First, the Hard Truth Most AI Conversations Skip
Every CEO is asking the same question right now: Where should we actually use AI?
The honest answer is probably not where the vendors are telling you.
There’s a premise underneath every smart AI decision, and most companies skip right past it: AI amplifies whatever you already have. Point it at a disciplined business, and you get a multiplier. Point it at a broken process, and you simply automate the mess—faster.
So the foundation comes first. Clean, trusted data. A leadership team with a real operating rhythm. Core processes that are documented and owned. Without those, AI doesn’t transform anything; it just scales your confusion at a higher monthly cost.
Let’s assume you’ve done that work—or you’re serious about doing it. Now the real question is where AI actually pays off. For a $5M–$50M business, the honest answer is that it’s not everywhere. It’s in a few specific places—and knowing which ones is the whole game.
Key Takeaways
- AI delivers the greatest ROI when applied to a few high-leverage business problems.
- Most mid-market companies should focus on decisions, repetitive work, and disconnected systems first.
- Strategy should determine where AI is applied—not the latest technology trend.
- Operational discipline comes before automation.
The Three Places AI Earns Its Keep
After 37 years operating companies, I’ve learned that leverage isn’t about doing more things. It’s about finding the few places where a small improvement creates an outsized business result.
- Faster, better decisions. Turn trusted business data into real-time decisions instead of spreadsheet exercises.
- Repetitive work that consumes your team’s time. Automate rules-based work so people can focus on customers, judgment, and relationships.
- Systems that don’t talk to each other. Eliminate manual handoffs where information, time, and margin are lost.
One distributor I worked with reduced a two-week pricing review to a single morning. The dashboard wasn’t the win. Better pricing decisions were.
How to Tell Which One Is Yours
You don’t need to solve all three problems at once. You need to solve the one quietly costing you the most.
- Lost deals waiting on decisions? Start with decision support.
- Teams buried in repetitive work? Automate repeatable tasks.
- Work falling between systems? Fix the handoffs first.
Most companies spread their AI budget across too many initiatives. The companies that win identify the highest-leverage opportunity, solve it well, and expand from there.
AI Opportunity Checklist
- Does this solve a measurable business problem?
- Is the process already documented?
- Is someone accountable for the outcome?
- Do we trust the underlying data?
- Will this improve revenue, margin, customer experience, or productivity?
Where AI Just Creates Expensive Noise
AI becomes a money pit when you:
- Chase tools before defining the business problem.
- Automate processes no one owns.
- Try to put AI everywhere instead of where it creates measurable business value.
Strategy first. Tools second. Always in that order.
Where Most AI Projects Stall
Even with the right opportunities identified, many projects stall because two different skill sets are required. One is operator judgment—knowing where leverage exists and whether the business can absorb change. The other is technical execution—building reliable systems that solve real business problems.
I work the first half as a Fractional COO and Integrator. In the second half, I partner with technical experts who build practical, maintainable AI solutions rather than chasing shiny technology. Together, we identify the leverage, prepare the business, and build something that lasts.
A Smarter First Step Than ‘Let’s Buy Something’
If you want to know where AI will actually pay off in your business—not in theory, but in your business—that’s exactly what my AI Leverage Assessment is designed to answer.
It’s a fixed-fee engagement that evaluates your operational readiness, identifies the highest-leverage AI opportunities, and delivers a prioritized roadmap before you invest in software.
You leave knowing where to start, what it will take, and what it’s worth.
How I Help Through Nspire2Gro
- Identify the highest-leverage AI opportunities.
- Strengthen the operational foundation first.
- Develop a practical AI roadmap.
- Serve as a Fractional COO and Integrator.
- Coordinate with trusted technical implementation partners.
Before you spend money on AI, make sure you’re investing in the right opportunity.
If you’d like an honest assessment of where I’d start in your business, let’s have a conversation.
Frequently Asked Questions About AI ASeessments
What is an AI Leverage Assessment?
A structured evaluation that identifies where AI can produce the greatest business impact before technology investments are made.
Where does AI create the greatest ROI?
Typically in decision support, repetitive work, and connecting disconnected systems.
Should every business implement AI?
Only after the operational foundation is ready.
Why do AI initiatives fail?
Poor data, unclear ownership, weak processes, and lack of operational discipline.
How can a Fractional COO help?
By aligning strategy, operations, and execution before technology investments.