AI approach is clear on that point: the value is not in pilots or novelty, but in production-ready use cases that improve underwriting, claims, revenue cycle management, predictive maintenance, and operational efficiency across portfolio companies. Our broader Strategy / Build / Operate services make the same case from the delivery side: AI only becomes valuable when it is embedded into real workflows, governed responsibly, and monitored in production so quality, latency, and costs do not silently drift. (MILL5)
In PE terms, that means asking questions a CFO can recognize. Can AI compress cycle time? Release labor capacity? Improve conversion? Reduce service costs? Increase throughput? Protect margin? If it cannot be translated into one of those categories, it may be interesting – but it is not yet value creation.
2) FinOps and workload consolidation
This is often the fastest path to CFO-recognizable EBITDA.
MILL5’s portfolio-wide EBITDA playbook describes workload consolidation plus disciplined FinOps as one of the most scalable EBITDA levers for lower-middle-market funds. The logic is simple: technology spend expands quietly in the background, vendor renewals happen with weak ownership, tooling proliferates, and cloud and infrastructure costs rise without a consistent operating system for visibility, control, and optimization. Our FinOps accelerator adds the execution layer: automated analysis, anomaly detection, prioritized optimization, continuous monitoring, and measurable savings in weeks, not months. (MILL5)
This is not about forcing every portfolio company onto identical systems. It is about standardizing the building blocks that create financial discipline, consolidating selectively where leverage is real, and eliminating cost leakage without disrupting the business. Our FinOps accelerator is designed for zero disruption to production, can deploy in minutes, and helped one global manufacturing enterprise save $400,000 a year within a few weeks. (MILL5)
3) IoT & Edge
For industrial, healthcare, logistics, utilities, and other asset-heavy portfolio companies, EBITDA is often hiding at the edge.
Our IoT and connected-systems positioning is explicitly outcome-driven: connect devices, edge environments, and enterprise systems in ways that improve uptime, asset utilization, predictive maintenance, and operational visibility. Its applied industrial AI content extends that same logic into manufacturing, where the highest returns come not from AI experimentation but from deeply integrating sensor data, planning signals, and machine learning into operating decisions. (MILL5)
Our work with Olympus, solidifies that point. MILL5 integrated AI, ML, IoT software, cloud resources, and edge analysis into Olympus’ smart operating room environment, reduced operating room turnover time by 30%, and helped reduce operating costs by millions by moving device data to Azure while keeping sensitive analysis at the edge where needed. (MILL5)
4) Data & Analytics
The majority of portfolio companies do not lack data. They lack trusted, connected, usable data.
Our Data & AI practice describes the recurring pattern: fragmented data across legacy and cloud platforms, unclear ownership, slow or unreliable analytics environments, and AI initiatives that stall because the data foundation is weak. Our April 2026 article on credit workflows applies the same lesson in a regulated financial setting, where AI systems only become useful when they operate on trusted, permissioned data with auditability and traceability built in. (MILL5)
This is why data work must be framed as value creation infrastructure, not as a side project. Better data improves forecasting, reporting, pricing, service visibility, and decision speed. It also makes the other three levers easier to scale.
The test: Can the CFO recognize the value?
This is where many transformation narratives break down.
Our PE lens is disciplined: every initiative has to move from Identified >> Implemented >> Realized >> EBITDA-recognizable. Our published playbook frames the operating sequence in similar terms – visibility, then control, then optimization – because savings only matter when they stop leaking back out and become credible enough for board reporting and finance validation. (MILL5)
That means every idea needs to be translated into CFO language:
- annualized run-rate cost reduction
- labor capacity released or redeployed
- downtime reduced
- margin leakage stopped
- revenue enabled through faster cycle times or better conversion
- working capital improved
- operating discipline strengthened in ways that support a stronger exit narrative
That is the difference between “technology opportunity” and “private equity value creation.”
A 100-day system built for the PE lifecycle
The best operating models do not fight the PE clock. They work alongside it.
MILL5’s structure fits the lifecycle PE teams already know:
- Weeks 0–2: Baseline
- Build the fact base fast: spend, vendors, assets, workflows, data fragmentation, ownership gaps, and value-at-stake.
- Days 0–60: Quick Wins
- Go after lower-disruption capture first: rightsizing, obvious FinOps moves, duplicate-tool cleanup, workflow compression, targeted automation, and lighthouse use cases.
- Days 60–180: Structural Moves
- Push into the durable gains: workload consolidation, data-platform repair, architecture simplification, LLMOps / MLOps foundations, AI operating controls, edge rollout patterns, and governance that scales.
That maps cleanly onto the lifecycle PE professionals already manage every day:
Diligence / Baseline >> 100-Day Plan >> Pilot / Lighthouse >> Scale Across Portfolio >> Run-State Governance >> Exit Narrative.
Why Strategy, Build, and Operate matters
This is also why MILL5’s three towers are so crucial.
Strategy is where the value thesis gets built: business outcomes, use-case prioritization, ROI logic, architecture decisions, and risk alignment. Our Strategy practice position this as aligning business outcomes with technology and turning data and AI into measurable business results. (MILL5)
Build is where value moves from theory into implementation: AI/ML deployment, data infrastructure, cloud enablement, IoT-connected systems, integrations, and MLOps pipelines. Our Build practice is explicit about engineering production-grade systems rather than collecting proofs of concept. (MILL5)
Operate is what keeps savings and performance from degrading after go-live: CloudOps, DevOps, DataOps, MLOps, drift detection, observability, patching, and ongoing cost governance. Our Operate practice makes that link directly, emphasizing 24/7 managed support, proactive monitoring, drift detection, and continuous optimization across cloud, data, and AI systems. (MILL5)
Taken together, Strategy / Build / Operate is not just a service taxonomy. It is how identified value becomes implemented, realized, and durable.
A PE-native handbook, not a generic deck
A real PE motion also needs PE-native materials.
That is why our model produces more than strategy slides. It produces the working handbook PE teams truly use: 1-page executive briefs, portfolio-company tear sheets, AI / IoT / Data / FinOps opportunity maps, 100-day value creation plans, board-style summaries, EBITDA bridge and value-at-stake models, and operating partner discussion memos.
It also includes tailored accelerators designed to shorten time-to-value: cost and workload optimization, AI drift monitoring, AI / LLM / ML Ops pipelines, and operating patterns that move companies from pilot activity to governed production systems. MILL5’s public materials already show this logic in practice through its FinOps accelerator, Build capabilities in MLOps, and Operate capabilities in drift detection, ongoing monitoring, and cost governance. (MILL5)
The real opportunity
Private equity does not need more disconnected technology projects.
It needs a repeatable system for finding EBITDA that is already hiding inside the portfolio – then capturing it in a way the CFO can validate, the board can understand, the operating team can execute, and the next buyer can respect.
That is the work MILL5 has been shaping.
Hyperscalers are now entering the PE conversation in a visible way. But platforms alone do not create enterprise value. What matters is whether a fund has a practical, PE-native system to identify the right levers, quantify the value-at-stake, capture the first wins inside 100 days, scale the gains across the portfolio, and convert all of it into a stronger hold story and a stronger exit story. The public moves by Vista and Thoma Bravo show where the market is heading. Our recent work shows what it looks like to operationalize that direction for the middle market. (Vista Equity Partners)
If you are a GP, Operating Partner, CFO, or portfolio operations leader, the question is no longer whether AI, FinOps, IoT/Edge, and data can create value. The question is whether you have a system to turn that value into recognized EBITDA. MILL5 does. For more information, contact Jordyn Geiger, Growth Development Analyst at jordyng@mill5.com.
