Autonomous
Places outbound calls or answers inbound. No human agent required for the routine 80% of conversations.
AI Voice Agents
Autonomous AI calling — no human agent required.
An AI voice agent that places and receives phone calls end-to-end. Handles the full conversation in Hindi, English, or regional Indian languages. Hands off to a human when the call needs one. Same compliance rails as your human-agent campaigns.
What it does
End-to-end conversations, not menu trees.
An AI voice agent has a real conversation. It listens, adapts to what the caller says, updates your CRM, and knows when to escalate to a human. Very different from a rigid IVR.
India-multilingual
English, Hindi, Tamil, Telugu, Marathi, Bengali — production-ready. Handles Hinglish and code-mixing natively.
Warm handoff
When the caller needs a human, the AI transfers with a real-time summary. The agent picks up with full context.
TRAI-compliant
DLT template enforcement, NDNC scrub, 9 AM–9 PM window — identical rails as your human campaigns.
AI-to-human transfer
The seamless AI-to-human transfer nobody else ships.
Every other AI voice stack either can't transfer to a human, cold-drops and re-dials, or hands you two recording files to stitch. dialque runs the AI turn and the human turn as one SIP session with one recording, one transcript, and a real-time context handoff — because we own the Asterisk layer end-to-end.
One continuous conversation
Not a cold transfer, not a fresh dial to the human. The same SIP session carries the AI turn and the human turn — customer's leg never drops. AI bridges the human in, then leaves the call cleanly.
One recording, one transcript
The whole conversation lands as a single WAV or MP3 with a single transcript — speaker label flips from AI to AGENT mid-call. QA reviews one file. Auditors get one artefact per case, not two to stitch.
Human joins warm, not cold
Before the human picks up, a real-time summary is delivered to their browser softphone or whispered to their mobile — name, intent, account, what the AI already collected. First line is the next step, not "can you repeat that?"
How it works, on the wire
- Step 01
AI runs the call and collects context
Inbound or outbound, the AI voice agent handles the conversation in Hindi, English, or a regional language — verifying identity, capturing intent, filling the CRM fields. Every turn is transcribed live.
- Step 02
Transfer trigger fires
The customer explicitly asks ("mujhe person se baat karni hai") or the LLM classifies the case as escalation — compliance, negotiation, sensitive. The AI acknowledges and initiates the bridge.
- Step 03
Human joins the same session
Round-robin or ring-all across available humans on WebRTC softphone or mobile. Before they answer, the real-time summary lands on their screen or is whispered on the line. AI drops off — customer's SIP leg stays live throughout.
- Step 04
One recording covers the whole arc
Recording and transcript keep rolling across the handoff. Disposition marks "Transferred to human", billed seconds cover both legs, and QA opens a single file to review the full journey.
How other AI voice providers handle the handoff — vs how dialque does it
| Dimension | Generic AI voice providers | dialqueAI |
|---|---|---|
| SIP session continuity | AI hangs up and originates a fresh SIP INVITE to the human agent's number — two distinct sessions, distinct Call-IDs, distinct billing legs. | One SIP session runs the whole conversation. The AI bridges the human in, then drops itself off — the customer's leg never terminates. |
| Recording file count | Two recordings — one for the AI leg, one for the human leg. QA teams stitch them by hand, or accept a gap. | One continuous WAV or MP3 covering AI turn plus human turn. One URL, one play button, one download. |
| Transcript continuity | Two transcripts, often in different formats — the AI vendor's JSON on one side, the contact-centre's CSV on the other. | One transcript. Speaker label flips from AI to AGENT mid-call. Same schema, same timestamps, same file. |
| Context handoff to the human | Human picks up cold. No summary, no CRM push, no whisper — they hear the customer mid-sentence and start over. | Real-time summary lands in the human's browser softphone or is whispered before their mobile connects — name, intent, account, what the AI already collected. |
| Does the customer re-explain? | Almost always yes. The human's first line is some version of "can you tell me what this is regarding?" | No. The human opens with the next step, not the first question. CSAT and AHT both move. |
| Compliance defensibility | Two artefacts per case. RBI FPC and IT Act 2000 auditors treat a spliced or gapped recording as a chain-of-evidence weakness. | One evidentiary artefact per call. No gap for opposing counsel to argue was tampered with. Clean audit trail. |
The handoff is the kind of thing you have to hear to trust — the customer's line never cuts, the AI hands the human the context, and the recording keeps rolling. Book a demo and we'll run a live transfer end-to-end on the call itself.
Where AI voice agents work
Predictable calls with a defined outcome.
AI voice agents shine on repeatable, narrow-scope conversations. For high-value or emotionally complex calls, they should escalate — not attempt.
