The economics, counted conservatively
06 · Economic effect An ROI canvas for a small construction company: 12 estimates a month. Every assumption is explicit — recalculated with your data during the audit.
| Parameter | Value | Source / assumption |
| Process and class | estimate production — class C (secondary A) | litcore framework, block 2 |
| Volume | 12 estimates/month | [estimate] — refined during the audit |
| Time «before» | ~2 h per typical estimate | [estimate]; complex — 4–40 h (market, 2026 [V]) |
| Time «after» | ~20 min: input + human review | [estimate] — fixed by measuring the pilot |
| Estimator's rate | ~€35/h | [estimate] — we use your real one |
| Time lever | 12 × 1.7 h × €35 ≈ €700/month | calculation, at adoption plateau |
| VAT and arithmetic errors | fewer reassessments and reworks | reserve — not in the conservative scenario |
| Reply speed to the client | fewer leads gone cold | reserve — not in the conservative scenario |
| Costs | Start from €690 + €39/mo | «from» price — approved by the owner |
PAYBACK≈ 2 months. Start at €690 with 12 estimates/month and a €35/h rate, on a 40/70/100% adoption curve over 3 months [estimate]. Conservatively — within the quarter; only the time lever is counted, the reserves come on top.
Adoption: every new estimate goes through the generatorEfficiency: minutes per estimate before/after, hours per monthQuality: PEM/PEC/VAT discrepancies vs the manual estimate — zero in the testSatisfaction: the team works from the guide, without us
Not financial advice: the calculation is a proposal built on market reference points; final figures are fixed after the audit and a pilot on your data.
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