Pilot bracket
Council on Aging chatbot pilot
Senior services site for Martin County, Florida. Pilot integrated against existing FAQ and program eligibility content. Validated the deflection model before scaling.
For teams evaluating AI chatbots
Estimate the annual savings, payback period, and 3-year net from a knowledge-base-grounded AI assistant. Numbers come from real OST deployments, calibrated conservatively so the bracket is defensible to your CFO.
How we calibrated the numbers
Deflection rates and run costs come from OST chatbot engagements across three customer segments. Each example sits at a different scope so you can sanity-check where your project lands.
Pilot bracket
Senior services site for Martin County, Florida. Pilot integrated against existing FAQ and program eligibility content. Validated the deflection model before scaling.
Production bracket
Specialty e-commerce client. Multi-channel deployment grounded in product catalog, shipping policies, and warranty terms. Custom escalation flows to human reps.
Enterprise bracket
Platform serving 350+ active store deployments. Per-tenant knowledge bases, brand-aware tone, full audit trail, multi-language. Same engineering pattern reused across tenants.
Methodology
Annual savings = monthly volume × 12 × deflection rate × cost per ticket. Deflection rate combines two multipliers, not one.
Payback period = implementation cost / (monthly savings minus monthly run cost). 3-year net = (annual savings × 3) + (sales lift × 3) − implementation cost − (monthly run cost × 36).
What this calculator does not capture: brand voice training time, change management costs (training your support team), ongoing prompt and KB maintenance (5–10 hours per month), and the upside from reduced first-response time on tickets that do escalate.
The calculator gives you a defensible business case for the budget conversation. A 60-minute scoping call gives you a fixed scope, a milestone plan, and a quote your team can act on.