What would the AI system actually recover for your business?

Recovered missed calls. Missed calls per month = (calls/week × 4.33 weeks × miss%). Industry data shows AI receptionists capture ~85% of those (people hang up on voicemail, AI keeps them engaged). Of captured leads, ~50% would have called you anyway eventually — so we credit 50% as truly recovered (the half that would have called a competitor instead). Then those leads convert to revenue at your stated close rate × average ticket.

Revived quotes. Per industry research, a structured 3 / 7 / 14 / 30-day follow-up sequence converts an additional ~15% of cold quotes into signed jobs. Calculated as: (monthly quotes × 15% incremental conversion × average ticket).

Review-driven revenue lift. A move from 5 reviews to 40+ reviews on Google/Facebook (12-month trajectory with consistent review automation) drives an estimated 7–10% lift in inbound lead volume from local search. We use 8% as the midpoint, applied conservatively to baseline monthly revenue. Smoothed into the monthly figure.

What we did NOT count. No "soft" benefits (time savings, lower stress, faster response = better customer experience). No first-90-day ramp discount. No upside from photo pipeline driving more inbound from social. No subcontractor productivity. These are all real but unmeasurable here — they make the number conservative.

Honest caveats. Every business is different. These are model estimates, not guarantees. Your actual results depend on lead quality, your sales execution, market conditions, and a dozen other variables outside any system's control. The math is conservative on purpose — if it shows positive ROI at your numbers, the real-world ROI is very likely positive too.