AI Solutions
Calls answered on the first ring,at 2am.
Voice agents that qualify, book and escalate — in Hindi, English and regional languages.
Sound familiar?
- “Half your inbound calls go unanswered during peak hours.”
- “Your telecalling team spends most of its day on unqualified leads.”
- “Appointment reminders don't happen because nobody has time to call.”
Capabilities
What it does.
Natural conversation
Handles interruptions, corrections and accents rather than a rigid IVR tree.
Indian languages
Hindi, English and major regional languages, including code-mixed speech.
Books and updates
Writes appointments and lead status directly into your CRM during the call.
Escalates cleanly
Transfers to a human with the conversation context already summarised.
Inbound and outbound
Answers calls, and makes reminder, follow-up and qualification calls.
Recorded and reviewable
Transcripts and recordings for quality and compliance.
How we deploy it
The path from pilot to production.
Most AI projects die between a good demo and a working deployment. This is the sequence that avoids that.
Call analysis
We listen to your actual calls before scripting anything.
Narrow scope first
One call type — appointment booking or qualification — done well beats a general agent done badly.
Escalation rules
Explicit triggers for handing to a human, including frustration detection.
Pilot on a slice
A percentage of traffic, monitored, with every escalation reviewed.
Expand
More call types once containment and CSAT hold.
Data & privacy
Where your data goes, plainly.
This is the first thing enterprise procurement asks about AI, and most vendor pages avoid answering it.
- Recordings and transcripts stored in Indian regions with configurable retention.
- Call disclosure that the caller is speaking to an automated system, as required.
- Speech data excluded from model training under enterprise agreements.
- DNC and consent rules enforced before any outbound call is placed.
What it costs to run
Voice is the most expensive AI modality — expect ₹4–12 per minute including speech-to-text, model and text-to-speech. It pays where the alternative is a missed call or a telecaller's salary, not where a text message would do.
Technology
What we build it with.
- OpenAI Realtime
- Deepgram
- ElevenLabs
- Twilio
- Exotel
- Python
- Node.js
We're not tied to a model vendor. Systems are built so a provider can be swapped as capability improves or prices move.
Yes, and we disclose it at the start of the call — both because regulation increasingly requires it and because attempting to deceive callers damages trust when they work it out, which they do.
Well, with the right speech model. We test against recordings from your actual customer base during the pilot rather than assuming — accent handling varies more between providers than their marketing suggests.
It transfers to a human with a summary of what's been discussed, so the caller doesn't repeat themselves. Frustration detection triggers escalation too.
Yes — reminders, follow-ups and qualification. DNC registry checks and consent verification run before dialling, which is a legal requirement, not a courtesy.
Start here
Tell us the process, not the technology.
The best AI projects start from an expensive manual task, not from a decision to use AI. Describe the task and we'll tell you honestly whether this is the right tool.