Estimate the annual savings from voice AI, agent assist and automated QA.
Enter your own volumes and cost assumptions. Results update as you type — no email required.
Your inputs
Start with your current baseline, then set realistic targets for containment and AHT reduction.
Voice + digital interactions handled by agents today
Talk + hold + after-call work
Wages, benefits, WFM, seat cost
Share of contacts fully handled by AI (voice bot, IVA, self-service)
From agent assist, auto-summary, knowledge grounding
Platform, integration, change management
Annual agent-cost savings at your target containment and AHT reduction.
Estimates are directional and based on industry benchmarks for voice AI, agent assist and automated QA. Assumes 1,560 productive agent hours per year.
Three-scenario view
Finance reviewers expect a range. These scenarios flex adoption and implementation cost around the model you entered.
Slower adoption, higher integration effort
Your inputs as entered
Strong sponsorship, clean data, phased scale-up
Want a quote built on these numbers?
Send us the brief and a delivery lead validates these assumptions against your data, then replies with indicative scope, timeline and commercial options.
CalculatorContact Center AI ROI Calculator — routed to this team
How do you calculate the ROI of contact center AI?
Contact center AI ROI is annual contact volume multiplied by the share of contacts the AI contains, valued at your fully loaded cost per contact, plus the handle-time reduction on the contacts that still reach an agent, minus the annual platform and delivery investment. The calculator returns annual savings, net benefit, payback period and a conservative-to-aggressive scenario range.
Ungated — results appear instantly, no email required.
What you enter
- Monthly contact volume
- Average handle time in minutes
- Fully loaded annual agent cost
- Expected containment rate (%)
- Expected AHT reduction on assisted contacts (%)
- Annual program investment
How it is calculated
- 1.Annualize contact volume (monthly contacts × 12).
- 2.Split volume into contained contacts and contacts that still reach an agent using the containment rate.
- 3.Derive a cost per agent-handled minute from the fully loaded agent cost and productive minutes per year.
- 4.Value contained contacts at the full handle cost, and value the AHT reduction only on the remaining agent-handled contacts.
- 5.Subtract the annual investment to get net benefit, then divide investment by monthly benefit for payback.
- 6.Re-run the same model at conservative, base and aggressive impact/cost multipliers for a scenario range.
What you get back
- Annual gross savings
- Net annual benefit after investment
- Payback period in months
- Conservative / base / aggressive scenario table
- Board-ready PDF and a shareable link that preserves every input
Built for: CX, contact center and BPO operations leaders building a funded business case.
What containment rate should I assume for a contact center AI business case?
Assume the rate you can evidence for your own top intents, not a vendor average. The calculator defaults to a mid-range assumption and gives you a conservative scenario alongside it precisely so the business case survives scrutiny when the pilot lands lower than the demo.
Does contact center AI ROI include agent headcount reduction?
This model values contained volume at your fully loaded cost per contact, which is capacity released rather than headcount removed. Most enterprises redeploy that capacity into deferred hiring, reduced overtime or lower outsourcing spend instead of reductions.