Accountant Prototype
Client Portal Prototype
Thomson Reuters identified an opportunity to revolutionize the tax advisory space with an AI-powered solution. The goal was to help firms enhance their advisory offerings and generate data-driven strategies.
As a Lead UX Designer, I was selected to join a specialized team that traveled to the Minnesota office to collaborate with cross-functional company leaders. Our mission was to brainstorm, design, and bring a functional prototype to life in time for a live demo presented to the SYNERGY 2024 audience.
Photo by Thomson Reuters
Challenges in Advisory Services
Advisory services require deep expertise, making it difficult for firms to scale their offerings efficiently. The gap between experienced professionals, who possess deep advisory knowledge, and junior accountants, who need structured guidance, was a major pain point.
The Role of AI
By leveraging AI, I aimed to simplify the advisory process, enabling firms to:
Add new clients and analyze financial data seamlessly.
Identify advisory opportunities through AI-powered recommendations.
Provide step-by-step strategic execution for CPAs.
Cross-Functional Collaboration
The project involved close collaboration with business strategists, AI engineers, researchers, design directors and specialized entrepreneurs. Our workshops in the Minnesota Thomson Reuters offices focused on aligning business objectives with user needs.
Competitive Insights
During the project, I ran a rapid on-site competitive analysis to find where an AI-driven approach could differentiate, which shaped the advisory-first direction of the prototype.
Research & Ideation
To understand the workflow of advisory professionals, we, as a team, conducted:
10 pre-Synergy and 56 Synergy user interviews with tax firm owners, partners, directors, CPAs.
Ideation sessions to map out user journeys and interaction flows
A deep dive into how AI could enhance decision-making and support the jobs-to-be-done in the advisory process
Designing to Drive Decision-Making
Initial Wireframes
After days of insightful but indecisive conversations with directors, I knew we needed something real to react to, something to move us from “what if” to “let’s build this”. So I did what I always do when things feel abstract: I opened up my design tool, threw down some rectangles and boxes, and started shaping what I could see in my head.
I teamed up with two brilliant principal designers, and we began bouncing ideas, challenging each other, and building on sparks of inspiration. Those sessions lit a fire in me. I became obsessed with getting the full flow out of my head and onto the screen, deep into two focused days, designing every screen that could bring this AI advisory solution to life.
But this wasn’t just about UI. I imagined an experience that could scale, grow, and actually think with the user. A system that offers guidance at every step, whether through a wizard, a smart loader, an automated email, or surfacing the right opportunity at the right time. A truly agentic solution.
I poured those ideas into multiple mockups, always anchoring back to what I knew about our users. And then I waited for feedback from stakeholders, client sessions, anyone who could tell me if we were on the right track. It was the kind of leap that gets real decisions made.
Refining the Experience & Building the Prototype
Not everything I designed solved the right problem at first. Some screens looked polished but missed the mark, and I had to go through tough iterations, defending some decisions, letting others go. That’s the beauty of working with smart, open collaborators: the space to challenge each other without ego.
The TR design system helped us move quickly to high-fidelity, but it didn’t cover everything this experience needed. We had to go beyond the library, crafting custom interactions that helped users discover information naturally and move through advisory steps without breaking focus.
In the end, the prototype wasn’t just a visual tool, it was a working model of how the product could think and guide. Something real we could test, show, and use to drive decisions.
The prototype focused on 3 core functionalities
Client Data Input & Analysis: A seamless onboarding experience for entering and analyzing financial data.
AI-Generated Advisory Strategies: Intelligent recommendations tailored to client needs.
Strategy Execution Guide: A structured, guided approach to implementing advisory solutions.
Takeaways
The demo at SYNERGY 2024 provided valuable real-time feedback from industry professionals. Some key takeaways:
The demo at SYNERGY 2024 gave us real-time feedback from industry professionals. Users saw clear value in faster research and reporting and in getting junior staff involved sooner.
Their main concerns were cost, data privacy and AI accuracy, and change management.
Photo By Thomson Reuters
Impact & Future Steps
The prototype gave stakeholders something real to react to and helped align product direction with business goals for AI-driven advisory.
Reflections & Lessons Learned
Leading the UX design on this high-stakes, fast-moving project taught me more than just how to ship a compelling prototype. It reshaped how I think about building for complexity, scale, and real impact.
Cross-functional collaboration is everything in AI-driven solutions
This project wouldn’t have been possible without constant alignment between design, product, engineering, UX researchers, and business directors. AI introduces nuance and ambiguity... what’s possible, what’s ethical, what’s useful. Being in the room with experts from different disciplines allowed us to shape a solution that was both technically feasible and strategically sound. UX acted as the translator between user needs and AI capabilities.
User-centered design becomes even more critical in complex financial workflows.
It’s easy to get lost in the jargon, the regulations, and the data-heavy nature of tax advisory. But behind it all are real people, junior accountants trying to build confidence, experienced CPAs looking to scale their value, firms striving to evolve. Every decision we made came back to: “Does this reduce friction? Does this support the user’s thinking? Does it help them make smarter moves, faster?”
AI product development is iterative, and humbling.
We didn't get everything right the first time. Some ideas looked promising on paper but didn’t resonate in testing. Others emerged through feedback and collaboration. Real-world input, especially from the SYNERGY audience, was invaluable. It reminded me that when you’re designing with AI, you’re not just building interfaces; you’re shaping decision-making environments. That takes time, trial, and a lot of learning along the way.
