SAP
Transforming Enterprise UX with Intelligent AI Features
My Role
Lead Designer
Efficiency
18x Faster
Timeline
12 Weeks
Strategic Value
Featured in Upsell Deals
Overview & Business Goal
Integrating AI to remain competitive and increase sales for existing customers
SAP Fieldglass is a product that helps companies manage their temporary workforce from onboarding through payment. With the rise of Generative AI technology, integrating AI use cases became a top priority. It was critical to ensure SAP remains competitive in the market and also offered an opportunity to increase sales for existing customers.
The form pages throughout the app presented a clear opportunity for AI integration because they required extensive manual input which customers complained was too long and tedious.
📦 Archived Designs: Adding Skills to Job Posting
📦 Archived Designs: Adding Deliverables to SOW
Solution & Deliverable
Faster form pages: AI assisted form completion
I led the design of AI-enhanced workflows that streamlined how customers create Job Postings and Statements of Work (SOW). These new workflows made the process faster and more intuitive while aligning with strategic business goals.
The Design Process
Working closely with Product Management and Engineering
For each project we decided on a release goal of three months and working fast was critical. I lead the design and worked closely with the Product Management and Engineering teams to understand the requirements, user behavior, and constraints. I iterated quickly based on feedback during our weekly meetings.
Discover
Data Mining
Define
Problem Definition
Project Scoping
Design
Ideation
Wireframing
Prototyping
Web Design
Deliver
Developer Handoff
User Research
Designing for the 80% - Understanding user behavior through data mining
With limited access to users, I relied on data mining to better understand user behavior. I wanted to understand the average number of deliverables that users typically add to their SOWs. This would help determine how many items to generate with the AI output. I learned that on average, users created 11 deliverables. I used this number as the default for the designs while allowing them to adjust if needed.
Design Decision
“Just add a button” - Embed AI while adhering to existing behaviors
There were many discussions surrounding where the AI should be placed with many suggestions to “add a button”. However, this experience separated the same end goal into two workflows. Also, it would require users to adapt their current behavior.
Instead of doing this, I suggested embedding the recommendations within the existing workflow. This created a more seamless experience.
✅ Integrating suggestions into existing modals
Design Decision
Communicating AI accuracy to build trust and make faster decisions
Many customers are skeptical on the accuracy of AI output. To help address this concern, I included a match accuracy measurement along with the information that was used to determine the score. This provided more transparency into the output and gave the user more confidence in their decision.
Design Decision
Human oversight to adjust AI output
Often, the AI-generated output wasn’t fully accurate. To give users confidence and control, we made it possible to manually adjust the information if it didn’t meet their standards. This not only provided peace of mind, but also reinforced that the output wasn’t final. To support this, I proposed using a modal instead of populating the table directly, allowing users to review and edit the content before applying it
Impact and Lessons Learned
Driving tangible impact through new AI feature suite delivery
Delivering features for the new AI feature suite brought tangible impact to the business. With AI being new technology the design patterns are not well established. I learned many important lessons in how to design for AI.
Results:
🚀
18x Faster
SOW Deliverable Creation (~4m 30s → ~15s)
🚀
4.5x Faster
Job Posting Qualification Creation (~90s → ~20s)
💰
Featured in Renewal & Upsell Deals
Strategic Value
Lessons Learned (AI Design)
📞
Communicate
Show the logic behind how AI is working
🤖
Embed in Existing Workflows
Find creative ways to add AI into current user processes
👤✋
Human Oversight
Give users the ability to edit & refine AI output
Let’s work together
Let’s build something together. Feel free to drop me a message