Proptech SaaS Case Study
About 4× estimated effective
delivery capacity
Same team size · Already using AI · March vs January
Proptech SaaS Case Study
A strong product team already using AI individually brought it into a shared delivery process.
Why an Engineer’s
mindset matters
A strong, fast-moving Proptech SaaS team already used AI in daily development. GenieWorks brought that capability into a shared engineering process: investigated requests, clear agreements, and implementation reviewed against the intended outcome.
Project context and decisions carried through the work, giving the whole team a common way to deliver with AI.
What the 4× estimate means
March compared with January 2026: 3.9× estimated effective delivery capacity, rounded to 4×. Team size was unchanged, and developers already used AI individually.
The estimate combines recorded human work with estimated GenieWorks effort from delivered changes and specification work.
This comparison covers the team’s customized adoption of GenieWorks. Missing worklogs and estimated effort limit it; it does not establish delivery speed, cost savings, or GenieWorks’ isolated contribution.
Source: corrected CPO Delivery Impact Report, January–June 2026.