What would AI automation actually save you?
Pick a scenario, plug in your real numbers, and see estimated monthly savings, hours reclaimed, and payback period. Conservative inputs, transparent math — no hype.
IndiaMART, Justdial, ad leads, website leads — auto-respond, qualify, push hot leads to sales.
We typically lift conversion 2–3x by responding in <60 seconds and qualifying on WhatsApp before a human ever picks up the phone.
See the IndiaMART/Justdial playbook →Want a written proposal with your numbers?
Drop your email and we will send a custom proposal for your exact inputs — fixed scope, fixed price, with payback expectations modelled conservatively. Replies typically within 24 hours, no automated drip.
Numbers are conservative estimates based on aggregate results across our 2025–2026 cohort. Real lift depends on lead quality, product fit, team capacity, and how aggressively you act on AI output. Treat this as a sanity check, not a binding forecast.
How we built these estimates
The math behind each scenario is opinionated and honest about its limits. We averaged across our 2025–2026 client cohort and used conservative assumptions (low end of observed ranges) so the calculator does not over-promise:
- Lead automation: 2.5x conversion lift on average, capped at 12% to avoid silly outputs. Time-saved estimate uses 85% automation of qualification at ~₹350/hr loaded sales rep cost.
- Customer support: 65% ticket deflection (real range we see is 60–75%). Cost saved is computed against agent capacity hours, not headcount — because the realistic outcome is re-allocating agents to upsell + retention, not firing anyone.
- Operations: 80% manual hour elimination on the workflows we automate, with 80% error reduction. Build cost assumes the Growth tier — bigger projects scale linearly.
None of these numbers are guarantees. They are honest estimates based on what we have shipped — and where each client landed varied with their lead quality, product fit, and how fast they actually acted on AI output.