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What is repetitive work costing you in time and value? Enter your own numbers and see the estimate — then test whether automation actually delivers it, in one pilot, before anything scales. Nothing is pre-filled, and no result here is a promise — it is arithmetic on your inputs only.

Your numbers

Leave a field blank if you do not know it — blank counts as zero. The automatable share is your own judgement: move the slider to the share of this work you believe could be automated.

How many times this repetitive task happens in a typical week.

How long one occurrence of the task takes today, in hours.

The tasks figure above is per person; this multiplies it across the team. If one person does it, enter 1.

In your own currency, including salary, benefits, and overhead as you define them. ProTech does not set this figure for you.

Your own estimate of what share of this work could be automated. Start at 0% and move it only as far as you believe is realistic.

Your estimate

All figures below are estimates from your inputs — not guaranteed savings.

They do not include implementation effort, running costs, or time spent checking automated work, and they are not a ProTech performance claim.

A pilot tests this figure against an agreed baseline — it does not assume it.

Hours freed per month

0

Estimate from your inputs — not a guaranteed saving.

Cost value per month

0

In your currency. Estimate from your inputs — not a guaranteed saving.

Cost value per year

0

In your currency. Estimate from your inputs — not a guaranteed saving.

How this is calculated

Hours freed per month = repetitive tasks per week × hours per task × team members × automatable share × 4.33 weeks per month (52 weeks ÷ 12 months).

Cost value per month = hours freed per month × average fully-loaded hourly cost, as entered by you.

Cost value per year = cost value per month × 12.

That is the whole calculation. No industry benchmark, ProTech result, or typical figure is added to your numbers, and nothing here accounts for the cost of building, running, or overseeing an automated workflow — those are discussed on the call, before any commitment.

An estimate like this is checked by agreeing a baseline first and testing one workflow in a pilot — see How We Work.

What the pilot verifies

An estimate is not evidence. Before anything scales, one workflow is tested in a pilot — and the pilot verifies three things:

  1. Baseline first. The current time, volume, error, and response measures are measured before automation is switched on, so there is something honest to compare against.
  2. Measures agreed in advance. What counts as success is written down before the pilot starts, and the pilot is judged against those agreed measures — not against impressions afterwards.
  3. Go or no-go. At the review, the pilot either earns a rollout recommendation with its conditions, or it does not roll out. If it does not meet its agreed baseline, you keep the findings, the workflow map, and the evaluation — and choose whether to adjust, narrow, pause, or stop.

See How We Work for the full pilot process, including the blank baseline sheet and go/no-go templates.

Discuss what these numbers would mean in practice

An estimate is a starting point for a conversation, not a decision. On an AI Opportunity Discovery Call we work through which workflow, if any, is worth automating first — and which ones should wait.

Book an AI Opportunity Discovery Call See illustrative demos