AI Return on Investment (ROI)

ROI for a voice or chat agent is a comparison of two numbers: what the agent costs to run, and what it changes in revenue or cost. The useful version is narrow. It names one workflow (after-hours calls, website lead capture, order-status tickets), assigns a value to each outcome, and compares that against the subscription plus the time the team spends reviewing transcripts.

How it works. Start with a baseline from the month before go-live: calls missed, average first-response time, tickets per week, leads per week, booked meetings. After go-live, read the same numbers from the agent's analytics and the CRM. Value the differences with figures you already use: average job value, close rate on a booked meeting, cost of a handled ticket, hourly cost of the staff who took the calls. On the cost side, count the plan price (Starter $29 to Business $199 for chat, Voice AI $249 with 1,500 minutes), any overage, setup time, and weekly review time. ROI is the value gained minus cost, reported per month and as a payback period.

Why it matters for operations and finance leads. Vendor case studies come from someone else's funnel; your finance team wants your numbers. Scoping ROI to one workflow also protects the project: a small, measurable win on missed calls is easier to defend than a vague promise across the whole support desk, and it tells you which workflow to automate next.

Example. A two-location dental practice routes after-hours and overflow calls to a voice agent. The baseline from call logs is 140 missed calls a month, of which the front desk estimates a third were new-patient inquiries. After go-live the agent answers those calls and books 31 new-patient appointments in the first month. The practice values each new patient at its own first-visit revenue figure, subtracts the $249 Voice AI subscription and about two hours of weekly transcript review, and reports payback inside the first month. It then tracks show rate so bookings are not counted twice.

AI ROI vs chatbot deflection. Deflection is one input to ROI: the share of contacts resolved without a person. It measures volume removed, not value. ROI adds the revenue side (bookings, recovered carts, answered leads) and the cost side (subscription, review time), and converts both to money. A high deflection rate with poor answers can still produce negative ROI through refunds and churn.

What to measure.

Botcadence chat agents and voice agents report conversation analytics per channel, so the before-and-after numbers come from one place; see conversation analytics.