Applied AI consulting for small and mid-sized service businesses

Why most AI efforts stall

The Federal Reserve Banks' 2025 Small Business Credit Survey found that 46 percent of small employer firms were using AI, but only 7 percent of those users had fully integrated it into their business. The two most common problems they reported were accuracy, at 46 percent, and adapting the tools to their business needs, at 43 percent.

Both of those are design problems, not technology problems. A tool given a vague job produces vague, sometimes wrong, output. A tool given a specific, repetitive, well-defined job, with a clear picture of what a correct result looks like and a person checking it, tends to work. This service is about the second kind.

What we do

Find the right jobs. We look at where your team spends time on repetitive reading, writing, sorting, and summarizing, and pick the tasks where an assistant can do the first draft and a person does the last check. Drafting replies to routine inquiries, summarizing long threads, sorting incoming requests, turning notes into structured records: that kind of work.

Build the assistant into the workflow. Not a chat window on the side. The assistant sits where the work happens, receives the right context automatically, and puts its output where the next step needs it.

Add guardrails. Clear rules about what the assistant may and may not do, what it must escalate to a person, what data it can see, and how its output is reviewed. We write these down and build them in.

Measure it. Before and after: time spent, error rate, turnaround. If the numbers do not move, we say so and turn it off.

What you get

• A short assessment of where AI can help in your business and, just as important, where it should not be used
• Working assistants or automations embedded in your existing tools
• Written operating rules: scope, escalation, data handling, review
• Training for your team on how to work with the assistant and how to catch its mistakes

How it runs

We start with an assessment that ranks candidate tasks by volume, risk, and how easy correctness is to check. Then we pilot one task, the highest-value and lowest-risk one, alongside the current process and measure it. You decide whether to keep it, adjust it, or stop, and whether to move on to the next task on the list. Scope and terms are agreed in writing once we have talked through what you need; the AI provider's usage charges run in your own account.

What this is not

We do not deploy AI for its own sake, and we will not build an assistant to talk to your customers unsupervised. We do not train models on your data or send your customers' information anywhere you have not approved in writing. If the honest answer is that a simple automation or a checklist would solve the problem better, that is the recommendation you will get.

Questions people ask

Is our data safe? We use established providers whose business terms exclude training on your data, keep each assistant's access to the minimum it needs, and document exactly what it can see.

Will this replace staff? In our experience it removes the parts of jobs people like least. The same Fed survey found that most firms using AI had not seen a change in their labor costs. What changes is where the time goes.

Do we need to be technical? No. If the assistant needs a technical person to operate, we have built the wrong thing.