The “generic sales agent” prompt is the worst pattern in AI calling.
One prompt cannot cover a hot RE enquiry, a warm patient follow-up, and a cold loan pre-screen.
Blog · page 3
44 essays on AI voice calling — industry use cases, why competitors fail, how-to playbooks, engineering deep dives, and the future of telesales in India.
One prompt cannot cover a hot RE enquiry, a warm patient follow-up, and a cold loan pre-screen.
Indian buyers will write a ₹50,000 cheque happily. The same ₹50,000 split as monthly recurring? Resistance.
AI vendors love to compress “your sales process” into a single prompt. Real sales has five distinct shapes.
The Indian soft-no is a cultural minefield. AI tools trained on Western data walk straight into it.
A practical day-by-day playbook for going from contract to live calls.
Most teams overthink this. The knowledge base your AI needs is shorter than your training manual.
A 60-second decision tree for choosing among Hard Closer, Storyteller, Educator, and Consultant.
Sit in on the first 100 calls. Whisper-coach when you see something off. The agent gets better fast.
“Mehnga hai”. “Sochenge”. “Family se baat karke bataenge”. The right response to each, codified.
The technical scale-up is easy. The operational scale-up is what trips most teams up.
Outbound HMAC-signed webhooks plus a Bearer-token API. The integration is simpler than your team thinks.
“Live in 24 hours” is real, but “well-trained in 24 hours” takes intention. Here’s the focused playbook.
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