Your baseline, the impact figures, the arithmetic in full
The impact figures applied to your own baseline, and the total saving.
Put your own numbers in
Your baseline
Everything is worked out in this page, and your numbers stay on your screen.
Calls, chats, emails and tickets.
One inquiry, end to end.
Service agents, advisers or engineers.
The share that leaves the first line.
First day to answering unaided.
Your own rates
Pay, tax and overhead.
What one costs you to run.
Inquiries your AI agents close.
What the figures mean for your numbers
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Time back
Reduction in inquiry handling time, at 28%
hours a month back, and for each employee answering.
How this line is calculated
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min times 28% equals min
off each inquiry, from the average handling time you entered
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min times contacts equals min a month
across the contacts a month you entered
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min divided by 60 equals hours a month
the same figure in hours
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hours divided by people equals hours each a month
per employee answering, from the headcount you entered
Your average handling time, times 28%, times your contacts a month, divided by 60, divided by the people answering.
What comes out: hours a month, and hours per employee.
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Fewer escalations
Reduction in expert escalations, at 65%
fewer a month: escalations become .
How this line is calculated
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contacts times equals escalations a month
your own contacts and your own escalation rate, before any figure is applied
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times 65% equals fewer a month
the reduction, applied to that count
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minus equals escalations a month
what would still reach a specialist
Your contacts a month, times your own escalation rate, times 65%.
What comes out: fewer escalations a month.
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Faster onboarding
Reduction in new employee onboarding, at 70%
weeks off, so a new starter answers unaided in weeks.
How this line is calculated
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weeks times 70% equals weeks
off the onboarding time you entered
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weeks minus weeks equals weeks
to the same point a new starter reaches today
Your onboarding weeks, times 70%.
What comes out: weeks off a new starter.
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Saved a month
Add what an hour costs you, or what one AI resolution costs.
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The time your people get back
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hours a month times equals a month
the hours the time line came to, at the cost of an hour you entered
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What your AI agents stop costing
Reduction in AI costs, at 74%
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resolutions times equals a month
your own resolutions and your own cost for one, before any figure is applied
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times 74% equals a month
the reduction, applied to that cost
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minus equals a month
what running them would still cost
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How the total is calculated
The time your people get back
Hours a month from the time line, times your cost of an hour.
What comes out: what that time is worth a month.
What your AI agents stop costing
Your AI resolutions a month, times what one of them costs you, times 74%.
What comes out: the reduction a month.
The total
The time your people get back, plus what your AI agents stop costing. With one rate entered, the total is that one line.
What comes out: saved a month, in US dollars.
Customer satisfaction is priceless.
Increase in customer satisfaction, at 15%. Everything above changes on your side of the desk. This changes on your customer’s.
Tangible impact
When organizational knowledge breaks, performance breaks with it. When it improves, these are the numbers that move.
Business impact
- Increase in customer satisfaction 15%
- Increase in first contact resolution (FCR) 40%
- Increase in self-service adoption 30%
- Increase in employee satisfaction 62%
- Reduction in inquiry handling time 28%
- Reduction in expert escalations 65%
- Reduction in new employee onboarding 70%
- Reduction in compliance violations 14%
Technological impact
- Reduction in AI costs 74%
- AI agent accuracy from 85% to 97%
- Increase in AI agent speed 25%
Which figures the estimator applies
The reduction in inquiry handling time, the reduction in expert escalations, the reduction in new employee onboarding and the reduction in AI costs, each on a number you give it: contacts, escalations, new starters, and what your AI agents cost to run.
The rest stay on the board as published. A rise in a rate would pass a hundred once multiplied, compliance violations would need a count of them, and AI agent speed and accuracy describe the agent at work rather than a baseline.
What stands behind the figures
The estimator’s results are an estimate, worked out from the numbers you enter. Actual results vary with each organization, its content and how widely the Brain is adopted. An estimate is not a quote or a commitment.
See how a Brain moves these figures
A demo shows a Brain answering in one business area, with the reasoning and the approved knowledge behind every answer.