Beghou Arc instances are programmatically generated from 100+ interrelated metadata tables spanning 1,500+ columns.
That flexibility meant even simple additions, like a search bar, required complex manual engineering across multiple tables and foreign keys, creating a scalability bottleneck as the client base grew.
Fractional AI built an AI copilot for Beghou's Arc platform that translates natural-language configuration requests into validated SQL proposals. A low-latency GPT-4-mini agent assembles live metadata context about the current page, grid, and datasource, and every proposed change is reviewed by an engineer before it runs against the client instance.
Configuration tasks complete up to 10 times faster, in minutes rather than hours or days.
Error rates fell by roughly 50% through temperature tuning from 1.0 to 0.4.
Parallel tool calling cut reasoning steps from 6-7 down to 2-3 per request.
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