AI adoption hurdles in Business Central

A July 28 study of 100 senior industrial manufacturers revealed that product information is largely fragmented, with only 7 % of firms achieving fully integrated data flows. While most respondents have product information management (PIM) and digital asset management (DAM) systems, the lack of cohesive data hampers AI use cases such as data structuring, AI‑assisted product discovery, and automated content syndication. The same report highlighted a Forrester‑commissioned analysis showing that Microsoft Dynamics 365 Business Central can generate a 209 % ROI for discrete manufacturers by automating finance, consolidating legacy systems, and improving operational visibility.

By July 31, a self‑assessment guide warned that many Business Central deployments remain unready for AI because of poor data quality and undocumented high‑volume workflows. It urged finance and operations leaders to verify master‑record consistency, recent data cleaning, and process documentation before AI rollout. Concurrently, small UK businesses were quietly adopting low‑cost AI tools for chat‑based customer service, predictive scheduling, content creation, and bookkeeping, demonstrating that even with limited budgets, organizations are seeking AI benefits while still confronting data readiness challenges.