AI for Growing Businesses: Where It Actually Helps (and Where It Doesn't)
- May 17
- 4 min read

Featuring Ken Scales on Ask the CFO with Lowell Mora
Every company feels the pressure to have an AI strategy. Boards are asking about it. Leadership teams worry they are falling behind. But the real question most business owners are wrestling with is simpler than that: "What are we supposed to be doing with AI?" On a recent session of Ask the CFO, host Lowell Mora sat down with Ken Scales, CEO of Scalesology, to cut through the noise and talk about where AI actually delivers value for growing businesses, and where it falls short.
Start With the Business, Not the Buzzword
One of the biggest mistakes companies make right now is starting with the tool instead of the problem. AI is not a strategy by itself. It is an accelerator. And if you point an accelerator at the wrong target, you just get to the wrong place faster.
Ken put it plainly during the session: you have to ask what the business is trying to achieve first. The companies getting real returns from AI are the ones that identify friction in their operations, define the outcome they want, and then evaluate whether AI is the right fit to get there.
Key Takeaways from the Conversation
Where AI Is Delivering Real Value Today
Ken broke down AI's impact into three practical categories that help ground the conversation for any business leader:
Automation - This is where the most immediate ROI lives. Document handling, data entry, moving information between systems. These are tasks people are still doing manually that do not need human judgment. AI handles them faster, cheaper, and more consistently.
Personalization - Most businesses are experimenting here already. Using AI for writing emails, creating marketing content, and supporting customer communication. It is useful, but it is not transformational on its own.
Predictive and Decision Support - This is where AI becomes a real competitive advantage. Using data to forecast demand, flag risks, and inform strategic decisions. But this is also where most companies hit a wall, because it requires something many businesses do not have: clean, connected data.
The Data Problem No One Wants to Address
Before AI can do anything meaningful, your data has to be in order. Most businesses have data scattered across systems, owned by different departments, entered inconsistently. Ken sees this pattern constantly. The data lives in silos, and when companies try to layer AI on top of that, they do not get better insights. They get faster confusion.
Getting AI-ready means getting your data house in order first:
Clarity on what data actually matters to the business
Consistency in how data is captured and maintained
Alignment across systems so information flows without manual intervention
That work is not glamorous, but it is the foundation that makes everything else possible. Scalesology specializes in helping companies tackle exactly this challenge, consolidating fragmented data environments into unified platforms that are ready for analytics and AI.
A Practical Way to Get Started
Ken's advice for companies looking to move forward with AI is refreshingly grounded: start with a pilot program. Pick one problem. Test a solution against it. Measure what changed. Then decide whether to expand.
This approach works because it keeps things manageable and accountable. Instead of a company-wide AI rollout that stalls under its own weight, you build momentum through small wins that prove real value. Ken also emphasized that this process cannot live in a single department. If you do not involve people across the business, you end up building something that works in isolation but breaks down in practice.
Process Still Wins
No matter what technology enters the picture, the fundamentals do not change. If your processes are broken, AI will not fix them. It will just move the problems around faster.
Ken shared a perspective that resonates across every engagement Scalesology takes on: when a company says they have a cash flow issue, he walks it backward. Why is cash flow tight? Invoices are not going out on time. Why not? The team is not getting the information they need. There is almost always a chain of process failures behind a surface-level problem. Fix the chain first, and then technology becomes a multiplier instead of a Band-Aid.
This Is About Behavior, Not Just Technology
One of the most valuable insights from the session came from a live participant, Joe Kuntner, who noted that AI adoption is mostly about behavior changes, not the technology itself. The tools are evolving too fast to chase perfectly. What matters is building a culture where teams are willing to experiment, learn from what works, and adapt.
That mindset, not any specific tool, is what will separate the companies that thrive over the next few years from the ones that fall behind.
The Bottom Line
You do not need an AI strategy. You need better decision discipline. You need to understand how your business actually runs, where the friction lives, and what matters most. Then you can bring in tools, AI included, to support that.
Skip that step, and you will spend time and money with little to show for it. Get it right, and AI becomes a force multiplier for your business.
Unlock the Hidden Potential in Your Business
Don't let valuable opportunities go to waste. Ken Scales and his team at Scalesology specialize in helping businesses get their data right, fix broken processes, and deploy AI where it actually moves the needle.
Want to find out where AI can deliver real value in your business? Ken is offering a free Scaling Session to help business owners cut through the hype and build a practical roadmap.
Watch the full Ask the CFO session here: AI for Growing Businesses: Where It Actually Helps (and Where It Doesn't)
Start leveraging your data to fuel business growth today!
Contact Scalesology: https://www.scalesology.com/contact-us
Website: www.scalesology.com
Phone: (312) 809-3996

