Dhruv AI is the Fast Suite's own AI and BI module, wired into Fast Production Software. It puts a live Production role dashboard on your work-order, WIP and rejection data, writes insight summaries for you, answers plain-English questions straight from production history through a read-only security sandbox — and clusters thousands of rejection and defect remarks into the handful of themes that actually keep recurring, ranked by work center and item.
Dashboards answer the questions you thought of when they were built. Dhruv AI covers both halves: a live Production role dashboard for the questions you ask every day, and a plain-English chat for the ones you've never asked before.
Dhruv AI never touches your raw production records. Questions are answered through pre-defined analytical views, and every AI-drafted query is validated before it runs.
Everything runs on the work-order, WIP and rejection data you already capture in Fast Production Software — no exports, no separate data warehouse project.
The floor already runs on work orders, route sheets and WIP bookings. Dhruv AI puts the management layer on top: a production head sees throughput and work-order status; a quality manager sees rejection by work center and item; a plant manager sees cycle time and output by machine, shift and operator — all reading the same live data as the work-order screens.
Reading a dozen charts before a production meeting is work someone always skips. One click asks Dhruv AI to summarise the dashboard in front of you into short written insights — where output is shifting, which work center is driving reject, where cycle time is creeping and which work orders are slipping against the route sheet.
Letting an AI near your production database is a fair worry — so Dhruv AI is built to make writes impossible, not just unlikely. Your question becomes a query against pre-defined analytical views. Before it runs, the sandbox checks it: read-only statements only, whitelisted views only, no write or admin keywords, no stacked statements, comment tricks stripped. Fail any check and the query never executes.
Rejection remarks are free text — every operator words the same defect differently, so spreadsheets never add them up. Dhruv AI clusters similar remarks together and generates a readable label for each group. And because the view carries the work center and item, each theme tells you not just what keeps happening, but where — which station and which part — so the rejection and rework discussion starts from the real Pareto, not a hunch.
Throughput, work-order status, output by machine, shift and operator, top rejections and cycle time — over live WIP and material data.
One-click written analysis of the dashboard you're viewing — what moved, where reject crept up, which WO is slipping — regenerated whenever the data changes.
Questions about production history answered as data plus a written summary — no report writer, no SQL, no waiting on IT.
Free-text rejection and defect remarks clustered into recurring themes with AI-generated labels, ranked by work center and item — the Pareto view of what keeps going wrong.
Defect themes carry the work center, the item and whether the reject went to rework or scrap — so analytics reflect the outcome on the line, not just the symptom.
A security sandbox validates every AI-drafted query — SELECT-only, whitelisted analytical views, blocked write keywords, encrypted connection credentials.
Bring a real question from your last production review. In a 30-minute demo we'll connect Dhruv AI to sample production data and answer it in front of you.