Fits the AI agent
- Appointment reminders + confirmations
- Payment / EMI reminders (soft-touch collections)
- Post-service feedback + CSAT surveys
- Lead qualification (BANT / demographic screening)
- Order-status inquiries — "where is my delivery"
- Simple Q&A that would otherwise clog the helpdesk
- Missed-call callback flows
- Voice OTP delivery (accessibility use case)
Keep a human on the phone
- High-value sales conversations (₹50k+ ACV)
- Complex debt recovery — requires negotiation
- Complaint resolution — empathy matters
- Regulated advisory (financial, medical, legal)
- Multi-turn commercial negotiation
- Anything where trust needs to be built call-by-call
For these, the AI should gather context and warm-transfer to a human — not attempt the full conversation itself.
The economics
Materially cheaper per conversation — for the right calls.
Two very different cost structures. The math flips in AI's favour once the conversation is scoped narrowly enough that the agent can handle it end-to-end.
Human agent
Anchored by salary
- Loaded agent CTC + statutory overheads
- Effective talk time capped by dial mode + list quality
- Post-call CRM work eats into billable minutes
- Cost scales linearly with headcount
Predictable, but every additional call needs an additional agent-hour.
AI voice agent
Anchored by usage
- Voice AI unit cost (ASR + LLM + TTS) charged per minute
- Carrier passthrough at direct trunk rates — no markup
- No agent salary, no idle-time cost
- Scales with call volume, not headcount
Materially cheaper per conversation for calls the AI can handle end-to-end.
The advantage only holds where the AI is capable of the conversation. For sales or complex support, "cost per successful outcome" flips because AI success rate is lower — the AI-first + human-escalation pattern is what makes the math work.
Want the numbers for your team size?
Book a 15-min call — we'll walk through your specific volume, list quality, and target use cases.
How it runs
AI-first, human on escalation.
In production, this pattern handles ~80% of calls fully by the AI while preserving the human touch where it matters. Team-level economics improve dramatically.
- 1
AI initiates the call (outbound campaign) or answers (inbound DID).
- 2
Handles the routine flow — identity verification, appointment confirmation, payment reminder, first-line Q&A — end-to-end.
- 3
Detects an escalation signal — caller frustration, out-of-scope question, complex objection, or an explicit "let me speak to a human".
- 4
Warm-transfers to an available human agent, passing a real-time summary of the conversation so far.
- 5
Human agent picks up with full context on their screen — no "let me look up your account" delay. Call quality stays high.
TRAI compliance
Same rails as your human campaigns.
- DLT enforcement
- Templates registered under your Principal Entity. Campaigns refuse to dial without an approved template.
- NDNC scrub
- Dial lists checked against NCPR at import. Blocked numbers logged with reason.
- 9 AM – 9 PM window
- Enforced at the dialer, not the AI. Scheduled callbacks that fall outside get rolled to the next day.
- Zero abandon rate
- AI is always available — no dropped calls. TRAI's 3% cap is structurally impossible to violate.
We open every AI call with a natural disclosure — "Hi, this is dialque's AI assistant" — because deceptive AI conversations backfire on CSAT and forward-looking regulation.
Getting started
Live in one day for a defined use case.
AI voice agent is a dial mode in dialque — the fifth alongside manual, power, progressive, predictive, and preview. Same admin panel, same reporting, same integrations.
- Well-defined use case
Appointment reminders, payment reminders, feedback surveys — 1 day from campaign creation to first live call.
- Custom prompt
Bespoke conversation flows with several iteration cycles — plan for 3–5 days including prompt tuning.
Frequently asked
Questions, answered.
Still curious? Email us — a real engineer will get back to you within a business day.
dialque is built for revenue teams, not BPOs. Setup takes minutes, the UI focuses on the rep, and the AI features (summaries, talk-ratio, sentiment) are first-class — not bolted on. We carry the SLA, the carriers, and the compliance work so you do not have to.
No — BYOC is your choice, not a requirement. dialque ships with redundant Tier-1 Indian carriers covering all 22 LSAs on every plan, so you can go live without a carrier contract of your own. If you prefer to bring one — Tata, Airtel, Reliance, BSNL, VilPower, or any other DOT-licensed carrier — BYOC is supported on every plan too, and typically lowers your per-minute cost at scale.
Our sync runs out-of-band and writes idempotently. Most customers see no measurable impact on their CRM. We rate-limit ourselves below your org limits by default, and you can throttle further per object. LeadSquared, Zoho CRM, and Kylas are supported via the same connector framework.
Built-in. dialque enforces NDNC + global DNC checks before every outbound dial, supports per-campaign recording-consent prompts, registers DLT templates (Header + Content) for SMS via MSG91 / Gupshup / Karix, and ships with an immutable audit log. India data residency available in Mumbai or Bengaluru regions. SOC 2 and ISO 27001 are on our compliance roadmap.
Yes. Reps stay inside your CRM (a Chrome extension and embedded panels are available), and managers see the same dashboards they already use. We recommend a 30-minute onboarding session, not a six-week roll-out.
Median round-trip is under 60 ms across our India PoPs (Mumbai, Delhi NCR, Bengaluru, Chennai, Hyderabad). Calls automatically route to the closest healthy carrier, with sub-second failover. We peer at NIXI exchanges for shortest-path delivery.
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