Most AI advice is written for companies with a data team. If you have ten people and no IT department, almost none of it applies.
So here's the version for a business that size: what's actually worth paying for, what order to adopt it in, and what to skip.
Start With One Assistant, Company-Wide
Before anything specialised, get everyone on a single general AI assistant and pay for the business tier.
The business tier matters for a specific reason: on consumer plans, your conversations may be used to train the model. On business plans, generally they aren't. If your team is going to paste customer emails, pricing, or contracts into it — and they will, whether you approve or not — that distinction is the whole ballgame.
Expect this to be the single highest-return thing on the list. Not because it's clever, but because it removes friction from writing, summarising, and thinking through problems across every role you have.
Budget: roughly $25–35 per person per month. For ten people, call it $300.
Then Fix Your Meetings and Your Notes
The second-best return for a small team is usually meeting capture. An AI notetaker that joins calls, transcribes, and produces action items eliminates a genuinely annoying task and makes it far harder for commitments to quietly evaporate.
It's cheap, it works well today, and adoption is effortless because nobody has to change how they work.
Budget: roughly $10–20 per user, and you only need it for people who sit in a lot of meetings.
Then Point It at Your Own Documents
This is where it stops being generic and starts being about your business.
The idea is simple: connect an AI tool to your own material — policies, pricing, past proposals, product documentation, previous project notes — so people can ask questions and get answers grounded in your actual content instead of the model's general knowledge.
This is where a ten-person business quietly gets a real advantage. The knowledge that currently lives in two people's heads becomes something anyone can ask.
It also takes the most effort, because it forces you to find out how disorganised your documents actually are. That's not a reason to skip it. It's just worth knowing before you start.
Then, Maybe, Something Custom
Only after the first three are working should you consider building something.
By then you'll know what people actually use, where the friction genuinely is, and which repetitive task is worth automating. Build before that and you're guessing.
The usual candidates: intake and quoting, scheduling, extracting data from documents you receive constantly, or an internal tool that replaces the spreadsheet everyone hates. We cover when custom software beats subscriptions separately.
What to Skip
- AI-only tools for problems you don't have. If nobody has complained about it, it isn't a priority.
- Anything that requires a data warehouse. You don't have one and don't need one yet.
- Enterprise platforms sold on a demo. If it takes six weeks to configure, it isn't for a ten-person business.
- Automated social posting nobody reviews. Small audiences notice generic content immediately.
- Replacing a person before you've automated a task. Start with tasks. Roles look after themselves.
The Real Cost
For ten people, a sensible stack lands somewhere around $400–600 a month. That's a real number, and it should be weighed like any other spend.
The reason it's usually worth it isn't headcount reduction. It's that the same ten people stop spending their week on the parts of their jobs that never needed a human.
One Rule Before You Start
Write down what your team may and may not put into these tools, and tell them out loud. Customer data, employee data, anything under contract, anything you'd be embarrassed to see quoted back.
Most AI problems at small companies aren't technology failures. They're somebody pasting something sensitive into a free tool because nobody ever said not to.
We help businesses across Bethlehem, Allentown, Easton and the Lehigh Valley put this together — including the self-hosted route if you'd rather your data never leave your own hardware. If you want a second opinion on where to start, get in touch.