Internal · scoping map · not client-facing

Facade.ai — Estimating Workflow & Automation Map

End-to-end teardown of how Imperium Building Solutions produces a facade bid, mapped against where Facade.ai takes over. Reverse-engineered from the 80 West Broadway package (RFP → scope doc → leveling form → drawings).

Source: 2026-06-01 call + 2026-06-02 email & sample_docs · automation %s are first-pass estimates, several gated on open unknowns (bottom)

The market gap, in Arianna's own words: facade firms use takeoff software to measure quantities — but you still manually identify which areas to measure, and nothing facade-specific carries those quantities into estimating (price generation + a knowledge database). Our wedge: automate the area-identification takeoff software can't do, then extend past quantities into the estimating realm — the part no tool currently touches.

6–7
robust proposals/year — throughput is capped by estimating effort, not demand
~$3.98M
furnish + install on one building's facade bid (80 W Broadway)
328 → ~25
total sheets in the RFP package vs. the facade-relevant subset Simone hand-pulls
High automation Medium Low Stays human MVP v1 scope

The pipeline — what happens vs. what Facade.ai does

◆ MVP Wedge v1 = ingest → extract → take off → reconcile. Output: a verified quantity takeoff aligned to the GC's leveling schema. STAGES 0–3
0
~95%
Intake & triageHighMVP

Manual today

GC emails an RFP + a Dropbox link. Simone opens an all-disciplines design package and pulls out only the facade-relevant sheets & specs by hand.

80 W Bway: 448 PDFs · 84 DWGs · 328 sheets · ~100 spec sections → ~25 relevant

→ Facade.ai

Ingest the entire package, classify every sheet/spec, and surface the facade subset automatically. Pure pattern-work — no judgment needed.

est. ~95% automatable
1
~90%
Read finish schedule + scopeHighMVP

Manual today

Read the GC's Exterior Finish Schedule (every material code → source, color, location) and the SOW/pricing template to establish what's to be furnished.

50+ material codes: BR-51, CT-51, GL-51A, MT-54, TC-51…

→ Facade.ai

Extract the full TAG# → material → location table and parse the SOW line items into a structured scope list.

est. ~90% automatable
2
~65%
Markup & takeoff — the bottleneckMed–HighMVP

Manual today

Simone prints elevations, hand-colors every surface by material, counts units, measures m²/lm, and applies assembly rules. Takeoff software measures once you highlight — but you still pick what to highlight.

e.g. 1 window = 6 vert + 1 horiz terracotta = 7 pcs → 189 windows = 1,323 profiles + 378 corners. 273 window/door units total.

→ Facade.ai

Auto-identify which regions are which material (the step takeoff tools can't do), extract counts + dimensions, and apply the codified assembly rules.

est. ~60–70% — the swing variable; depends on PDF vs. CAD/BIM (see unknowns)
3
~99%
Quantity reconciliationHighest-confidenceMVP

Manual today

The same quantities live in 3 formats — architect (imperial) → Imperium SOW (metric) → GC bid form (imperial/bid categories). Simone converts & cross-checks by hand, every revision.

Reconciles cleanly: surround 1,065 lm ↔ 3,491 LF (=1,064 m ✓) · planters n°42 ↔ 42 EA ✓

→ Facade.ai

Deterministic conversion + category mapping + self-validation. Because the numbers must agree across documents, the system can verify itself with no human check.

est. ~99% — deterministic & self-verifiable
4
~70%
Supplier RFQ split & sendMediumv2+

Manual today

Email the correct material subset to each supplier (window assembly mfr, glass, terracotta, shipper), then wait days while each redoes the takeoff on their portion.

→ Facade.ai

Auto-package the right material set per supplier from Stage 2–3 output, send, and track responses. Gated on a stable supplier roster (unknown).

est. ~70% automatable
5
~40%
Coordination · missing info · RFIsMediumv2+

Manual today

Meet with suppliers' engineers; flag missing info; optimize design for production → raise RFIs to the GC. (Takeoff tools auto-generate RFIs — Imperium doesn't use them.)

→ Facade.ai

Pre-empt missing info via a per-component checklist (the recurring "assumptions") and draft RFIs. The checklist piece could land early — human meetings stay human.

est. ~40% — checklist automatable, coordination is human
6
~10%
Pricing & markupStays humanout of scope

Manual today

Supplier prices arrive; Imperium layers in overhead, PM, customs & duties, contingency, engineering stamps, Italy travel → the final numbers.

→ Facade.ai

Mostly hands-off — this is Imperium's judgment/margin logic. Exception: a historical $/SF lookup for the early ballparks GCs ask for (needs a price database — unknown).

est. ~10% — deliberately kept human (the secret sauce)
7
~90%
Bid-form population & outputHighv2 (easy pull-forward)

Manual today

Type every quantity into the GC's leveling template and re-format into whatever per-element breakdown each client requires.

→ Facade.ai

Populate the leveling form from Stage 3 output and generate the per-client breakdown. The output schema already exists (below) — high value, low difficulty.

est. ~90% automatable
8
~70%
Revision diffing — ongoing 6–12 moMediumv2+

Manual today

A new drawing set lands every few weeks for 6–12+ months. Simone manually hunts the deltas between old and new sets and re-prices. "Un bagno di sangue."

→ Facade.ai

Diff drawing versions, flag exactly which quantities changed, and re-run Stages 2–3 only on the deltas. Strong recurring-value play once v1 exists.

est. ~70% automatable

Target output — the GC leveling schema (the MVP's north star)

Scope categoryUnitQty (80 W Bway)Furnish + Install
Punched windows (tilt & turn, incl. glass, receptors, straps)SF8,761$1,267,703
Painted aluminum window surroundLF3,491$314,627
Storefront systemSF912$237,967
Terracotta panels @ storefrontSF$285,200
Cantilever + mech-screen metal panelsSF3,269 / 3,660 / 655 / 566$1,360,762
Engineering, calcs, submittals, design-assistLS$291,162
Subtotal — Furnish & Install$3,984,619

The output format is fixed and learnable — we don't invent it, we populate it. A structured Alternates block sits below (2-side vs 4-side receptors +$50K/+$128K, terracotta-vs-metal surround −$105K, NY PE stamp +$29K, mockup allowances, bird glass excluded). Caveat: read from cached values, not live formulas — get the formula-level file before building against this schema.

What stays human (by design)

  • Pricing judgment & markup — overhead, contingency, margin logic
  • Customs/duties & logistics calls — case-by-case, country-dependent
  • Supplier selection & negotiation — relationships, not rules
  • Engineering / PE stamping — delegated-design liability sits with a licensed engineer
  • Final design-optimization decisions — what to value-engineer, what to flag

Open unknowns — gate the estimates above

  • PDF vs. CAD/BIM — swings Stage 2 hardest email Q5
  • Input standardization — same format GC-to-GC? email Q4
  • How codifiable the takeoff rules are — rules vs. tacit judgment email Q2
  • Pricing source — supplier quotes vs. internal price books (decides if we touch Stage 6) email Q9
  • Historical corpus — size/format for the $/SF + reference-project DB email opt.
  • Why existing tools fail — confirm gap is identification + estimating, not measurement email Q7