How is Opshiva different from a chatbot builder?

Chatbot builders give you decision trees you have to script by hand. Opshiva is an autonomous agent: it understands the conversation, pulls from your knowledge base and connected tools, files structured tickets, routes them, and resolves end-to-end — across voice and text — without flow charts.

Which languages do you support?

11 Indian languages with natural code-mixing (for example Hindi–English), across both voice and text channels. The same agent and the same memory carry across every language a caller switches between.

How does it handle complex multi-step conversations?

One shared context window holds the full history, so the agent can manage multi-issue calls, gather missing details, branch between tasks, and even split a single conversation into multiple structured tickets when several distinct issues come up.

Can it work alongside our existing call-centre staff?

Yes. Opshiva handles the front line and hands over to a human the moment confidence drops, a customer asks, or an SLA is at risk — with the full transcript and context attached. Your team focuses on the exceptions, not the queue.

Where is data stored? Is it compliant?

Opshiva is MeitY-compliant and supports RBI, HIPAA, and DPDP requirements. Enterprise deployments can run on-premise or in a sovereign cloud, with tamper-proof, audit-grade logs for every interaction.

How long does deployment typically take?

A pilot goes live in about 2 weeks. A full vertical rollout takes 4–6 weeks, and state-scale deployments land in 8–12 weeks, followed by continuous tuning.

What happens when the AI fails or doesn't understand?

The agent escalates gracefully — handing the conversation to a human with full context, or stepping up from L1 to L2 to L3 on an SLA breach. Nothing is dropped; every handover is logged with a complete chain of custody.

Contact Centres27 August 2026·6 min read

Replace Your IVR with an AI Voice Agent: 11-Language Support, 24×7, No Menu Trees

"Press 1 for…" is quietly costing you customers. Here's what an agentic voice AI does differently — and how to migrate off a legacy IVR without ripping out your telephony.

Nobody has ever enjoyed an IVR. The menu tree that made sense on a whiteboard becomes a maze on the phone — and callers vote with their thumbs, hanging up or mashing 0 to reach a human who is already buried under the queue.

85%

of consumers have abandoned at least one call after hitting an IVR; 61% say IVR harms the experience (Vonage).

The difference isn't a better menu — it's no menu

A conversational voice agent doesn't route calls, it handles them. The caller simply says what they want — in Hindi, English, or a natural code-mix of both — and the agent understands intent, pulls the answer from your knowledge base and connected systems, and resolves the request. It handles interruptions, follows up for missing details, and only involves a human when it should.

Built for how India actually speaks

Most callers outside the metros are more comfortable in their own language, and they switch mid-sentence. An agent that supports 11 Indian languages with natural Hindi–English code-mixing — carrying one shared memory across every language a caller switches between — isn't a nice-to-have here, it's the difference between containment and abandonment.

You don't have to rip anything out

Migrating off an IVR is usually additive, not a forklift. The AI agent sits in front of (or alongside) your existing telephony and CRM: it takes the front line, deflects and resolves what it can, and escalates the rest to your team with full context attached. You keep your numbers and your systems; you just stop making people navigate menus.

Point a number or a share of traffic at the agent and measure containment
Ground it on your FAQs, policies and product data so answers are accurate
Set clear handover rules — confidence drops, customer asks, or SLA at risk
Log and record every call for quality and DPDP-compliant audit

Why now

This is no longer experimental. Gartner predicts that by 2029, agentic AI will autonomously resolve 80% of common customer-service issues without human intervention, cutting operational costs by around 30%. The teams moving now are the ones who will have tuned, trusted agents by the time that becomes table stakes.

See it live: talk to Opshiva's own AI agent at opshiva.com/talk — ask it anything, in English or Hindi, and it will answer and even book you a demo.

Talk to Opshiva

Sources

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