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Payback-O-Matic

Is AI actually working for you?

This calculator helps estimate AI productivity gains in messy, real work environments.

Everyday AI tools

e.g. Copilot, Gemini, ChatGPT, Claude

Role

£

Everyday AI use: your company

£
5.5h/wk

The average worker with comprehensive AI training saves 11h a week, vs only 5.5h for workers with little/no training (London School of Economics, 2025).

Training upside: +£152k a year if your staff reached 11h a week.

41%

41% of workers use AI at least weekly (Deloitte, 2026).

37%
2026 study benchmark: 37% of the time AI saves goes on correcting, checking and rewriting its output (Workday, Beyond Productivity, 3,200 respondents).
Specialist AI toolsOptional

e.g. Legora (legal), Watershed (sustainability), Causaly (life sciences)

Role

£

These staff keep their everyday AI seats, so this tool must save time on top of them.

£
Required return

Time saved doesn't always become money saved (Gartner), so a higher target builds in a margin.

41%
25.9%
Note: specialist AI tools tend to make mistakes about 60–80% less than everyday ones (Google DeepMind, via Conferbot).

Summary

  • Your team is likely saving £140k a year, after seat costs.
  • The benchmark with proper training is £291k a year.
  • Specialist Tool X needs to add £5.4k a year to break even.

Value of hours freed up (pay ÷ 37.5h week × hours saved), minus seats. Estimates from your inputs, not measured data.

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