End-to-end autonomous
Places outbound calls or answers inbound. Handles the full conversation without any human on standby.
AI voice agents · Kolkata, West Bengal
Autonomous AI voice agents for Kolkata teams.
AI voice agents that place or answer calls end-to-end — no human agent required for the routine 80%. Speaks Hindi, English, and regional Indian languages. Warm-transfers to a human when the conversation needs one.
Why Kolkata teams pick dialque
Built for Kolkata, not adapted to it.
Eastern India's BFSI + IT hub — where Bangla-first support unlocks conversations English-only agents can't reach, and cost-per-talk-minute economics matter more than in metros.
Business districts we serve
- Salt Lake Sector V
- New Town
- Park Street
- BBD Bagh
- EM Bypass
Industries in Kolkata
- BFSI
- IT services
- Engineering
- Healthcare
- Government-adjacent
What Kolkata teams use dialque for
Regional banking KYC verification, appointment reminders in Bangla, engineering RFQ status inquiries — AI voice agents in Bangla unlock volumes that Bengali-first callers won't engage with in English.
What you get
Everything a Kolkata contact centre needs, in one platform.
Hindi + regional languages
Auto-detects the language from the caller's first utterance. Handles Hinglish + code-mixing natively.
Warm handoff to humans
When the caller frustrates or asks something out-of-scope, transfers with a real-time conversation summary.
Same TRAI compliance
DLT + NDNC + 9-21 window enforced at the dialer, just like your human-agent campaigns.
Compliant with TRAI, DPDP Act, and every Indian carrier requirement.
DLT template enforcement, NDNC scrub at queue import, 9 AM – 9 PM calling-window guard, TRAI 3% abandon-rate pacing, DPDP-compliant recording storage. Everything a Kolkata bfsi operator would flag in an audit is handled at the platform level, not documented as an add-on.
Languages in Kolkata calls
dialque handles code-mixed conversations natively. For Kolkata calls this typically means English, Bengali and Hindi— English-only IVRs fail Tier-2 and Tier-3 callers, and AI call summaries are produced in the language the call actually happened in.
Support for Kolkata teams
dialque is a remote-first team serving Kolkata contact centres India-wide. Video demos same day; async support over email + WhatsApp; the product runs the same way whether your team is in Salt Lake Sector V or anywhere else in West Bengal.
FAQ
Kolkata-specific questions we get asked.
- Do we need an India PoP for our SIP trunk to keep the AI agent's Bengali TTS latency acceptable in Kolkata?
- Yes — we recommend an Indian PoP for the trunk so media stays in-country and RTT to East India stays under ~40ms. Most Kolkata teams in Salt Lake Sector V and New Town run the AI voice agent on the same Indian SIP trunks they already use for outbound (Plivo, Knowlarity, Tata Tele, Ozonetel, or a direct ILD-licensed provider). Bengali TTS turn-taking gets noticeably jerky above ~120ms one-way media latency, so PoP proximity matters more here than for English-only agents in Delhi or Mumbai.
- Does the voice agent actually understand Bengali, or does it just fall back to English mid-call?
- It handles Bengali end-to-end — recognition, LLM reasoning, and TTS — and code-switches naturally between Bangla, Hindi, and English the way most Kolkata callers actually speak (a BFSI collections prompt in Bangla, a policy-number readback in English, a follow-up in Hindi if the customer switches). You configure the primary language per campaign; the agent detects switches on the fly. For complex intents it warm-transfers to a human agent in the same language thread.
- We're a BFSI collections team in BBD Bagh doing early-bucket recovery — can the AI agent handle those calls?
- Yes, early-bucket (0–30 DPD) reminder and PTP-capture calls are the strongest fit for teams around BBD Bagh and Park Street. The agent dials the bucket in Bangla or Hindi, confirms identity, states the outstanding amount, captures a promise-to-pay date, and either books a payback or warm-transfers to a human collector for anything past a scripted objection. TRAI-compliant pacing is enforced, and your existing call-recording, disposition, and DPD reporting continues to work.
- How does the AI voice agent handle West Bengal state holidays and TRAI calling windows during festival calling?
- West Bengal has a heavier state-holiday calendar than most Indian states (Durga Puja alone is a 4–5 day non-working window for consumer calling, plus Bengali New Year, Vijaya Dashami, and Lakshmi Puja), and the AI voice agent honours these in the campaign schedule so a BBD Bagh BFSI recovery campaign doesn't dial during Ashtami or Navami. On top of that, the standard TRAI stack — 09:00–21:00 window enforced by LSA, DLT-registered headers, DND scrubbing against NCPR, mandatory automated-caller disclosure, consent capture and recording — applies exactly as it does elsewhere.
- We're on EM Bypass and our IT team is small — what does setup and ongoing support in Kolkata look like?
- Setup is remote-first and typically takes one to two weeks — SIP trunk connection, Bangla / Hindi / English voice and prompt design, CRM webhook wiring, and a shadow UAT batch against a sample list before you cut live traffic over. Support runs on IST business hours over Slack, email, and phone with an on-call rota for production issues, and a solutions engineer joins your first two campaigns to tune prompts and handoff thresholds.
- We're on Ozonetel / Exotel for outbound — how painful is migrating, and is cost-per-minute actually lower?
- Migration keeps your existing trunk and numbers — we sit in front of them, so you don't re-KYC the DIDs your Kolkata floor already uses. Scripts, dispositions, and lead lists import via CSV or API; parallel-run for a week is the norm before cut-over. On cost: because the AI voice agent replaces tele-caller minutes rather than adding to them, teams typically see per-conversation cost drop materially versus a human-only floor, and you scale concurrency up or down without adding tele-caller headcount, since the AI agent's capacity is provisioned rather than hired.
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