Industry · Public sector & NGOs

Citizen-scale conversations across languages.

Public sector teams and NGOs use Vocily AI for helplines, awareness drives, and citizen feedback — across the languages communities actually speak.

The problem

Reach is bound by who picks up the phone.

Public-sector helplines and NGO outreach are bound by staff hours, language skills, and call-center capacity. Awareness drives reach a fraction of the target population. Vocily AI multiplies reach without diluting empathy — same script, same compliance, just at scale.

Problem · Solution

The problem today

Citizen helplines and outreach programs are bound by staff hours, language skills, and call-center capacity. Awareness drives reach a fraction of the target population — and the ones reached often hear a script in a language they don't fully follow. Feedback surveys depend on a small team calling thousands; data quality drifts under load. Surge events (a deadline, a relief campaign, a new scheme) hit the queue at exactly the wrong moment. Programs end up reporting reach instead of outcomes.

How Vocily AI handles it

  • Inbound surge absorption

    Vocily AI picks up every call during deadline surges, awareness pushes, or relief windows — no caller hits a busy signal.

  • 22+ Indian language coverage

    Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Gujarati, Punjabi, Odia, Assamese and more — picked by region or detected live.

  • Consent-led intake

    Every beneficiary call opens with a clear program disclosure and consent capture — stored alongside the recording for transparent reporting.

  • Empathy-tuned escalation

    Sensitive cases (distress signals, complaint language, vulnerable callers) are routed to your staff with the full conversation context.

  • Per-program reporting

    Custom analysis turns every call into structured reportable data — coverage by district, language, gender, and outcome category.

Agents you can ship

Patterns we've seen work for public programs.

Hindi · Tamil · Bengali · Telugu

Citizen helpline pickup

Inbound — picks up before transfer to staff

  • Listens, captures intent, routes by topic
  • Answers basic program FAQs from KB
  • Transfers sensitive cases to staff
Hindi · Marathi · Gujarati

Awareness drive agent

Outbound — at-scale outreach campaigns

  • Explains the program in caller's language
  • Captures consent and interest cleanly
  • Logs structured beneficiary intake
Hindi · Kannada · Telugu

Feedback collection

Outbound — post-program feedback at scale

  • Asks structured rubric questions
  • Captures verbatim responses
  • Produces a CSV-ready record per call

How the conversation runs

Conversation, then action.

Step 01

Define the program

Set the agent's role, language profile, and tools for the program.

Step 02

Run the calls

Inbound helpline pickups or outbound awareness batches.

Step 03

Capture

Beneficiary responses and feedback are captured on the execution.

Step 04

Report

Custom analysis produces the metrics your program needs.

Per-program report

Listen in

A scholarship-awareness call.

Tamil

Vanakkam. Naan State Education Department-il irundhu pesren. Ungal ponuku scholarship application open aagiyirukku — therinjudhaa?

Hi, I'm calling from the State Education Department. The scholarship application is open for your daughter — did you know?

Illa, theriyala.

Application March 30 vara open. SMS-la link anuparen. Eligibility-kku Class 10 marks kekkanum — venuma?

Captures interest + sends SMS

Aamam, send pannunga.

Illustrative — real call flows run end-to-end inside Vocily AI

Common questions

What teams ask before they switch.

Yes. Each program gets its own workspace, agents, phone numbers, knowledge base, and reporting. A scholarship-awareness team can't see a women's-helpline workspace, and vice versa.