Voice AI IVR
Where voice AI genuinely helps - and where it doesn't
Voice AI IVR makes sense when a business gets a real, recurring volume of phone calls asking a limited set of questions: hours, order status, appointment availability, basic troubleshooting. It makes far less sense as a blanket replacement for every phone interaction - complex complaints and high-stakes conversations still need a human, and pretending otherwise creates a worse experience than a simple menu. We scope every voice AI project around which calls should be automated and which should route to a person immediately.
What we build
- Speech-to-text call intake using official cloud APIs (Google Speech-to-Text or equivalent), not experimental open-source models with unpredictable accuracy on Pakistani-accented English or Urdu
- Intent matching against a defined set of your actual common requests - not open-ended conversation that can wander into promises you can't keep
- Clean handoff to a human agent with a transcript, for anything outside the automated scope
- Call logging into your CRM so you can see what's actually being asked, not just call volume
Realistic scope
This is not a general-purpose conversational AI that handles anything a caller says. It's a defined menu of intents (2-8 is typical for a first version) backed by real speech recognition, with a fast, honest fallback to a human for everything else. Starting narrow and expanding based on real call transcripts produces a better system than trying to handle every scenario on day one.
Pricing
Typically Rs 80,000-350,000 depending on number of intents, integration complexity (CRM, calendar, order system) and call volume. Ongoing hosting/API usage costs are separate and billed at actual provider rates, not marked up.
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