Dhruv AI is the Fast Suite's own AI and BI module, wired into Fast Audit Software. It puts live auditee, auditor and HOD dashboards on your findings, closure ageing and audit progress, writes insight summaries on non-conformance trends and repeat findings, answers plain-English questions straight from audit history through a read-only security sandbox — and clusters thousands of discrepancy and observation remarks into the handful of themes that actually keep recurring, ranked by clause, department and audit type.
Dashboards answer the questions you thought of when they were built. Dhruv AI covers both halves: live role dashboards 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 audit records. Questions are answered through pre-defined analytical views, and every AI-drafted query is validated before it runs.
Everything runs on the audit, finding and closure data you already capture in Fast Audit Software — no exports, no separate data warehouse project.
The programme already runs on plans, checklist entries and NC closures. Dhruv AI puts the management layer on top: an auditee sees open corrective actions and due audits; an auditor sees assigned audits and open findings; an HOD sees NCs by clause, department and audit type with closure ageing — all reading the same live data as the dashboards and audit reports.
Reading a dozen charts before a management review is work someone always skips. One click asks Dhruv AI to summarise the dashboard in front of you into short written insights — where NCs are trending, which clause keeps repeating, where closures are ageing and which audits are slipping against the plan.
Letting an AI near your audit 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.
Discrepancy remarks are free text — every auditor words the same finding 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 clause and department, each theme tells you not just what keeps recurring, but where — which clause and which area — so the findings and NC review starts from the real Pareto, not a hunch.
Open findings, closure ageing, NCs by clause, department and audit type, and answered-vs-total progress — over live findings and CAPA data.
One-click written analysis of the dashboard you're viewing — where NCs trend, which clause repeats, which closure is ageing — regenerated whenever the data changes.
Questions about audit history answered as data plus a written summary — no report writer, no SQL, no waiting on IT.
Free-text discrepancy and observation remarks clustered into recurring themes with AI-generated labels, ranked by clause and department — the Pareto view of what keeps recurring.
Finding themes carry the clause, the audit and whether the NC was fresh or repetitive, plus its closure time — so analytics reflect the outcome, 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 management review. In a 30-minute demo we'll connect Dhruv AI to sample audit data and answer it in front of you.
