Labs Resources
Free resource
AI Value Estimator
Toggle the value drivers that apply to your team, adjust the numbers, and see a live, conservative estimate of the annual value AI automation and custom development could create — no pricing, just the value side.
Takes about 2 minutes — every number is yours to adjust.
Estimated annual value created
$99,320
across 5 of 5 value drivers · roughly 1.0 full-time-equivalent of capacity
Load an example
1 · Choose your value drivers
Toggle the ones that apply. Each selected driver opens its inputs below.
2 · Your estimate
Adjust any number — the total updates instantly.
Saves staff time
People × hours saved per week × 47 working weeks × hourly cost
Why these numbers?
We use 47 working weeks — a full year minus leave and public holidays — so the figure stays conservative rather than flattering.
Avoids a new hire
Fraction of a role × the role's fully-loaded annual cost
Why these numbers?
Use the all-in cost — salary, on-costs, software and management overhead — not just base salary.
Increases capacity / revenue
Extra sales or jobs per month × 12 × margin on each
Why these numbers?
Count only the margin you actually keep, not gross revenue — that keeps the estimate honest.
Reduces errors & rework
Errors per year × cost per error × share prevented
Why these numbers?
Include rework time, refunds and goodwill — the true cost of an error is usually more than the first invoice suggests.
Replaces existing tools
Monthly tool cost × 12
Why these numbers?
Only count tools you would genuinely cancel — not ones you'd keep paying for anyway.
Where the value comes from
What this means
Your biggest lever is avoids a new hire, at 35% of the estimated value. In headcount terms, $99,320 a year is roughly 1.0 full-time-equivalent of capacity returned to the business.
Traditional route
Hire for the capacity, absorb the errors, and keep paying for several overlapping tools — cost that recurs every year.
AI route
A focused build does the repetitive work once, scales without new headcount, and consolidates the stack — value that compounds as adoption grows.
These are conservative estimates. Real results are often higher with good implementation and adoption — and there is no pricing here, just the value side. The next step is a short, candid conversation about what a build would actually take.
Related: AI Tool Comparison Matrix · AI Implementation Roadmap
How to read this
- These are deliberately conservative estimates — 47 working weeks, margin you keep rather than gross revenue, and only the share of errors you actually prevent.
- Most teams find one or two drivers dominate the total. That is normal — it shows you where a build pays for itself fastest.
- Value compounds in year two and beyond, once adoption is high and the system is tuned. This tool counts only the first full year.
- Your numbers stay in your browser — nothing is sent to us or stored.
Educational estimates only. Actual value depends on your specific context, implementation quality and team adoption. For a tailored projection, speak with our team.
Questions
How accurate is the estimate?
It is a conservative, directional estimate — not a quote. It runs on your own numbers with deliberately cautious assumptions: 47 working weeks, the margin you keep rather than gross revenue, and only the share of errors you actually prevent. Treat it as a starting point for a conversation.
Does it tell me what a build costs?
No. The estimator only models the value created. We don't put a price on the build here — pricing depends on scope, which is exactly what a short discovery call is for.
Do you store the numbers I enter?
No. Every calculation runs in your browser. Nothing you type is sent to us or saved.
Which value drivers should I include?
Only the ones that genuinely apply to your situation. Most teams find one or two drivers dominate the total — that's normal, and it shows where automation pays for itself fastest.
Take the next step.
Get carefully considered AI thinking in your inbox, or book a candid strategy call — we'll tell you what we would do first, whether or not we end up working together.
Join the mailing list
Occasional insights, no noise.