GUIDED QUOTING · ORACLE CPQ (CONFIGURE, PRICE, QUOTE)
Oracle's CPQ (Configure, Price, Quote) is an enterprise product used by Sales Representatives to fulfil orders. The complex legacy product was overdue for simplification, especially because Oracle was investing in moving toward agentic AI experiences.
Tedious, multi-step quoting workflows that hadn't been meaningfully updated in years — full of friction and unnecessary steps.
Two to three agents built independently by separate teams — no shared design language, no unified experience, no single owner.
The org wanted to move in the agentic direction but lacked a cohesive product strategy for what that actually meant for the quoting experience.
Client demos needed to be ready fast. There was no time for prolonged discovery — decisions had to be made quickly and shipped close to engineering.
"Three different teams had built three different agents. What they didn't have was a unified, coherent experience for the Sales Rep doing the quoting."
Design lead responsible for bringing strategic alignment across teams and building out the end-to-end agentic workflow.
End-to-end experience design for the unified Guided Quoting agent — from vision through to shipped sprints
Brought two separate orgs and their engineering teams together around a single product direction — bridging silos that had been working independently
Created client-ready demos under tight timelines, working closely with engineering to deliver each sprint on schedule
Introduced new interaction patterns for agentic flows that were adopted into Oracle's Agentic App Builder Design System
The engineering teams had built agents. I reframed the question: what does one coherent experience feel like end to end?
"The idea was to treat the entire quoting journey as a single conversation. Not to create fragmented makeshift solutions for individual problems."
Three agents, three owners, three mental models. Users had to navigate between contexts and stitch together their own experience.
One agent. One coherent conversation. The quoting process flows from start to finish without the user ever feeling the seams between what used to be separate tools.
The interaction patterns I introduced for the agentic quoting flow were adopted into Oracle's Agentic App Builder Design System — giving the work a reach well beyond this single product.
The agent does what it's confident about and only asks the human to weigh in where judgment is genuinely needed.
Getting a seat at the leadership table from day one. By the time I joined the conversation, some foundational decisions had already been made — including the choice to build multiple agents — that I then had to work around rather than shape. The biggest design leverage on this project wasn't in the screens; it was in the product direction. I'd push for that seat much earlier next time.
The hardest design problem on an agentic product isn't the AI doing the work — it's designing the moments where control passes back to the human. Every handoff point needs to feel natural and trustworthy, not like an interruption. Getting those transitions right was where most of the real design thinking happened on this project.