Most owners we talk to have the same question about AI: where do we actually start? Staff are already trying tools on their own, vendors are adding AI features to everything, and it's hard to tell what's worth paying for. The good news is that a sensible start is small, cheap and low risk. You don't need a strategy document first. You need a few well-chosen tasks, the right tool for them, and some simple rules.
Start with the work, not the tool
The most common mistake is picking a product and then looking for something to do with it. Turn that around. Sit down with the people who do the work and list the tasks that are repetitive, text-heavy and eat up time every week. Drafting routine emails and quotes, summarizing long documents or meeting notes, turning rough notes into a tidy report, and answering the same internal questions over and over are all good candidates.
Pick two or three of those tasks, not ten. A narrow start makes it easy to see whether AI is actually helping, and it keeps the risk contained while your team learns how these tools behave. Write down roughly how long each task takes today, so you have something to compare against later.
What to weigh when choosing a tool
Once you know the tasks, the choice of tool gets much clearer. Start with the kind of work: some tools are better at writing and summarizing, others at working inside your email and documents, and others at analysing data. Then look at the systems you already use. If your business runs on Microsoft 365, a tool that works inside Outlook, Word and Teams may fit your day better than a separate website staff have to remember to open.
Next, think about how sensitive the information is. Drafting a job posting is very different from summarizing a client file. Cost matters too, since most business AI plans are priced per person per month, and that adds up quickly if you license everyone before you know who will use it. Finally, ask what your staff actually need. A tool that's simple and available where people already work will get used. A powerful one nobody opens won't.
Where the main tools fit
Microsoft's assistant is now called Microsoft Copilot (it was previously Microsoft 365 Copilot). According to Microsoft's licensing documentation, Copilot Chat is included at no extra cost with eligible Microsoft 365 subscriptions and shows results from the web. Having Copilot work with your own emails, files, chats and meetings requires a paid Microsoft Copilot licence on top of your subscription. Microsoft's privacy documentation says Copilot only surfaces organizational data that a user already has at least view permission to see, and that prompts, responses and data accessed through Microsoft Graph (the service that connects Copilot to your Microsoft 365 data) aren't used to train the underlying AI models.
OpenAI sells business versions of ChatGPT for teams and larger organizations. If you're considering one, read OpenAI's current business privacy terms before you sign up, and confirm that the plan you choose doesn't use your data to train its models by default, how long conversations are kept, and what controls an administrator gets.
Anthropic offers Claude for Work, which includes Team and Enterprise plans. Anthropic's privacy centre says that by default it doesn't use inputs or outputs from its commercial products, including Claude for Work, to train its models. Feedback that a user chooses to submit is an exception, and owners of Team and Enterprise plans can turn feedback submissions off.
None of these is the right answer for every business. Each one changes its features and terms regularly, so check the current terms for the plan you're actually buying, and use business plans with work accounts rather than free personal accounts.
Handle business information with care
An AI assistant connected to your files can find things quickly, including things people were never meant to see. If a folder of payroll records or a client contract was shared with "everyone" years ago, an assistant can bring it up in an answer. Before you turn on any tool that reads your business data, review who can see what in SharePoint, Teams and OneDrive, and tighten anything that's shared more widely than it should be. This kind of clean-up is part of good Microsoft 365 management, and it's worth doing whether or not you adopt AI.
Some information shouldn't go into any AI tool, approved or not: passwords and security codes, banking and payment card details, government ID numbers, health information, and anything you're bound by a confidentiality agreement not to share. Account security matters here too, because an assistant signed in with a staff member's account sees whatever that account can see. Strong sign-in protection and monitoring are part of managed cybersecurity for exactly this reason.
Give staff a short written guideline, one page at most. It should say which tools are approved, that they're used only with work accounts, what never goes into them, that output gets checked before it's used, and who to ask when someone isn't sure. A guideline people actually read does more than a long policy nobody opens.
Check the output and keep a person in charge
AI tools write confidently, and they're sometimes wrong. They can misread a document, invent a detail or miss something important. Microsoft's own documentation notes that generated responses aren't guaranteed to be factual and that users should review them before sending them to others.
Set a simple rule: a person reviews anything consequential before it goes out. That includes advice to clients, anything involving payments or banking details, contracts and quotes, and anything sent outside the business. AI can produce a solid first draft in a minute. The person whose name is on it decides whether it's right.
Run a small pilot before you commit
Rather than rolling a tool out to everyone, start with two to five people who are interested and who do the tasks you picked. Give them one or two of those tasks and a few weeks. Ask them to note how long the task takes now compared with before, and whether the result is as good, better or worse.
At the end, look at what you learned. If the tool saved real time and the quality held up, expand it gradually and add licences as people need them. If it didn't, you've lost very little and learned which tasks aren't a good fit. Either way, you're making the decision on evidence from your own business rather than a vendor's demo.
How we help
If you're a managed client, basic guidance on choosing AI tools and using them safely is included in your plan, so ask us before you buy. Larger pieces of work, such as an AI strategy, a company-wide Copilot rollout or a staff training program, are IT consulting work, where we plan and advise and your team carries out the work. Our AI enablement page explains how that works.
If you'd like to talk through where AI might fit in your business, book a discovery call or call us at (250) 562-0907.