A traditional IVR bot follows a fixed menu tree – press 1 for billing, press 2 for support. A conversational AI bot understands natural speech and handles multi-turn dialogue, so callers can say "I want to change my plan" and the bot responds intelligently without pressing anything. Most modern AI voice bots are conversational, though a simple IVR replacement is far cheaper if your flows are straightforward.

It varies significantly by provider. Top platforms achieve 90–95% intent recognition accuracy on clean Hindi. Code-switching (where callers mix Hindi and English) is harder, and accuracy can drop to 75–85% without specific training. Regional dialects like Bhojpuri or Marathi require additional tuning. We test every provider on a standard Indian speech benchmark before listing them.

Most enterprise-grade platforms support REST API integration with popular Indian CRMs (Zoho, Salesforce, LeadSquared) and telephony providers (Exotel, Ozonetel, Knowlarity). Integration depth varies – some platforms offer pre-built connectors; others require custom API work. We check integration readiness as part of our vetting process.

Generally, if you handle more than 2,000 inbound calls per month on a repeatable query type such as billing, order status, or appointment booking, a bot pays for itself. Below that, a well-configured IVR with human agents is often more cost-effective. We can model the break-even for your volumes during a free scoping call.

A well-configured bot detects when it's out of scope or confidence drops below a threshold, and triggers a warm handoff to a human agent – transferring the call along with a full transcript, detected intent, and CRM record. Poor implementations do a blind transfer with no context, which is one of the most common complaints we hear. We test the escalation flow as part of every platform vetting.