Free tools/AI Business Case Generator

Build an AI business case in five minutes.

Labour value + revenue upside − build cost → payback · estimate-first, no double-counting

Add the workflows or bottlenecks you'd hand to AI, and we turn them into a costed business case — annual labour value, any revenue upside, total investment, and a simple payback in months. Built to be honest: every figure is an estimate, and labour saved and revenue upside are kept separate so you never double-count.

Workflows & bottlenecks (3/5)

Role / workflowHours / taskTimes / monthRevenue upside / yr (optional)Labour value / yr (est.)
€75,000
€72,000
+ revenue — may overlap
€108,000

Labour value = hours per task × times per month × 12 × your blended hourly rate. Every figure here is an estimate. Revenue upside is shown separately and is not a saved-hours figure — don't treat one as the other.

Assumptions

Fully-loaded cost of the people doing this work.

One-time cost to build the workflows to production.

Labour value / yr (est.)
€255,000
Revenue upside / yr (est.)
€40,000
Total annual value (est.)
€295,000
Payback (est.)
1.0 mo

One or more workflows claim both hours saved and a revenue upside. These can overlap — freeing an hour and earning new revenue from that same hour is counted twice if you bank both. Keep only the one you can actually defend.

Total annual value and payback are estimates built from your inputs, not a quote. A real business case prices the build against your actual data, edge cases, and adoption reality — that's the next step below.

Your draft business case
~€295,000/year of estimated value · ~1.0-month payback on a €25,000 build
  • Labour value: €255,000/yr across 3 workflows (estimate).
  • Revenue upside: €40,000/yr — shown separately, may overlap with labour.
  • These are estimates. The full diagnostic prices the build and validates the value against your data.
Get this as a branded one-pager

A clean PDF you can save or send to your team. We'll email you occasional, useful AI notes — no spam.

How to use it.

1. Add 1–5 workflows you'd automate

List the specific, repetitive workflows or bottlenecks — invoice coding, lead research, ticket triage. For each, name the role doing it today. Keep it to the handful that actually matter; a business case for everything is a business case for nothing.

2. Enter hours, frequency, and any revenue upside

For each workflow: how long one run takes today, how many times it runs per month, and — only if it genuinely applies — the annual revenue it could unlock. We value the time at an editable blended hourly rate (default €50). Use honest current-state numbers, not best-case ones.

3. Set your build investment

Enter an estimate of what it costs to build these workflows to production. The tool sums annual labour value plus revenue upside into a total annual value, then divides the build cost by the monthly value to show a simple payback in months.

4. Read it as an estimate, then pressure-test it

Every figure is labelled an estimate — it's a hypothesis, not a quote. If a workflow claims both saved hours and new revenue, we flag the overlap so you don't bank both. The full costed deck (built by the AI Chief) prices the real build and validates the value against your data.

Frequently asked questions.

What is an AI business case?
An AI business case is a short, costed argument for building a specific AI workflow: the value it creates (hours saved and/or revenue unlocked), what it costs to build and run, and how long until it pays back. A good one is honest about uncertainty — it labels figures as estimates and avoids double-counting time savings and revenue.
Is there an AI business case template I can use?
Yes — this tool is one. It structures the case around the inputs that actually drive payback: per-workflow hours and frequency, a blended hourly rate, optional revenue upside, and a build investment. You can email yourself the result as a branded one-pager to use as the template for your own internal write-up.
How do I justify AI spend to leadership?
Tie the spend to named workflows with real volumes, value the time at a fully-loaded rate, keep revenue upside separate from labour savings so the number is defensible, and present a payback period rather than a vague 'efficiency' claim. A sub-12-month payback on a clearly-scoped build is usually enough to greenlight a pilot.
Why does the tool keep labour savings and revenue upside separate?
Because adding them together is the most common way AI business cases overstate value. Freeing an hour and earning new revenue from that same hour is often the same benefit counted twice. We show each separately and warn when a workflow claims both, so you keep only the value you can actually defend.
How accurate is the payback estimate?
It's directional. The calculator gives an order-of-magnitude read on whether the workflows are worth building, using your own numbers. The build cost is an estimate until scope is pinned down — a diagnostic narrows it against your real data, edge cases, and adoption reality.

More free AI tools.

Numbers looking promising?

A free tool gives you a hypothesis. The 30-minute diagnostic is where we pressure-test it against your actual workflows — and decide whether the project is worth building, buying, or skipping.