
An AI platform that gives architects their time back.
End-to-end build of a SaaS product designed around the actual workflow of a working architecture studio.
- 72NPS (90 days)
- 12Beta studios paying
- −34%Admin hours saved
- 8 wk.Brief to beta
Brief
Telos approached us with a thesis : architecture studios spend 30%+ of billable hours on documentation, compliance and admin work that AI can now handle. They had the technical team to build the AI. They didn't have the brand, the product strategy, or the UI to make architects actually adopt it.
Challenge
Design a SaaS that architects choose voluntarily — a tribe famously suspicious of software that promises to 'help' them. Earn trust at first contact, prove value in the first week, become indispensable by month three.
Our approach
Six-week embedded research inside three real architecture studios. Workflow mapping, pain point ranking, software diary. The product strategy that emerged was ruthless : ship three features perfectly instead of fifteen mediocrely. UI/UX built to feel like a respected colleague, not an assistant. Engineering using Next.js, Supabase, Claude API, and a Stripe billing system designed for studios with project-based budgets.
Outcome
Beta launched with 12 paying studios in the first month. NPS in the 70s within the first 90 days (very rare for a new B2B SaaS). Time-to-value measured in days, not weeks. Seed funding closed shortly after beta on stronger terms than baseline.
How we did it
Five phases. One project.
- 01
Embedded research
6 weeks inside 3 architecture studios, workflow mapping.
- 02
Product strategy
Feature scoping, prioritization, MVP definition.
- 03
Brand & UX
Visual identity, design system, key flows.
- 04
Build
Full-stack development : Next.js, Supabase, Claude API, Stripe.
- 05
Beta launch
Onboarding 12 founding studios, weekly iteration cadence.
Hubs involved
- Paris
- London
Disciplines
- Product strategy
- Brand strategy
- UI/UX design
- SaaS development
- AI integration
Next step
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