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CASE STUDYWORKSPACE · BIM

GenAI layout & BIM automation: 3–4 hrs to 15 min

A hybrid engine fusing LLM reasoning with rule-based validation, auto-generating Revit scripts — office layout design collapsed from an afternoon to a coffee break.

WORKSPACE · GENERATIVE LAYOUTS

The challenge

For a leading workspace provider, every new site meant 3–4 hours of expert BIM work per layout iteration: fitting desks, rooms and amenities to floor plates under building codes, fire regulations and the operator's own density playbook. Iteration was so expensive that most sites explored a handful of options when the space deserved dozens.

Pure-LLM approaches failed the physics: plausible-looking layouts that violated codes or collided furniture. Pure rule engines failed the design: compliant layouts nobody would want to work in.

The approach

01

Encode the playbook

Density rules, code constraints and the operator's design principles captured as versioned policies.

02

Hybrid generation

LLM reasoning proposes layouts; a deterministic rule engine validates every geometry against codes — zero tolerance for collisions.

03

Revit-native output

Winning layouts compile to Revit scripts automatically — no manual redraw, straight into the BIM workflow.

04

Expert gate

Designers review scored options and sign the final layout; their choices feed back as preference signal.

05

Portfolio rollout

The engine now explores dozens of options per site as standard practice.

The results

15Minutes per layout (from 3–4 hrs)
6×Space utilisation
0Collision errors
12×More options explored per site

Why it worked

Layout cycles fell from 3–4 hours to 15 minutes — and because iteration became nearly free, the provider explores the option space properly, landing designs with 6× better space utilisation and zero collision errors across generated layouts.

The deeper lesson: in physical-world domains, hybrid beats pure. LLMs bring design intuition; rules bring guarantees; the gate brings accountability. That architecture now anchors our Vertical AI accelerators for workspace intelligence.

Your function could be next.

Every case here started as one scoped conversation about one painful workflow.