Ask your complaint
data anything.
Dhruv AI answers.

Dhruv AI is the Fast Suite's own AI and BI module, wired into Fast Complaint Software. It puts role dashboards on live ticket data, writes insight summaries for you, answers plain-English questions straight from your complaint history through a read-only security sandbox — and clusters thousands of complaint remarks into the handful of defect themes that actually keep recurring.

Live
dashboards straight from ticket data
Read-only
every AI query passes a security sandbox
8D-backed
themes carry root cause and corrective action
Ask Dhruv
Natural-language answers · complaint data
Connected
Complaints Feedback & CSI Service tickets
Which complaint categories took longest to close in the last two quarters?
Sandbox-checked · read-only query · analytical views
Seal & gasket failures closed slowest, followed by dispatch damage. Both age mainly in the investigation stage; dispatch damage improved after the packaging corrective action.
Seal & gasket failureslowest to close · ageing in investigation
Dispatch damageimproving since packaging CAPA
Billing disputesfastest to close
Query validated Read-only · whitelisted views only
Trusted by teams running the Fast Suite across India and the Gulf
Nikhtish Engineering
Mutha Ventures
Mubea Automation
Igloo Frozen
BioResource Biotech
GLO-IND
Supertex Industries
MMB Bahrain
MMB Kuwait
Finolex Industries
Nikhtish Engineering
Mutha Ventures
Mubea Automation
Igloo Frozen
BioResource Biotech
GLO-IND
Supertex Industries
MMB Bahrain
MMB Kuwait
Finolex Industries
Two ways in

See your complaints. Then ask
the questions the dashboard can't

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.

See it
Role dashboards & AI insights
Executives, quality managers and service heads each get a dashboard over the same live complaint data — open vs closed, ageing, categories, repeat issues, feedback. One click adds an AI-written summary of what the numbers are actually saying.
Executive summary Ageing & SLA view Category trends AI insight bullets
Ask it Flagship
Plain-English answers
Type the question the way you'd ask a colleague. Dhruv AI drafts a read-only query, the security sandbox validates it, and you get the data plus a plain-language answer — from your live complaint history, not a stale export.
Question → answer Read-only sandbox Whitelisted views only Data shown with the answer
How a question becomes an answer

Plain English in. Sandboxed query.
Data and answer out.

Dhruv AI never touches your raw ticket records. Questions are answered through pre-defined analytical views, and every AI-drafted query is validated before it runs.

You Ask
"Which customers raised repeat complaints this year?" — typed the way you'd say it
Dhruv Drafts a Query
The AI translates your question into a read-only query against the analytical views built over your complaint data
Sandbox Validates
SELECT-only, whitelisted views only, write and admin keywords blocked, stacked statements rejected — or the query never runs
Data + Answer
You get the result set and a plain-language summary — so the answer is checkable, not a black box
What Dhruv AI gives you

Six kinds of complaint intelligence,
one module over your live tickets

Everything runs on the complaint and service-ticket data you already capture in Fast Complaint Software — no exports, no separate data warehouse project.

Live ticket data Your role
Role dashboards
Executive, quality and service views over the same live complaint data — no waiting for a monthly MIS deck.
Open vs closed and ageing
Category and customer slices
Trend lines by month
Drill-down to the ticket
Dashboard AI summary
AI insight summaries
One click turns the dashboard you're looking at into short, written insights — what moved, what's ageing, what deserves attention.
Bullet-point analysis on demand
Written from the live numbers
Reads like a review note
Ready for the management meeting
Question Answer
Plain-English Q&A
Ask about ageing, repeat customers, categories, closure discipline — Dhruv answers from complaint history with the data attached.
No report writer needed
Answer plus underlying data
Runs on live tickets, not exports
Sandbox-validated every time
Remarks Themes
Defect-theme clustering
AI groups free-text complaint remarks into clusters of similar issues and names each cluster — Pareto analysis without a spreadsheet weekend.
Similar complaints grouped automatically
AI-generated cluster labels
Recurring themes surfaced early
Choose how many clusters to see
8D CAPA Context
8D-backed complaint view
Each complaint carries its investigation context — root cause, corrective actions, lessons learned — from the 8D CAPA process.
Root cause alongside the complaint
Corrective actions visible
Lessons learned retained
Themes judged by what the fix was
Every AI query Sandbox
Security sandbox
AI access is read-only by design. Queries are validated before execution and can only touch the analytical views you've whitelisted.
SELECT-only, no writes ever
Whitelisted analytical views only
Admin and system keywords blocked
Connection credentials stored encrypted
01 — Role Dashboards

The complaint picture,
live, for every role

The complaint desk already runs on tickets, due dates and follow-ups. Dhruv AI puts the management layer on top: an executive sees volumes, ageing and satisfaction direction; a quality manager sees categories, repeat defects and investigation load; a service head sees workload and closure discipline — all reading the same live data as the complaint ticketing screens.

