Copilot in Business Central: what it really does for an SMB

Artificial intelligence is everywhere at the moment, often wrapped in promises that are hard to check. Copilot in Business Central is a more down-to-earth case: features built into the ERP and designed for specific tasks. It is worth understanding what they actually do, where they can save time for a small or mid-sized business, and where a person still needs to keep watch.

One important caveat first: Copilot features change often. Availability depends on your Business Central version, country, language and licensing, and some features start out in preview before becoming generally available. Before planning anything, always check the current Microsoft documentation.

What Copilot does in Business Central today

Without going into the details of every release, these are the areas where Copilot is now well established.

Marketing text for items

Starting from an item’s attributes, Copilot can draft a sales description, useful for a catalogue or an online shop. You pick the tone and length, read it through, edit it and then decide whether to use it. If you have hundreds of items with thin descriptions, it is a good starting point.

Help with bank reconciliation

When reconciling bank transactions, Copilot can help match statement lines with ledger entries and suggest how to handle the ones left over. The repetitive work shrinks, but the final confirmation stays with you.

Sales line suggestions

When preparing a quote or an order, Copilot can propose lines based on a request written in plain language, on previous documents or on a file from the customer. It is handy when requests arrive in loosely structured formats.

Chat to find information and navigate

Copilot chat lets you ask questions in natural language to find data or work out where a feature lives. For occasional users, or people who have just joined the company, it can cut down a lot of time spent searching.

Help with data analysis

In analysis views, Copilot can help you set up groupings, filters and totals by describing what you want to see. It doesn’t replace structured reporting, but it makes ad hoc questions quicker to answer.

Where AI genuinely helps

For an SMB, the most concrete benefit is not doing new things but taking friction out of the things you already do:

• a first draft of text that nobody otherwise finds time to write;
• the repetitive matching work that eats hours at month end;
• finding a figure or a page when you can’t remember where it is;
• entering documents from information that arrives in a messy form.

These are tasks where a suggestion, even an imperfect one, saves time because correcting is faster than starting from scratch.

Where human review stays essential

Copilot suggests; it doesn’t decide. In some areas a person’s review is not optional:

• accounting and tax: every suggested entry should be checked by someone who knows the rules and the business context;
• prices, discounts and terms: a badly proposed sales line can cost margin or cause trouble with a customer;
• published text: a generated description may contain inaccuracies about product features;
• decisions based on analysis: AI can help you read the data, but the interpretation and its consequences remain your responsibility.

A useful rule of thumb: treat every Copilot output like work from a willing but inexperienced colleague. Helpful, but worth checking.

Data and privacy

Before switching on AI features, clarify a few points with whoever manages your system:

• which features are enabled and who can use them;
• how data sent to the service is handled, as set out in Microsoft’s documentation on privacy and responsible AI;
• where the data is processed, which matters if your company has specific data residency requirements;
• whether your internal policy on personal data needs updating.

Business Central lets administrators control which Copilot features are active. Use that control deliberately rather than turning everything on by default.

How to start small

You don’t need a big project. A sensible approach looks like this:

1. pick one or two use cases tied to a real, measurable problem, such as missing item descriptions or bank reconciliation;
2. involve a few people who know that process well;
3. agree who reviews the output and how;
4. after a few weeks, assess together whether the time saved is worth the review effort;
5. only then extend it to other areas or users.

That way you learn how the tool behaves on your own data before relying on it in sensitive processes.

Want to know if it fits your business?

Copilot is not a magic wand, but used well it can take repetitive work off the right people. If you’d like to talk through which features make sense for your company and how to introduce them, get in touch.