Large Companies Are Setting the Playbook. Middle Market Companies Can Benefit. | Westlake Securities
Middle Market  |  Capital Markets  |  AI Strategy

Large Companies Are Setting the Playbook.
Middle Market Companies Can Benefit.

The same moves Walmart, Delta, and Cleveland Clinic are making to drive operating leverage? They translate directly to a $25M to $500M business. Here's the playbook, and why every middle market CEO needs to be able to speak this language in a deal room.

Westlake Securities  |  Completing the Deal Masterclass Series
AI adopters are seeing cash-flow margin expansion at twice the global average.
Source: Morgan Stanley Research, 2026 AI Market Trends

That number isn't coming from a Silicon Valley pitch deck. It's coming from Morgan Stanley's analysis of thousands of public companies. And it is already reshaping how sophisticated buyers evaluate deals, including deals in the middle market.

We recently hosted a session of our Completing the Deal Masterclass focused on one question: what does AI actually have to do with completing a transaction? More than 120 CEOs showed up. The answer surprised a lot of people in the room.

AI is no longer a technology decision you make at some point in the future. It is a valuation conversation happening right now, in active deal processes. Buyers are asking:

  • Does AI improve your operating leverage?
  • Does it strengthen your forecasting and decision-making?
  • Does it create scalable margin expansion?

If you can't answer those questions with confidence, that gap will show up in your multiple, whether you're planning to transact in 2 years or 10.

We're running the session again in April. Two live virtual sessions, one hour each, no fluff. Reserve your seat here.

The Playbook Is the Same. The Scale Is Just Different.

Here's the objection we hear most often from middle market CEOs: "That's great for Walmart. We're not a Fortune 500 company." Fair. But look more carefully at what these companies actually did. They didn't hire an army of data scientists. They identified a costly, recurring operational problem, applied a focused AI tool to it, and measured the outcome in margin terms.

Route optimization. Patient throughput. Customer experience. Demand forecasting. Fraud detection. These are not enterprise-only problems. Every middle market company running between $25M and $500M in revenue has a version of at least one of them. The difference is that these organizations had the discipline to name the problem, build around it, and then tell the story in language that buyers understand.

That's what AI adoption actually looks like at the leadership level. And that's exactly the story your business needs to be able to tell.

Here are 11 examples across industries that belong in every middle market CEO's mental library.

The Big Company Playbooks

Walmart
Retail
30M miles eliminated
AI-powered route optimization cut 30 million unnecessary driving miles per year. One system alone saved $55 million. They then commercialized that tool and now sell it as a SaaS product to other businesses, turning an internal efficiency into a new revenue stream.
UPS
UPS
Logistics
$400M saved annually
Their ORION AI routing system eliminated 100 million driving miles per year and is on track to save $300 to $400 million annually. The insight that anchors it: eliminating just one mile per driver per day saves UPS $50 million a year. Small inputs. Massive scale. That's operating leverage.
Mastercard
Financial Services
$47.9B in fraud prevented
One AI-powered cybersecurity solution prevented $47.9 billion in fraud losses over three years. They also stopped an estimated $20 billion in fraud in 2024 alone. This is AI protecting margin at scale, a story with direct relevance to any CEO thinking about risk during due diligence.
Delta Air Lines
Aviation
1.3B app interactions
Delta logged 1.3 billion app interactions in 2024, data that now feeds a generative AI concierge layered across the entire travel experience. CEO Ed Bastian put it plainly at CES 2025: "Not technology for technology's sake. Operational functionality first." A 100-year-old airline using AI to protect and expand margin.
JD
John Deere
Agriculture / Manufacturing
66% less herbicide
Their See & Spray technology uses computer vision to identify individual weeds in real time and spray herbicide only where needed. The result: up to 66% reduction in herbicide use. A 180-year-old industrial brand using AI to change the fundamental cost structure of farming. If that doesn't stop a room full of CEOs, nothing will.
Cleveland Clinic
Healthcare
AI in the operating room and the boardroom
Partnered with Palantir to build an AI product that simplifies every variable in moving patients through the hospital. Also deployed AI to identify sepsis faster, resulting in more lives saved and tighter operational performance. Healthcare CEOs often assume they're behind. Cleveland Clinic is proving otherwise.
MRNA
Moderna
Pharma / Biotech
Drug timelines cut by years
Moderna embedded AI into the core of their mRNA drug development platform. What once took six or more years in traditional drug discovery is now compressing to 12 to 18 months. AI isn't enhancing their R&D process. It is the R&D process. This is how AI changes the valuation of an entire pipeline.
M
Marriott
Hospitality
Dynamic pricing at global scale
Marriott uses AI for dynamic room pricing and revenue management across thousands of properties worldwide. Real-time signals: local events, competitor rates, demand patterns. The result is a revenue optimization engine running 24/7 that no human team could replicate at that scale. For any multi-location business owner, this story translates directly.
P&G
Procter & Gamble
Consumer Goods
AI across every SKU
P&G uses AI across marketing, inventory management, and product development, analyzing consumer data at a scale that lets them predict demand fluctuations and adjust strategy in near real time. For a company managing thousands of products across dozens of categories in 180 markets, AI-driven forecasting isn't a nice-to-have. It's the only way to run the business.
DOM
Domino's
Food / Restaurant
One of the earliest non-tech AI adopters
Domino's was using AI for order prediction, delivery routing, and camera-based pizza quality inspection long before most companies knew what a large language model was. They turned a commodity product into a data and logistics company. If a pizza chain can do it, the "we're not a tech company" objection becomes a lot harder to defend.
CAT
Caterpillar
Industrial / Manufacturing
Predictive maintenance as a product
Caterpillar uses AI for predictive maintenance on heavy equipment, both inside their own operations and as a service offering to their customers. They're using equipment sensor data to predict failures before they happen, reducing unplanned downtime and transforming what was once a parts-and-service business into a data-driven one. For manufacturing CEOs, this is the clearest possible translation: AI changes your service economics and your valuation story simultaneously.

