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Product

AI CMS

An intelligence layer that adds AI on top of your existing complaint system — no rip-and-replace.

90%complaints auto-routed to the right officer
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AI CMS — Stark Digital
The problem

Across 8 departments and 7 citizen channels, complaints arrive in Marathi, Hindi and mixed language. A clerk guesses the category and forwards it; if the ward or department is wrong it bounces or sits. Duplicates pile up, SLA breaches surface only in the monthly review, and citizen trust erodes.

What it does

Capabilities.

01

Auto-categorisation & routing

Reads a complaint in Marathi, Hindi, English or mixed language, classifies it into your exact categories with a confidence score, and routes it to the right ward, department and officer in under 30 seconds.

02

Duplicate detection & grouping

Compares every new complaint against active tickets and flags likely duplicates with a merge suggestion — 47 reports of one broken drain become one master ticket, not 47 site visits.

03

SLA-breach prediction

Predicts which complaints will breach SLA in the next 24 hours from category, ward workload and history, and auto-escalates them up the ladder before the citizen calls the corporator.

04

WhatsApp voice-note intake

A citizen sends a WhatsApp voice note in Marathi; AI transcribes it, understands the problem and files the complaint automatically.

05

Officer & commissioner views

Officers see only their ward, workload and deadlines; the commissioner gets a city-wide heatmap, red alerts for breaches and trend lines by department.

06

Sits on your existing system

Connects to Swachhata, Aaple Sarkar and your current software where APIs exist and builds secure sync layers where they don't — your software keeps running, intelligence is added on top.

How it works

The process.

01Day 1Working intake live on web + WhatsApp.
02Week 2Auto-routing live for the top 5 complaint categories.
03Week 6Full dashboard + SLA engine for all officers.
04Month 3AI predictions and pattern detection city-wide.
Proof

By the numbers.

30s

to auto-route a complaint — vs a 2–3 day manual lag

12%

of complaints auto-merged as duplicates (from 23% of volume)

21 days

to a working AI prototype

Where it applies

Use cases

Water SupplyRoads & DrainageSanitation & SWMBuilding & Town PlanningStreet LightingHealth & MedicalRevenue & Property TaxGarden & Environment
Why us

What sets it apart

  • On-prem by default — data stays on your server
  • No rip-and-replace — adds intelligence on top
  • 3-3-3 model: bounded scope at every stage
  • Reuses government-grade components, not built from scratch
Security & compliance

Built for trust.

On-prem (no cloud dependency)
Full audit trail
Integrations
SwachhataAaple SarkarExisting complaint systems
Deployment
On-prem (default)NIC / MeitY cloud

Let's scope your next platform.

No obligation. A senior engineer reviews your requirement and maps it to a concrete, costed delivery plan.