Autonomous
Handles the full call end-to-end. Places outbound, answers inbound. No human agent needed for the routine 60–80%.
An AI calling bot that places outbound calls and answers inbound. Real conversations, not menu trees. Hindi + regional languages production-ready. Warm handoff to a human agent when the call needs one. Deploy in two weeks.
A rigid IVR asks the caller to press 1 or 2. An AI calling bot listens, adapts to what the caller says, updates your CRM in real time, and knows when to escalate to a human. That is the difference between an automated attendant and a real voice AI agent.
Handles the full call end-to-end. Places outbound, answers inbound. No human agent needed for the routine 60–80%.
Hindi, English, Tamil, Telugu, Marathi, Bengali, Kannada — production-ready. Hinglish + code-mixing handled natively.
When the caller needs a person, the AI transfers with a real-time context summary. The agent picks up with full context.
DLT template registration, 3% abandon-call cap, NDNC scrub, DPDP India data-residency — baked in.
AI calling bots don't replace your best agents. They free them from the routine, high-volume touchpoints where a script is 90% of the work — so your human floor spends its time on the 20% of calls where judgment moves the outcome number.
60-second call to confirm interest, budget, timeline. Books the demo automatically. 3× cheaper than an SDR.
3× cost reduction · book rate ≥ human
Nudge, confirm, offer pay-now via UPI deep-link. Handles negotiation branches. Escalates the 10–20% that need judgment.
4× cost reduction · 90%+ automation
Confirms identity, captures re-KYC info, updates your core system. Human handoff on document exceptions.
80% automation · 24×7 coverage
Confirms, reschedules, or cancels. Auto-updates your calendar. Reduces no-show rate 40–60%.
92% automation · no-show ↓ 40%
2-minute post-service voice survey. Higher response rate than SMS or email. Sentiment auto-tagged in your CRM.
5× cost reduction · 3× response rate
Confirms arrival window, redirects if recipient unavailable, updates your logistics stack in real time.
85% automation · ops ticket ↓ 60%
The comparison that matters is not cost-per-attempt (the vendor's favourite). It is cost per meaningful conversation — every successful right-party-contact where the AI actually delivered a business outcome. That is where the math changes.
4× cheaper per meaningful conversation
Numbers from real Indian deployments (BFSI collections, SaaS lead-qual, delivery coordination) at 100K+ monthly volume. See the full breakdown in the cost-and-conversion deep-dive.
Everything else you'd normally ask on the first sales call. Anything not here — book a demo and we'll cover it.
An AI calling bot is a voice AI system that places and receives phone calls end-to-end without a human agent. Unlike an IVR menu tree, it holds an open, multi-turn conversation — the caller speaks naturally, the bot understands, updates your CRM, and knows when to hand off to a human. Same underlying technology as an AI calling agent, AI voice agent, or virtual agent — different marketing terms for the same capability.
Yes. The terms are used interchangeably. 'AI calling agent' is the term that's now standard in enterprise product marketing; 'AI calling bot' is the more colloquial term. Some vendors also use 'virtual agent' or 'voice AI agent'. Same capability: autonomous voice conversations.
Yes — production-ready in English, Hindi, Tamil, Telugu, Marathi, Bengali, and Kannada. Hinglish and code-mixing (switching between English and Hindi mid-sentence) are handled natively.
An IVR is a rigid menu tree — the caller presses digits to navigate. An AI calling bot has a real conversation — the caller speaks naturally, and the bot listens, adapts, asks clarifying questions, and can branch into unpredictable territory (a debtor saying 'I lost my job' triggers a different flow than 'I'll pay next week'). Engagement and outcome numbers are 3–5× higher than IVR.
The AI immediately warm-transfers to a human agent with a real-time context summary — account details, what the AI already discussed, sentiment, and the reason for handoff. The human agent picks up with full context; the caller never has to repeat themselves.
2–4 weeks for a first production use case. Typical timeline: Week 1 for script design + DLT template registration; Week 2 for sandbox pilot on 1,000 records; Week 3 for staged ramp to full volume; Week 4 for calibration and go-live.
Yes — full TRAI TCCCPR 2018 compliance is baked in: DLT voice-template registration for every scripted line, 3% abandon-call cap, NDNC/DND scrubbing at every dial pass, and DPDP Act 2023 India data-residency for all recordings and transcripts. Explicit identification of the automated system at call start is the compliance-safe default.
Spin up a free workspace, import a list, and place 50 calls today. No credit card, no sales call required.