What This Means If You're Running a $25M to $500M Business

Each of those examples maps directly to something a middle market business deals with every day. Routing and logistics costs. Patient or customer throughput. Demand forecasting and inventory. Fraud and operational risk. Pricing optimization across locations. Quality control on the production floor.

You don't need Walmart's technology budget to apply Walmart's logic. You need to find the one or two places in your operation where a measurable, repeatable inefficiency is costing you margin, and then build a focused solution around it. The AI tools available to a $50M business today would have been unthinkable five years ago, and the cost of access has dropped dramatically.

The discipline is the same as these large companies: name the problem precisely, apply the right tool, measure the outcome in dollars, and then build a narrative around it. That narrative is what buyers are now asking for.

The questions buyers are already asking
If you can't answer these confidently, that gap shows up in your multiple.
  • Does AI improve your operating leverage? Can you demonstrate it?
  • How does AI strengthen your forecasting and decision-making?
  • Where in your business does AI create scalable margin expansion?
  • If AI disrupts your category, are you the disruptor or the disrupted?

This Is Why We Built the Masterclass

We are not an AI company. We are an investment bank. But we started seeing something in deal rooms that we couldn't ignore: the CEOs who were winning on valuation were the ones who could speak to AI's role in their business model with clarity and conviction. Not because they had deployed the most technology, but because they had a story.

So we built a session specifically for middle market CEOs who want to understand what AI means for their capital markets story. Not a technology conference. Not a vendor pitch. A focused, one-hour conversation with the people who sit across from buyers every day.

120 CEOs came to the March sessions. We're running it again in April.

Completing the Deal Masterclass

The Role of AI in Completing the Deal

Two live virtual sessions. One hour. No vendor pitches, no fluff. Just what you need to know as a CEO preparing for a transaction, whether that's in two years or ten.

📅 April 14  |  10:00 to 11:00 AM CT
📅 April 21  |  1:00 to 2:00 PM CT
Reserve Your Seat
Free to attend. Seats are limited. Register at westlakesecurities.com

Who This Is For

This session is built for CEOs running businesses between roughly $25M and $500M in revenue who are thinking about a liquidity event, a recapitalization, or a strategic transaction at some point in the next several years. You don't need to be using AI today. You don't need a head of AI or a machine learning team.

What you do need is the ability to speak to the topic when it comes up in a deal room. And increasingly, it will. Buyers aren't just asking whether you use AI. They're asking whether AI strengthens the business model. Those are different questions, and most CEOs aren't ready for the second one.

We cover three things in the session: what buyers are actually asking about AI and why it matters to valuation, the practical frameworks for identifying where AI creates margin and defensibility in your specific business, and how to build a narrative that holds up in due diligence.

You'll leave with a clear point of view you can own and defend. That's the whole point.

The April sessions are open now. Click here to register at westlakesecurities.com. One hour. It could change how buyers see your business.

The Bottom Line

John Deere is a 180-year-old company that makes tractors. They're using AI to cut herbicide costs by two-thirds. UPS drives trucks. They're using AI to eliminate 100 million unnecessary miles per year. Domino's makes pizza. They built one of the most sophisticated AI-driven delivery operations in the world.

None of these are tech companies. And none of the underlying problems they solved, routing efficiency, throughput, quality control, demand forecasting, are problems unique to large companies. If you're running a middle market business, you have a version of every one of them.

The bar isn't to out-tech Walmart. The bar is to walk into a deal room and tell a credible story about where AI strengthens your business, in margin terms. That bar is achievable. The Masterclass is where we show you how to get there.

Don't miss April's sessions

Register Today

One of two sessions. One hour of your time. The clarity you need to walk into your next deal conversation with confidence.

📅 April 14  |  10:00 to 11:00 AM CT
📅 April 21  |  1:00 to 2:00 PM CT
Register at westlakesecurities.com
Live virtual sessions. Free to attend. Limited availability.

Want to talk through how this applies to your specific business? Reach out to Liz Schwab directly at [email protected].