Oracle Enterprise · Agentic AI · Legacy Redesign

Turning a fragmented legacy workflow into a single agentic experience

GUIDED QUOTING  ·  ORACLE CPQ (CONFIGURE, PRICE, QUOTE)

The Impact
23% Customers adopted in 3 months of release
42% Retention rate for the Agentic workflow
3 Legacy workflows sunsetted and replaced
My Role
Lead Product Designer (team of 3)
Timeline
Oct 2025 – Ongoing
Team
2 Design Orgs, Product, Engg.
Platform
Web - SaaS
Status
Shipped + Ongoing Improvements
The Challenge My Role Strategic Thinking The Work Retrospective Impact

A legacy product, tedious workflows, and a team pulling in different directions

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.

Legacy complexity

Tedious, multi-step quoting workflows that hadn't been meaningfully updated in years — full of friction and unnecessary steps.

Siloed execution

Two to three agents built independently by separate teams — no shared design language, no unified experience, no single owner.

No agentic vision

The org wanted to move in the agentic direction but lacked a cohesive product strategy for what that actually meant for the quoting experience.

Tight timelines

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."

Bringing two siloed teams together around one vision

Design lead responsible for bringing strategic alignment across teams and building out the end-to-end agentic workflow.

I led

End-to-end experience design for the unified Guided Quoting agent — from vision through to shipped sprints

I aligned

Brought two separate orgs and their engineering teams together around a single product direction — bridging silos that had been working independently

I drove

Created client-ready demos under tight timelines, working closely with engineering to deliver each sprint on schedule

I contributed

Introduced new interaction patterns for agentic flows that were adopted into Oracle's Agentic App Builder Design System

Reframing the problem as a systems challenge

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."

Before

Three agents, three owners, three mental models. Users had to navigate between contexts and stitch together their own experience.

After

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 Original Workflow
Design System Impact

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.

One agent, two paths — both ending at a ready-to-send quote

The agent does what it's confident about and only asks the human to weigh in where judgment is genuinely needed.

1.1 — Entry point
The banner that brings users in

A contextual banner on the Products & Pricing tab invites reps to launch Guided Quoting. One of several entry points — this one targets feature adoption, surfacing the agent to reps who might not know it exists.

Entry point banner
Retrospective

What I'd do differently

I'd start earlier on

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.

What I learned

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.

Impact
23% Customer adoption within 3 months of release
42% Retention rate for the Agentic workflow
3 Legacy workflows sunsetted and replaced by the unified experience
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