Industries · Government
Banao builds and deploys AI for public-sector departments and agencies — multilingual citizen chatbots, paper-to-database digitization, grievance routing, permit processing, and fraud detection — wired into the systems your staff already use.
Every capability below is built to run inside your security and data-residency rules, on-premise or in a sovereign cloud. We deliver working services, not feasibility decks.
CP Plus— computer vision added to public-safety cameras a city already owns, no rip-and-replace.
Each of these is a queue, a backlog, or a leak with a real cost behind it — citizen wait time, staff hours, or public money lost. We start where the cost is countable.
Multilingual assistants on WhatsApp, web, and IVR that answer scheme eligibility, application status, and routine FAQs, and hand off to a named officer when a question needs one.
OCR and handwriting extraction that turns registers, files, and paper forms into a searchable database — the opening deliverable that gives every later model something to work on.
Plain-language search across digitized records, case files, and RTI responses, so a clerk finds the right file in seconds instead of walking the records room.
Auto-classification and routing of citizen complaints with SLA tracking, so nothing sits unassigned and supervisors see where redressal is slipping.
Application data extracted and checked for completeness, missing documents flagged at intake, and clean cases fast-tracked — fewer counter visits, shorter approval times.
Anomaly models over beneficiary, procurement, and payment data that surface duplicate claims, ghost entries, and outlier spend before an audit does.
Metrics shown dotted (··) are being finalised for our case-study metrics pack. The work is live; we will not publish a number before it is verified.
CP Plus
Banao adds a computer-vision layer to existing CP Plus camera networks — the kind cities and agencies already run for surveillance — to flag safety, crowd, and compliance events in real time rather than after a clip is reviewed by hand. The hardware stays on the wall; the intelligence is the upgrade.
Majra UAE
For Majra, a UAE national platform, Banao built applicant-facing digital services — structured intake, status tracking, and an assistant that answers in plain language — so people resolve routine requests online instead of in a queue, all within the platform's own governance and data rules.
Banao operates a ~300-person engineering company on its own AI before any department sees it. InterviewGod screens our hires. Vikaas runs our own demand generation. We are our own first deployment.
For a government buyer who has watched pilots stall, that matters: the systems we propose are ones we depend on daily, not demos built for a tender. The version that reaches your office has already had to survive ours.
Plenty of vendors will sell a department any model on the price list. We would rather name where AI is the wrong tool — it is why procurement officers take our second meeting.
You have sat through vendor demos and audit findings already. We start by costing the problem and the data, not by quoting a build.
On-site at your office if needed. You leave with a ranked list of AI opportunities, baseline numbers on the current backlog and its cost, and a go/no-go per opportunity — yours to keep. Proceed, and the Sprint fee is credited against the build.
Digitization and data engineering first, then the model. We treat the records pipeline as a deliverable and integrate with your existing department software, on-premise or in a sovereign cloud as your rules require.
Deployment with staff training, an audit trail, and a human-in-the-loop step on every citizen-facing decision. We hand over documentation and run a support window — not a black box you cannot reopen.
Our records are still on paper. Does that rule us out?
No — that is usually step one. Banao digitizes registers, files, and handwritten forms with OCR as the opening deliverable, so the AI has a database to work on. Clearing the paper backlog is the project's first measurable win, not a blocker.
Can the data stay inside our network?
Yes. We deploy on-premise or in a sovereign/government cloud and work within your data-residency and security rules. Citizen data does not have to leave your environment for any capability we build.
We must keep a human accountable for decisions. How does AI fit?
Every citizen-facing decision keeps a human in the loop. The model drafts, routes, or flags; a named officer approves. The system records who decided what and when, so the audit trail is stronger than a manual process, not weaker.
How do we justify spend before committing public money?
That is the point of the fixed-price Discovery Sprint. In two weeks you get the current cost of the backlog and a go/no-go you keep either way — enough to take to a finance or tender committee without having signed a build.
We are short of in-house technical staff. Who runs this afterward?
Banao's ~300-engineer bench delivers and then trains your team, with a documented handover and a support window. You are not left depending on one contractor or a single departing official.
Bring your worst queue — citizen complaints, pending permits, or a records room full of paper. In 45 minutes we'll map the AI opportunity and the numbers behind it.
Book a 45-min scoping call