Live — no exports, no month-end MIS lag
Ageing and SLA pressure visible at a glance
Slice by category, customer, owner and period
Connect more than one company database
Complaint Dashboard — This Quarter
Open tickets47
Ageing > 7 days9 need attention
Closed this quarter214
Verified closuresAll supervisor-released
Top categorySeal & gasket failure
8D statusCAPA in progress
Repeat complainants3 customers
Flagged forAccount review
Illustrative dashboard · reads live ticket data through analytical views
02 — AI Insight Summaries

The dashboard shows the numbers.
Dhruv writes the meaning.

Reading twelve charts before a review meeting is work someone always skips. One click asks Dhruv AI to summarise the dashboard in front of you into short written insights — where volume is shifting, which categories are ageing, where the follow-up discipline from SLA & escalation is holding and where it isn't.

Written from the same live data the charts use
Bullet points, not a wall of prose
Regenerate any time the data moves
A head start for the management review, not a replacement for it
AI Insights — Complaint Dashboard
Generated from the live view
Seal & gasket complaints are the largest open category and age mostly in the investigation stage.
Dispatch-damage complaints are trending down since the packaging corrective action went in.
Three customers account for a disproportionate share of repeat complaints — worth an account-level review.
Feedback response after closure is strong; low ratings concentrate in billing-dispute tickets.
Illustrative output · regenerate on demand
03 — Ask in Plain English

Every question runs read-only,
through a security sandbox

Letting an AI near your complaint 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.

The AI reads curated views — never raw ticket tables
Answers show the data alongside the summary
Database credentials held encrypted
Your operational system stays untouched
Sandbox checks — every AI query
Statement type
What the query does
Read-only SELECT
Anything else rejected
Data scope
What it may touch
Whitelisted views only
No raw tables
Write keywords
Insert, update, delete, drop…
Blocked
Query refused outright
Stacked statements
Multiple queries chained
Rejected
One statement at a time
Comment obfuscation
Hidden instructions in comments
Stripped
Before validation
04 — Defect Themes, Backed by 8D

A thousand remarks become
five themes — with the fix attached

Complaint remarks are free text — every customer 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 complaint view carries 8D CAPA data — root cause, corrective actions, lessons learned — each theme tells you not just what keeps happening, but what the investigation found and whether the fix is holding.

Differently-worded complaints about the same defect land in one cluster
Labels generated automatically — rename them if you like
Root cause and corrective action visible per theme
Feeds the Pareto discussion in your ISO 9001 management review
Recurring Defect Themes
AI-labelled
Seal & gasket leakageRoot cause: material spec · CAPA: supplier change
38 tickets
Dispatch & transit damageRoot cause: packaging · CAPA: crating standard
21 tickets
Motor overheating on loadRoot cause: under review · 8D in progress
12 tickets
Billing & documentationNon-product · routed to accounts
9 tickets
Full capability set

Everything Dhruv AI adds to your complaint desk

Role Dashboards

Executive, quality and service views over live complaint and service-ticket data — volumes, ageing, categories, repeat issues, feedback direction.

AI Insight Summaries

One-click written analysis of the dashboard you're viewing — what moved, what's ageing, what needs a decision — regenerated whenever the data changes.

Plain-English Answers

Questions about complaint history answered as data plus a written summary — no report writer, no SQL, no waiting on IT.

Defect-Theme Clustering

Free-text complaint remarks clustered into recurring themes with AI-generated labels — the Pareto view of what actually keeps going wrong.

8D CAPA Context

Complaints carry root cause, corrective actions and lessons learned from the 8D investigation — so analytics reflect the fix, not just the symptom.

Read-Only by Design

A security sandbox validates every AI-drafted query — SELECT-only, whitelisted analytical views, blocked write keywords, encrypted connection credentials.

"The complaint data was always in the system — the answers weren't. Now I ask Dhruv the question in the review meeting and we look at the data together, in the meeting, instead of assigning someone a report for next week."
QH
Quality Head
Engineering manufacturer — Maharashtra
Read-only
the AI reads whitelisted analytical views — it cannot touch, change or delete a single ticket record
One module
dashboards, insight summaries, plain-English answers and defect clustering over the same live complaint data

Ask your own complaint data
a question — live

Bring a real question from your last management review. In a 30-minute demo we'll connect Dhruv AI to sample complaint data and answer it in front of you.

Get a demo See pricing
Read-only security sandbox Runs on your live ticket data Works standalone or with the Fast Suite On-premise or cloud