AI is not going to stay special.
Right now, plenty of business owners are treating AI like a secret weapon. That window will not last. Your competitors will use it. Your vendors will use it. Your customers will expect it. Your employees will bring it into the business whether you have a policy or not.
The question is not whether your company should use AI. It should.
The better question is this: where can AI help you make faster, cleaner, more profitable decisions than the company down the street?
That is where the advantage lives.
AI is becoming table stakes
Every business eventually gets access to the same basic tools.
Email used to be an edge. Then everyone had email. Cloud software used to be an edge. Then everyone moved to the cloud. Dashboards, online payments, CRM systems, mobile apps — same story.
AI is headed the same direction.
The first wave of advantage comes from simply using the tool. The second wave comes from using it better than everyone else. Most businesses will get stuck in the first wave. They will use AI to write emails, summarize meetings, clean up spreadsheets, and draft social posts.
That is fine. It saves time.
But time savings alone is not a strategy.
If ten competitors all save five hours a week using the same tools, nobody has built a moat. They have just raised the baseline for what normal productivity looks like.
The advantage is not the tool
The advantage is your process.
A good employee with bad data and unclear direction will still produce average work. AI is no different. If your pricing is messy, your job costing is late, your customer data is unreliable, and your chart of accounts looks like it was built by six different people over twelve years, AI will not magically fix that.
It will just help you move bad information faster.
Before a business owner asks, "How do we use AI?" I would rather ask:
What decisions are we making too slowly?
That is the practical starting point.
Are you slow to quote jobs? Slow to spot margin erosion? Slow to collect receivables? Slow to see labor overruns? Slow to understand which customers are worth keeping and which ones are draining the business?
AI should be pointed at real friction. Not novelty. Not demos. Not whatever software vendor gave the best webinar last week.
Start with decision points, not tasks
Most AI conversations start too low.
They start with tasks: write this, summarize that, build this report, draft this email.
Tasks matter, but owners should start one level higher. Look at the decisions that drive cash, margin, risk, and growth.
For a construction company, that might be estimating and job costing. If AI can help compare new bids against past projects, flag missing cost categories, and identify margin risk before the proposal goes out, that is useful.
For a manufacturer, it might be inventory planning, production scheduling, or customer profitability. If AI helps identify which SKUs tie up cash without earning their keep, that matters.
For an energy services business, it might be crew utilization, contract terms, or maintenance planning. If AI helps spot patterns in downtime or billing leakage, that can hit the bottom line.
For a real estate business, it might be lease review, operating expense trends, lender reporting, or property-level cash flow. AI can help organize the information, but management still has to decide what matters.
The goal is not to automate everything. The goal is to improve the decisions that move the business.
Your data will separate you from the pack
The businesses that get real value from AI will not be the ones with the most software. They will be the ones with the cleanest internal information.
That means customer history, job margins, vendor spend, payroll data, inventory records, equipment costs, payment trends, and operating metrics.
Most founder-led businesses already have this information somewhere. It is just scattered across accounting software, spreadsheets, email, project management tools, bank statements, and people's heads.
AI can help connect dots, but only if the dots exist and are reasonably accurate.
This is where owners need to be honest. If your financial reporting is always three weeks late, your project managers code costs inconsistently, and your sales team keeps customer notes in their own inboxes, AI will have a hard time producing anything useful.
Clean data is not an accounting preference. It is an operating advantage.
Use AI to tighten the feedback loop
The best operators learn faster than their competitors.
They quote a job, track performance, compare actual results to the estimate, learn what changed, and use that knowledge on the next bid. They do not wait until year-end to find out whether they made money.
AI can strengthen that loop.
It can help summarize project closeouts. It can find patterns in customer disputes. It can compare budget to actual results and flag outliers. It can scan contracts for unusual terms. It can turn messy notes into structured follow-up items. It can help management see weak signals earlier.
But there is a catch.
Someone still has to care about the feedback. Someone still has to ask the hard questions. Someone still has to change pricing, staffing, purchasing, collections, or customer terms when the data points in that direction.
AI can surface the issue. Leadership has to act.
Do not let AI become another shiny object
Founder-led businesses do not need an AI committee. They need a short list of practical use cases tied to money.
Start with three questions:
Where are we losing time?
Where are we losing margin?
Where are we making decisions with stale or incomplete information?
Pick one area. Build a simple workflow. Test it. Measure whether it improves speed, accuracy, cash flow, margin, or customer response time. If it does, expand it. If it does not, move on.
That is how this should work.
Not every process needs AI. Some need a better checklist. Some need cleaner accounting. Some need clearer accountability. Some need the owner to stop accepting bad habits because "that is how we have always done it."
AI is powerful, but it is not a substitute for management.
Where Laverton Advisory can help
This is where my work goes beyond traditional CFO services.
A traditional CFO can help with reporting, budgeting, forecasting, cash flow, and financial discipline. Those still matter. But for a founder-led business, the bigger opportunity is connecting the financial picture to what is actually happening in the field, on the shop floor, in the project pipeline, and across the customer base.
That requires more than a monthly financial package.
At Laverton Advisory, I help business owners use technology, analytics, and practical financial leadership to tie the big picture to operational insights. That can mean building better dashboards, cleaning up management reporting, identifying margin leaks, improving job or customer profitability analysis, and using AI-supported workflows where they make sense.
The goal is not to look more sophisticated. The goal is to run the business better.
When finance, operations, and data are connected, owners can see what is working, what is slipping, and where profit is hiding. That is where better decisions get made. That is where AI becomes useful. And that is where the business starts to create a real advantage.
The CFO view
From a CFO seat, I would not ask whether AI sounds impressive. I would ask whether it improves the economics of the business.
Does it help you quote faster without giving away margin?
Does it help you collect cash sooner?
Does it reduce rework?
Does it improve labor planning?
Does it help you see customer profitability more clearly?
Does it reduce the amount of time skilled people spend cleaning up avoidable messes?
Those are the questions that matter.
AI will become part of the normal business toolkit. The companies that win will not be the ones that merely adopt it. They will be the ones that combine AI with clean data, disciplined processes, and management willing to act on what the numbers show.
That is how you create an edge after everyone has the same tool.
Derek Hammock is a CPA and fractional CFO at Laverton Advisory. He works with founder-led businesses to build the financial clarity they need to make better decisions.