PE PREP
Private Equity in Trade Contracting: How to Prep Your Ops Stack for Acquisition
2026-05-28 · 11 min read · By Jason Osajima
Private equity is in trade contracting and isn't leaving. Wrench Group, Apex Service Partners, Redwood Services, Service Champions, and a dozen smaller platforms are all actively acquiring HVAC, electrical, and plumbing shops in the $5-30M range. If you've been around 10+ years and built something real, you'll get the calls. Some of you already have.
The valuation gap between top-quartile and bottom-quartile sellers in this market is enormous. A clean shop with documented ops can go for 6-8x adjusted EBITDA. A messy shop with owner-dependent operations might struggle to clear 3x. The work to bridge that gap takes 12-18 months — and the AI ops side of it is increasingly what separates the two.
Here's how to prep your ops stack for PE acquisition in 2026, even if you're not actively looking to sell.
What PE actually buys
PE doesn't buy a contractor. PE buys a platform — something they can roll up into. They're looking for:
- Predictable EBITDA. Not a record year. A consistent record across 3-5 years.
- Owner-independent operations. If the business fails when you walk away, they discount heavily.
- Standardized systems. If they can't integrate you into their playbook, the deal is harder.
- Clean data. Job-level margin, customer LTV, retention rates that survive due diligence.
- Growth thesis. A clear story for how revenue grows under PE ownership.
AI ops infrastructure touches four of those five. Build it, and you're materially more attractive.
The eight ops stack elements PE looks for
| Element | Why PE cares | Time to build |
|---|---|---|
| Single FSM platform (ServiceTitan / FieldEdge) | Integration baseline | 6 months |
| Standardized chart of accounts | QofE survives | 2-3 months |
| Job-level margin reporting | Proves the EBITDA story | 3 months |
| AI voice agent for after-hours | Shows ops sophistication | 2 months |
| AR automation | Reduces working capital need | 1 month |
| AI ops dashboard with weekly signals | Reduces key-person risk on you | 2 months |
| Documented SOPs for top 20 workflows | Owner-independence proof | 3-4 months |
| Customer retention metrics | Growth thesis support | Ongoing |
The EBITDA multiple bridge
Without AI ops infrastructure, you're probably looking at 4-5x adjusted EBITDA. With the elements above documented and running, the same business can clear 6-7x. On a $3M EBITDA shop, that's a $6-9M valuation delta. The math for spending 12-18 months prepping is easy.
Per BDO's 2026 services M&A report, mid-market HVAC and electrical deals with documented AI ops infrastructure traded at a median 6.4x adjusted EBITDA, versus 4.7x for comparable shops without. The gap is real and getting wider.
Step 1: Get on ServiceTitan or equivalent
If you're still on QuickBooks plus spreadsheets, that's the first move. PE acquirers expect ServiceTitan, FieldEdge, or Service Fusion. If you're on something niche or homegrown, expect to either migrate during diligence (painful) or take a discount.
See our ServiceTitan alternatives review for the platform decision.
Step 2: Clean up job costing
The fastest way to scare a PE buyer is to show them job margin reports that don't reconcile with the P&L. Get your job costing tight. Every job has accurate labor hours, accurate materials, accurate overhead allocation. This usually requires 60-90 days of cleanup.
Once clean, the job-level margin reporting becomes one of your strongest diligence assets. PE buyers can see exactly where your margin comes from and what they could improve.
Step 3: Deploy AI ops layer
AI voice agent (Avoca or similar) for after-hours. AI ops dashboard for cross-functional signal monitoring. AR automation for working capital discipline. The full stack from our 7-step AI implementation playbook.
Why this matters for PE: it demonstrates two things. First, that the business is running on sophisticated systems, not on owner heroics. Second, that revenue and ops are measurable in real time — which means the PE's 100-day plan can be tracked accurately.
Step 4: Document your SOPs
Top 20 workflows. Written down. Updated annually. Things like:
- How a new customer call flows from intake to booked appointment.
- How an estimator builds a quote.
- How a tech reports completion and how that triggers invoicing.
- How AR follow-up sequences run.
- How a callback is handled.
- How a new hire onboards.
The PE buyer's diligence team will ask for these. Having them ready signals sophistication. Not having them signals an owner-dependent operation.
Step 5: Build the owner-out story
PE wants to know what happens when you leave. The right answer isn't "I'll stay for the earn-out." The right answer is "here's my GM, here are their last 18 months of P&L responsibility, here are the systems that run independent of me."
If you can't answer this honestly, your business isn't ready for PE yet. Hire or promote a #2 first. AI ops infrastructure helps because it reduces what the #2 has to know — the system surfaces what they need to act on. See our piece on hiring an ops manager vs AI software.
Step 6: Be ready for the QofE
Quality of Earnings analysis is the diligence step where most deals lose value. The QofE firm will rip apart your books looking for:
- One-time revenue gains that won't recur.
- Underinvested working capital that the new owner has to fund.
- Owner add-backs that are aggressive.
- Margin trends that don't hold up.
- Customer concentration risk.
Clean books, clean SOPs, and AI-generated reports that you can produce on demand make the QofE go faster and result in higher quality of earnings. Slower or messier QofE = lower multiple.
The 12-18 month timeline
| Months | Work |
|---|---|
| 1-3 | Platform consolidation, chart of accounts, job costing cleanup |
| 4-6 | AI voice agent, AR automation, owner-out plan |
| 7-9 | AI ops dashboard, SOPs documented, retention metrics |
| 10-12 | 12 months of clean run-rate data, growth thesis articulation |
| 13-18 | Banker engagement, pre-LOI conversations, ready for diligence |
If you're not selling — do this anyway
The work that prepares you to sell to PE also makes you a better-run business. Cleaner data, less owner dependence, AI ops infrastructure that pays for itself in efficiency. The optionality is the gift. You don't have to sell. But when the next acquirer calls, you decide from a position of strength.
Bottom line
PE is buying trade contractors. The gap between top-quartile and bottom-quartile sellers is 1-3 EBITDA turns. The work to bridge that gap is 12-18 months of platform consolidation, AI ops deployment, SOP documentation, and owner-out preparation. AI ops infrastructure isn't a nice-to-have for PE prep — it's an increasingly required signal of operational maturity. Start now.
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