AI basics: what the technology actually does
Understand AI, machine learning and generative AI before choosing a business tool.
Business Central
AI can write AL. You still own the result.
Use AI assistance to accelerate a Business Central change without outsourcing your engineering judgement.
Independent explanation by Frontier AI Works. Product guidance checked 12 September 2026. Business examples are illustrative.
Begin with the behaviour
Write the expected business behaviour before requesting code. Name the trigger, valid inputs, expected output and important exceptions. For a Business Central extension, include the relevant application version and the constraints of the existing solution. Use only code and context you are authorised to share.
Ask for a small change
A focused change is easier to inspect than a generated module. Ask the assistant to explain its assumptions, identify relevant extension points and propose a minimal implementation. Treat suggested APIs and object names as candidates to verify against your actual symbols and documentation.
Build tests around the business rule
Test the behaviour that matters: valid records, missing data, permissions and repeated execution. Do not accept tests solely because they agree with the generated implementation. Run them in a sandbox and examine any changes to transaction boundaries or business validation.
Review like you will maintain it
Compile, review and exercise the change in the target environment. Check naming, upgrade impact, performance and compatibility with existing extensions. AI can help draft documentation and review questions, but the final change should be understandable to the team that will support it.
Microsoft sources and further reading
Put it into practice
Business Central Development with AI
Bring AI assistance into planning, coding, testing and documenting Business Central extension changes.
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