Collaboration still lived in spreadsheets
Procurement teams relied on static Excel files to collect requirements, compare vendors, and coordinate decisions across functions.
AI-powered B2B software procurement — RFPs, research, and expert guidance in one workspace. Helped secure a $4M seed round.
Airframe helps software procurement teams research the market, collaborate on RFPs, evaluate vendors, and make decisions in one buyer-first workspace.
I worked directly with the CEO to turn interview insights into the core product, designing the end-to-end journey from requirement collection through vendor selection, evaluation, and proof of concept.
Teams needed a faster way to build context, work together, and make confident decisions in unfamiliar categories.
Procurement teams relied on static Excel files to collect requirements, compare vendors, and coordinate decisions across functions.
Without a clear view of the market, buyers hesitated and spent significant time assembling basic context before evaluating suppliers.
Reliable firsthand experience was scattered across private networks, leaving buyers uncertain about which claims and recommendations to trust.
20+ interviews
Synthesized CEO-led research into three recurring buyer pain points.
3 HMW questions
Turned the problems into seven product concepts and a buyer-first direction.
250+ screens
Built the core flows and maintained the design system through engineering handoff.
How might we replace static tools like Excel so buyers and decision-makers can work efficiently across teams?
I designed a collaborative RFP tool for buyers and vendors, with reusable templates to speed up requirement collection. Teams could edit together, track requirements, compare responses, and carry decisions forward without rebuilding the process in separate files.
How might we help buyers evaluate vendors confidently when they have limited domain knowledge?
Market guides explain category trends, major players, and positioning. Product guides bring together company fit, customer stories, feedback, NPS, and competitor context. Instead of searching across fragmented sources, buyers get a structured view of the decision.
How might we give buyers trusted advice during vendor selection so they can avoid hesitation and poor decisions?
We created a network where verified professionals could share advice grounded in real use. Buyers could find people with relevant experience and bring qualitative evidence into a process usually dominated by vendor claims.
How might we help users find exactly what they need across a large and complex procurement knowledge base?
As AI changed how people searched for information, I designed the Airframe assistant to support natural-language discovery, recommendations, and process guidance. It helps buyers locate relevant products and resources while understanding what to do next.
The product direction helped Airframe secure $4 million in seed funding, validating the opportunity for a procurement experience centered on buyer collaboration and intelligence.
$4M