Set your fees, your team and your rates. Watch the invoice your practice already pays — quietly, every project — add itself up.
Archie answers your project’s questions with sources, live — no canned demo. Pricing scales with what it recovers: typically under 10% of the invoice Archie wins back on a project.
Book a working session →Model (all lines are ranges): hunt = your search hours × team × weeks × staff rate, ±25%, scaled by information scatter (5 places = neutral) · echo = your leads × 2–4 h/week × lead rate, same scaling · drift = 5–9% of project hours as rework × the 48% data-driven share, at staff rate · late catch = your correction rounds × 200–450 h redesign at a blended rate + admin, capped at 6% of fee. Recovery rates (same as the deck): 50% of search time, 40% of interruptions, 40% of data-driven rework, 70% of late findings — the interruptions line is our assumption; no industry statistic exists. Sources: McKinsey Global Institute (2012): knowledge workers spend 19% of the week (~90 min/day) searching and gathering information · FMI/PlanGrid, “Construction Disconnected” (2018, 599 construction leaders — contractor-side): 5.5 h/person/week searching; 48% of US rework from poor data · FMI/Autodesk (2021, 3,900+ professionals): bad data caused ~$88bn of global rework in 2020 · Love (2002) & Burati et al. (1992): total rework ≈12% of contract value, design-induced share largest · Get It Right Initiative (2016): avoidable error 10–25% of project value · US city plan-review records: 2–3 correction cycles typical. The studies date 2012–2022 — every euro figure here is time × the rates you set above.