In the competitive world of ERP consulting, efficiency and quality are non-negotiable. At DynaExperts, we harnessed AI in Business Central development to transform repetitive, time-consuming tasks into strategic advantages. Our journey began by automating code documentation—what used to consume 20% of each sprint now takes minutes, thanks to AI assistants generating initial comments, summaries, and AppSource-ready docs. From there, we extended AI’s role into solution architecture, using intelligent prompts to draft data models, page extensions, and performance optimizations in a fraction of the usual planning time.
Next came code scaffolding: integrating GitHub Copilot into our AL development workflow slashed boilerplate work by 60%, letting developers focus on business logic and edge-case handling. To ensure consistency and safety, we built a “prompt cookbook,” enforced human-in-the-loop reviews, and anonymized sensitive data when interacting with cloud-based AI.
The results speak for themselves: documentation time dropped by 35%, error rates fell 20%, and developer satisfaction soared. This case study not only validates that AI can elevate BC development but also demonstrates how human expertise remains central—commanding AI rather than competing with it.
Discover how to implement these AI-driven practices in your own Business Central projects—read the full guide and learn to future-proof your team.
Like this:
Like Loading...