AI in ERP software has generated a lot of marketing language and a more modest amount of practical clarity. Business Central now includes a genuine set of Copilot and AI-assisted features, and it is worth being specific about what they actually do, what they save time on, and where the expectations being set in some sales conversations run ahead of what is realistically deliverable today.
What Copilot in Business Central Does Today
Copilot features in Business Central are built into existing workflows rather than delivered as a separate tool you have to switch into. The current capability set focuses on a handful of genuinely useful, well-scoped tasks.
Product description generation
Available nowGenerates marketing-ready product descriptions from existing attributes, reducing time spent writing catalogue content manually.
Sales line drafting and summarisation
Available nowAssists with drafting sales quote lines and summarising long email threads or order histories into a quick reference.
Late payment prediction
Available nowUses historical payment behaviour to flag invoices at higher risk of late payment, supporting more targeted collections follow-up.
Cash flow forecasting assistance
Available nowHelps build forward-looking cash flow views from existing transaction data, supporting earlier visibility of potential shortfalls.
Natural language data analysis
ExpandingAllows questions about business data to be asked in plain language rather than built as formal reports, with capability expanding as the feature matures.
Where Expectations Need to Stay Realistic
AI features in any ERP platform are evolving quickly, and the gap between what is technically possible and what is reliably production-ready in a finance system matters. A few things are worth keeping in mind.
Outputs still need review
Generated descriptions, summaries, and forecasts are a starting point, not a final answer. Financial outputs in particular should always be reviewed by a qualified person before being relied upon.
It is not a replacement for skilled staff
Copilot reduces time spent on repetitive drafting and summarising. It does not substitute for the judgement that finance and operations professionals bring to ambiguous or high-stakes decisions.
Feature scope is still moving
What Copilot can do today is meaningfully different from what it could do a year ago, and will likely be different again in another year. Treat any specific capability claim with a “as of when” question attached.
Data quality still governs output quality
AI features draw on the same underlying data as the rest of the system. Poor data hygiene produces poor AI output just as readily as it produces poor reports.
Getting Genuine Value Rather Than Novelty Value
The organisations getting real value from Copilot in Business Central tend to share a few habits in common, rather than simply switching the features on and hoping for the best.
- Starting with one or two well-defined use cases rather than enabling every available feature at once
- Establishing a clear review step for any AI-generated output that feeds into financial reporting or customer-facing content
- Measuring time saved on specific tasks rather than treating “we use AI now” as a goal in itself
- Keeping underlying data quality and configuration sound, since AI features amplify the existing state of the data rather than fixing it
- Revisiting the feature set periodically, since capability is expanding faster than most internal documentation keeps up with
If a partner’s pitch leads heavily with AI capability, ask to see the underlying ERP fundamentals first. A well-configured Business Central core makes every AI feature on top of it meaningfully more useful, and a poorly configured one makes them less reliable, not more.
