How I approach enterprise UX
Dense data. Real operators. Software that finally makes sense.
- Print & manufacturing MIS
- AI-native SaaS platforms
- Design systems
- B2B operations tools
Industries
years designing enterprise products people use every shift
Enterprise software shouldn't need a training manual. It should learn how operators already work, then quietly get out of the way.
more about meWhere I'm spending my time now
An AI-driven SDLC, built with Claude
I recently set up an AI-driven delivery process where product, UI, development and QA each run their own Claude pipeline. Every hand-off is generated, checked and passed along by AI, with people reviewing at each gate.
- PMRequirementsBriefs become user stories and acceptance criteria.
- UIDesignStories become flows, screens and prototypes.
- DevBuildSpecs become code, reviewed before merge.
- QATestCriteria become test cases and regression runs.
Human review at every gate · I also run Layers AI, an AI-native UX studio for B2B SaaS.
Beyond the work, there's the working together
Sample quotes shown as placeholders; real testimonials coming soon.
"Pruthvi turns messy enterprise workflows into screens people actually understand. Our engineers always knew exactly what to build."
"He brings QA in from day one. Edge cases and states were documented before we ever asked for them."
"Our AI features felt trustworthy because Pruthvi insisted every suggestion explain itself."
"A generous mentor. He taught me to start from the real job on the floor, not the screen."
"Fast, clear and calm under daily delivery pressure. Design never became the bottleneck."
Let's build something clear