We're not buying a tool. We're investing in a new way of working.
The bet is prototype-led learning — spin up working software fast so teams get clarity from experience, not from meetings. The specific tool is a means, not the message.
The wrong headline is "tool X is cheaper than tool Y." That puts the argument on the vendor's turf and gets picked apart on hour estimates nobody can defend yet.
The real case: rapid, working prototypes are the fastest instrument we have for learning. They collapse coordination cost, cost of delay, and wrong-build risk. Whichever tool gets us there fastest — Lovable today, something else tomorrow — is a line item, not the argument.
Underneath the dollars, this capability exists to answer five questions faster than the org can on its own — which problem to solve, what to prototype, how to validate in a week, how to earn executive buy-in, and how to know whether to invest.
The three costs we're actually cutting
The meetings-to-clarity tax
Ambiguous ideas generate meeting trails. A prototype in the room ends the thread — often async, in one review, sometimes zero.
5 meetings × 5 people × 1 hr × $150 = $3,750 per idea — before a line of code.
Value that erodes while you decide
Every week an opportunity sits in 'we're aligning' is a week the market moves, competitors ship, or the sponsor loses patience. Reinertsen: delay usually costs 5–10× the work itself.
4 weeks × $10K/week of opportunity value = $40K per initiative.
The confidently-wrong roadmap
The most expensive prototype is the one you skip. A prototype that kills a wrong-build returns many multiples of its cost — and you never see it in the P&L, because the disaster didn't happen.
One prevented $300K wrong-build dwarfs the entire tooling budget.
Plug in your numbers
Every input is yours. We supply the frame, not the claim.
Applied across your 12 ideas/year. Adjust weekly value to the average opportunity size — small internal tools vs. customer-facing bets.
Even a fractional avoided build (0.25 = one every four years) usually clears the entire tool budget.
What the tooling costs — whatever tool we pick
Whichever rapid-prototyping platform we standardize on, the shape of the spend is the same: a small number of seats at a few different intensity tiers. The numbers below are typical order-of-magnitude ranges for the current generation of AI prototyping tools — adjust for your actual vendor and any enterprise discount.
| Persona | Cadence | Typical / mo |
|---|---|---|
| Light PM | 1–2 small prototypes | $25 – $50 |
| Active PM | 3–5 prototypes, real iteration | $100 – $200 |
| Heavy PM / builder | Weekly prototypes + backend + AI usage | $250 – $500 |
| Dedicated rapid prototyper | Daily prototypes, full toolchain | $500 – $1,000 |
Vendors package this differently — seats, credits, tokens, usage tiers — but the per-person monthly cost lands in these ranges. That's the number to plug in below.
Vendor-neutral. Swap the per-seat cost in when procurement lands a specific contract.
What the capability actually costs
Tools are the small line. The honest denominator includes the people running the capability — the Director and the Innovation Accelerators. Leadership will ask; better to put it on the table.
Fully-loaded comp = salary + benefits + taxes + typical overhead. Swap in your org's actual numbers. Supporting Partners (Product, Design, Engineering) are shared org resources and aren't modeled here.
We're investing $618,400 a year in people and tooling to unlock $825,000 in coordination, delay, and wrong-build cost we currently pay silently.
No claim about hours-in-Figma. No made-up multipliers. Every number came from the reader.