Voice AI cost per resolution: how to calculate it

Quick answer: Voice AI cost per resolution equals the full cost of the automated service divided by verified completed tasks. Include platform, telephony, implementation, integration, support, quality review and human handling after transfer, then compare the same task against current agent costs.

Voice AI cost per resolution equals the full cost of the automated service divided by verified completed tasks. The numerator should include platform, telephony, implementation, integration, support, quality review and human handling after transfer.

What inputs are required to calculate cost per resolution?

Start with real numbers from your contact centre: monthly volume for the chosen intent, current agent cost per handled minute or per call, voice AI platform and telephony costs, implementation and integration effort, and ongoing quality review and handoff cost.

What does a modelled example look like?

This is a modelled example for illustration. Your actual costs will differ.

Suppose a team handles 50,000 calls per month for a single intent. The current agent cost is £3.50 per call, giving a monthly baseline of £175,000. A voice AI system handles 80% of these calls to completion, with the remaining 20% transferred to agents.

Why add a downside case?

Run the same model with lower automation rates and higher transfer costs. A downside case helps set expectations with finance and avoids overcommitting before live traffic data is available.

Why compare the same work?

A valid comparison measures the same task, not the whole contact centre. If you automate balance enquiries, compare the cost of handling balance enquiries today against the cost of handling them with AI. Use our pilot playbook to build an outcome scorecard that captures this comparison honestly.

Bring your current call costs to a 30-minute Butter Labs ROI review.

Reviewed 2026-07-27