AI Agent ROI Calculator

Estimate the return on investment of an AI agent before launching your project.

Short answer: an AI agent often becomes cost-effective as soon as a team spends several hours per week on repetitive, structured, low-differentiation tasks. This calculator estimates in under 2 minutes the time recovered, annual savings, potential ROI and payback period based on your context.

Conservative assumption

70%

time saving on genuinely automatable tasks

Annual projection

48 wks.

to stay realistic about holiday periods and exceptions

Instant output

ROI + payback

with a personalised recommendation and a shareable link

Calculation method

Simple, clear, shareable

You describe your context

sector, size, revenue, friction points and genuinely repetitive time

We apply a conservative assumption

70% gain over 48 weeks, then an investment estimate based on complexity

You leave with an actionable summary

hours saved, savings, ROI, payback period and a shareable URL

Steps

Build your estimate

Give a realistic order of magnitude, not accounting perfection. The goal is to quickly identify whether an AI agent can pay for itself in your organisation.

Why this step matters

Your context shapes the complexity

Two companies with the same volume of repetitive hours do not necessarily face the same deployment cost. Sector, size and expected integration depth significantly affect scoping effort, security requirements and go-live complexity.

The more flows span multiple teams, the higher the investment.

Regulated sectors require more validation and safeguards.

A well-chosen, simple scope is often the best starting point.

Start with your context. Three data points are enough to calibrate the order of magnitude.

FAQ — AI Agent ROI Calculator

Useful questions to correctly interpret an estimate before launching a real scoping session.

We first estimate automatable time from the repetitive hours you declare. We then apply a conservative efficiency rate of 70%, and 48 working weeks per year to obtain an annual gain. ROI is calculated as follows: annual savings minus investment, divided by investment, multiplied by 100.
This assumption is deliberately conservative. A well-scoped AI agent does not eliminate 100% of the work — human validation, exception handling and oversight of sensitive flows must be preserved. 70% provides a useful estimate without overpromising results.
This range covers scoping, design, integration with your existing tools, testing, safeguards, go-live and initial monitoring. The more a process spans multiple teams, systems or requires fine-grained validation, the higher the investment.
No. The goal is to remove repetitive workload and give teams back time for client relationships, decision-making, oversight, sales and management. The right use case is not replacing people — it is expanding their execution capacity.
Generally the best starting points are manual data entry, email triage, recurring customer support, repetitive reporting, invoice processing and certain HR workflows. These are high-volume, clearly structured areas with quickly visible gains.
It is an excellent starting point for prioritisation. However, a real scoping session must then validate actual volumes, tools involved, risk levels, human validation checkpoints and KPIs to track in production.