Government · Citizen service chatbots
Citizens wait hours for answers a chatbot can give in 30 seconds
Banao builds multilingual citizen service chatbots for government departments — on WhatsApp, web portals, and IVR — that answer eligibility questions, surface application status, and route complex cases to the right officer, without a queue.
The system works inside your data-residency and security requirements, integrates with existing case management and department backends, and keeps a named official in the loop for every decision that needs one.
What a Banao citizen chatbot deployment includes
A chatbot that handles eligibility and status is only part of the work. We build the backend integrations, the handoff workflows, and the audit trail — because public-sector AI needs to be accountable, not just capable.
Multilingual conversation on WhatsApp, web, and IVR
Citizens reach the chatbot on the channel they already use — WhatsApp, the department portal, or a toll-free IVR line. The model handles English, Hindi, and regional languages with the same response quality across all three.
Scheme eligibility and benefit queries
The chatbot walks citizens through eligibility criteria for welfare schemes, subsidies, and permits — and tells them which documents to bring before they arrive at the counter, cutting invalid visits.
Application status without a counter visit
Citizens query live application and grievance status by ID or registered phone number. The model pulls from your case management system and returns plain-language answers, not raw database codes.
Smart handoff to the right officer
When a query needs a human — a legal edge case, a complaint escalation, a document dispute — the chatbot routes to a named officer with full interaction context attached, so the officer does not start the conversation from scratch.
Audit trail and compliance logging
Every interaction is logged by citizen identifier, channel, query type, and resolution — so supervisors can audit coverage, identify gaps in answers, and evidence accountability under RTI obligations.
Integration with existing department systems
We wire the chatbot into your case management, permit, and grievance backends via secure API. No replacement of core systems — a channel layer that sits on top of what your department already runs.
We run AI in our own operation before yours
Banao operates a 300-person engineering company on its own AI products. InterviewGod screens every engineering hire before a recruiter opens the pile. Vikaas runs our own demand-generation pipeline end to end.
When we deploy a chatbot that handles high-volume public queries, it is built to the same standard we hold our own mission-critical internal systems to — not a prototype assembled for the demo.
- InterviewGodScreens Banao's own engineering hires every week.
- VikaasRuns Banao's own demand-gen pipeline end to end.
When a citizen chatbot is not the right call
Chatbots earn their keep on high-volume, repeatable queries. We tell you before you build when the conditions are not there:
- Low query volume: if a help desk handles a few dozen calls a day, a trained operator costs less than an AI build. We will say so.
- Queries with no stable pattern: if citizen questions span too wide a range — or shift month to month — the model will underperform and add friction. The Discovery Sprint surfaces this before any code is written.
- No viable backend integration: a chatbot that cannot pull live application status gives answers that are stale or wrong. Integration feasibility is the first thing we audit, and if the path is blocked, we document what it takes to clear it.
How we start — without committing to a full build
We do not scope a government chatbot off a slide deck. We look at your actual query logs and department backends first.
- AI Discovery Sprint2 weeks · fixed price
We analyse a sample of real citizen queries, audit your backend integration paths, and return a scope estimate, a language-coverage plan, and the business case — yours to keep regardless of whether you proceed. The Sprint fee is credited against the build if you go ahead.
- Build
Train the model on your query corpus, build and test multilingual conversation flows, integrate with department backends, and wire the officer handoff logic into your case management system.
- Production and continuous improvement
Channel deployment with supervisor dashboards, officer handoff tooling, and a retraining cadence — so the chatbot improves as query patterns change rather than drifting stale over time.
Frequently asked questions
Which languages can the chatbot handle?
English, Hindi, and the regional languages most common in your citizen base. Language coverage is agreed during the Discovery Sprint based on your actual query logs — we do not add language support that has no real query volume behind it.
Can it connect to our existing case management system?
Yes. We build the backend integration as part of the engagement — a secure API connection to your permit, grievance, or case management system. If an integration path does not exist yet, the Discovery Sprint documents what it would take to create one before any build begins.
How does it handle legally complex or sensitive queries?
The chatbot is scoped to answerable queries — eligibility criteria, application status, document requirements. Anything requiring a legal judgement or a discretionary decision is routed to a named officer with the full interaction context attached. Every such handoff is logged.
What happens when a citizen provides incorrect or incomplete data?
The model validates structured inputs — application IDs, phone numbers — before querying your backend, and tells the citizen what to correct. Unresolvable queries are logged and routed to the help desk. The chatbot does not silently fail or return a misleading answer.
How is the chatbot's performance audited?
Every interaction is logged by citizen identifier, query type, channel, response, and resolution — self-served or handed off. Supervisors can export logs for RTI compliance and review any conversation for accuracy. Monthly accuracy reports are part of the production deliverable.
Bring us your busiest counter and your backlog
In 45 minutes we will tell you whether a citizen chatbot cuts the queue for your department — and what realistic query-coverage numbers look like before a line of code is written.
Book a 45-min scoping call