Standardizing Pavement Management with AI
COMPANY
Cyvl
TIMELINE
5 weeks
IMPACT
Critical role in 34% of 2025 deals
Problem
BUSINESS POV
Cyvl needed to better leverage its data to drive platform stickiness and expand value for municipal clients.
USER POV
Creating annual pavement maintenance proposals is manual, inconsistent, and time-consuming.
Solution
Introduced AI-powered workflows to standardize proposal creation, reducing manual effort and improving consistency across highly technical documents.
Process
Identified the highest-value workflow through user interviews: most users sought help creating asset management plans.
Rapidly prototyped the experience using Figma and v0, then refined the frontend directly using Cursor.
Validated designs through feedback testing: initial concepts reached 30–40% acceptance, prompting another iteration cycle. Updated designs improved to 75–90% acceptance.
The interface is "10 times better than any other program we've worked with"
A Cyvl User
Learnings
Too many success metrics diluted focus, leading to unclear prioritization and sequencing decisions.
Ship complete features incrementally, rather than multiple partially finished ones.
Incorporate dogfooding into the release cycle to increase confidence before production.