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ROI impact · AI Phone Agent

What would an AI phone agent save you?

Move the sliders to match your contact center. The estimate updates as you go.

Your contact center

60
Headcount in full-time equivalents.
30
Not sure? 25 to 35 is typical for insurance service lines.
5 min
Talk time per call, in minutes.
$64,000
Fully loaded: salary, benefits, taxes, seat and tools.
20%
Share of today's calls the AI phone agent answers.
35%
Share of AI-answered calls that still end with an agent. 30 to 40% is a realistic start.
Net saving per year
$250k–$350k/yr

Agent time freed, minus the AI phone agent's running cost. Shown as a range because real call mixes vary.

Agents' worth of capacity freed
5.5
Hours of agent time freed per year
4,875
Calls per year
450,000
Answered by the AI phone agent
90,000
Resolved without an agent
58,500
Net saving per month
$20k–$30k/mo

Check these numbers on your own calls

Run a pilot on one use case. Every call is measured, so you see the real saving before you scale.

See the pilot Discover the AI Phone Agent →

How we calculate

  • Calls per year = agents × calls per agent per day × 250 working days.
  • Calls resolved by the AI = calls moved to the AI × (1 − share handed back to a live agent).
  • Capacity freed = agents × share moved to the AI × (1 − share handed back) × 70%. Not every freed minute turns into a saving, so we count 70% of it.
  • Agent cost saved = capacity freed × cost of an agent per year.
  • Net saving = agent cost saved − the AI phone agent's running cost. That cost covers every call the AI answers, including the ones it hands back.

The saving is shown as a range of about 15% either side of the estimate. An estimate to frame the conversation, not a quote. A pilot measures the real figures on your own calls.

See the full use case: evaluating and rolling out an AI phone agent →