There’s a frustration most business owners have experienced with software at some point. It could be the subscription that auto-renews while the team carries on with spreadsheets, or the tool that sounded essential in the demo and became shelfware within a month.
The pressure to do something with AI has been relentless. And plenty of businesses have responded by buying tools, signing up for subscriptions, maybe even deploying Microsoft Copilot across the whole team. Adoption of generative AI among small businesses jumped from 39% to 55% between 2024 and 2025, according to a national survey by Thryv. But adoption and value aren’t the same thing. Only 35.8% of employees with Copilot access choose to use it regularly, according to Recon Analytics.
The real problem isn’t the tools
Most AI disappointments trace back to a single missing ingredient: training. The assumption is that once people have access, productivity will increase. But they rarely do. AI tools require a different kind of learning than traditional software. You’re not learning where the button is; you’re learning how to think with the tool, how to frame a task, what to hand off, and what to handle yourself. Without that foundation, the tool gets tried once, delivers underwhelming results, and gets set aside.
We see this regularly with the schools, nonprofits, and small businesses we work with across Greater Boston. The tools are paid for, but the training isn’t implemented.
Where to actually start
The platforms most businesses already run – Microsoft 365, Google Workspace, even basic CRM tools – have automation and AI capabilities built in that most users have never touched. The easiest entry point is getting real value from what’s already in your stack.
Automation is the natural place to start. Scheduling, follow-ups, document summaries, and intake forms that route to the right person. But this requires someone to sit down, map where repetitive work is piling up, and figure out which steps can be handed to a system. For a lot of businesses, a conversation with someone who knows what the tools can do is enough to identify three or four meaningful wins before any new software is purchased.
The gym owner problem
One of the clearest examples of what this looks like in practice came up in a recent client conversation at SecureWon. A gym owner with ten locations wants to grow to twenty. He has three people in back-office roles, but he wants to figure out how he could scale without changing what works.
The answer is almost certainly in the systems rather than the headcount. Automating the repetitive coordination and reporting that currently fills their day gives three people the capacity to support twenty locations instead of ten. The headcount stays flat while the output scales. And the three people who were drowning in administrative work get to focus on the parts of the job that require a human.
The fear is real, but it’s pointed at the wrong thing
The anxiety around AI tends to focus on replacement, jobs, decisions, and control. Some of that concern is legitimate, particularly around security and data governance. When employees start using AI tools the company hasn’t officially approved, a pattern often called “shadow AI,” questions about where data is going and who can see it become very real, very fast. It’s one of the topics we address directly with clients when they’re working through an AI approach, because it’s genuinely important and consistently overlooked.
The more pressing risk for most small businesses, though, is that competitors who figure out how to use it effectively will pull ahead on efficiency while others stay flat. The SBA’s Business Trends and Outlook Survey found that small businesses failing to adopt productivity-enhancing technology will substantially lose market share to those that do.
A practical path forward
Getting real value from AI requires you to gather a clear idea of what your team’s time is being spent on, an honest look at what’s already in your tech stack and going unused, and practical guidance on how to start putting those tools to work.
If you’re a Greater Boston business owner who wants a straight answer on where to begin, we’re hosting a small group session on the morning of June 12 in Quincy. We’ll cover automation as an entry point, how to handle shadow AI, where your data goes when your team uses AI tools, and how to build a practical approach without adding a bunch of new software. Breakfast is included, and places are limited.
