SAP's AI-Powered Solution Advisor Tool

SAP's AI-Powered Solution Advisor Tool

SAP's AI-Powered Solution Advisor Tool

Hasso-Plattner Innovation Award Nominee - 2025!

Hasso-Plattner Innovation Award Nominee - 2025!

Hasso-Plattner Innovation Award Nominee - 2025!

Enhancing SAP’s Employee Card-Sending Experience

Role

Role

Role

  • Lead UX Designer

Team

Team

Team

  • 2 Developers

  • 2 Enterprise Architects

  • 1 Project Manager

Tools

Tools

Tools

  • Figma

  • SAP Fiori Design Kit

Quick Overview - Finding the Right Solution Took Too Long

Quick Overview - Finding the Right Solution Took Too Long

Quick Overview - Finding the Right Solution Took Too Long

SAP customers spent hours (if not weeks) figuring out whether a business need required a custom build or could be solved with an existing SAP solution. With the Solution Advisor Tool, it would take them less than 2 minutes.

The Problem -

The Problem -

The Problem -

Finding the right SAP solution for customers was slow, manual, and confusing.

Finding the right SAP solution for customers was slow, manual, and confusing.

the solution -

the solution -

the solution -

An AI-powered Solution Advisor Tool that instantly matches customer needs to the right SAP offerings.

An AI-powered Solution Advisor Tool that instantly matches customer needs to the right SAP offerings.

impact

impact

impact

User Impact:

• Discovery time reduced from 10 min → 2 min
• AI recommendations now made explainable and trusted
• Exploration made transparent and intuitive


Business Impact:

  • Saves 100s of hours in manual discovery

  • Scales reuse of existing SAP solutions

  • Nominated for the Hasso Plattner Innovation Award

A project involving an interactive accessible map designed to guide "citizen scientists" to analyze eclipse data, ensuring that every observer, regardless of their physical abilities, could partake in this experience, particularly members of the Blind and Low-Vision community.

action

action

action

What led to the solution?

What led to the solution?

  • AI Design Thinking Workshop • User Interviews • Journey Mapping
    Prototyping • A/B Testing • Cross-functional Collaboration

  • AI Design Thinking Workshop • User Interviews • Journey Mapping
    Prototyping • A/B Testing • Cross-functional Collaboration

  • AI Design Thinking Workshop • User Interviews • Journey Mapping
    Prototyping • A/B Testing • Cross-functional Collaboration

Now, let's take a closer look at the problem

Now, let's take a closer look at the problem

Now, let's take a closer look at the problem

CONTEXT

CONTEXT

CONTEXT

SAP customers often spend days determining if a solution exists or a custom build is needed.

SAP customers often spend days determining if a solution exists or a custom build is needed.

SAP customers often spend days determining if a solution exists or a custom build is needed.

This manual exploration took hours or even days, requiring technical expertise and deep SAP product knowledge.

A POC was developed - SAP's Solution Advisor Tool!

A POC was developed - SAP's Solution Advisor Tool!

It's goal - to help SAP customers find the right solution match for their business use case.

Users describe their business challenge in plain language / by uploading an image or pdf.

Step 1 -

User inputs the business problem.

Step 2 -

AI interprets the request, begins matching process.

Step 2 -

Displays top 10 matches to the user.

However, this POC was very technical and hard to use. And the biggest challenge of all was to create trust and transparency in the matched solutions given by AI.

The Challenge

How might we design a transparent, intuitive AI tool that helps users quickly discover and trust the right SAP solution for their needs?

How might we design a transparent, intuitive AI tool that helps users quickly discover and trust the right SAP solution for their needs?

RESEARCH

RESEARCH

RESEARCH

Understanding pain points through an AI Design Thinking Workshop, Stakeholder Interviews, and User Testing sessions

Understanding pain points through an AI Design Thinking Workshop, Stakeholder Interviews, and User Testing sessions

Understanding pain points through an AI Design Thinking Workshop, Stakeholder Interviews, and User Testing sessions

❌ Unclear entry point - users couldn’t easily find where to start or sign up.

❌ Unclear entry point - users couldn’t easily find where to start or sign up.

⚠️ Information overload - results screen had excessive data and no clear hierarchy.

⚠️ Information overload - results screen had excessive data and no clear hierarchy.

❓ Low process visibility - users felt lost and unsure of their progress toward the final match.

❓ Low process visibility - users felt lost and unsure of their progress toward the final match.

📊 Key Insight: Only 30% of participants reached the final step- taking an average of 10 minutes to complete the process.

📊 Key Insight: Only 30% of participants reached the final step- taking an average of 10 minutes to complete the process.

📊 Key Insight: Only 30% of participants reached the final step- taking an average of 10 minutes to complete the process.

IDEATION

IDEATION

IDEATION

Mapping the Experience: From “As-Is” to “To-Be”

Mapping the Experience: From “As-Is” to “To-Be”

Mapping the Experience: From “As-Is” to “To-Be”

As-Is Journey:

The As-Is journey revealed four key pain areas:

  • Entry Confusion – Users struggled to understand where to begin the process.

  • Cognitive Overload – The results screen displayed excessive, unstructured information.

  • Navigation Gaps – No clear sense of progress or where the user was in the flow.

  • Inefficient Outcomes – Reaching a relevant result took up to 10 minutes and multiple retries.

As-Is Journey:

The As-Is journey revealed four key pain areas:

  • Entry Confusion – Users struggled to understand where to begin the process.

  • Cognitive Overload – The results screen displayed excessive, unstructured information.

  • Navigation Gaps – No clear sense of progress or where the user was in the flow.

  • Inefficient Outcomes – Reaching a relevant result took up to 10 minutes and multiple retries.

As-Is Journey:

The As-Is journey revealed four key pain areas:

  • Entry Confusion – Users struggled to understand where to begin the process.

  • Cognitive Overload – The results screen displayed excessive, unstructured information.

  • Navigation Gaps – No clear sense of progress or where the user was in the flow.

  • Inefficient Outcomes – Reaching a relevant result took up to 10 minutes and multiple retries.

Using these findings, I mapped an ideal To-Be journey emphasizing clarity, efficiency, and ease:

  • Guided Entry: Simplified onboarding for a smooth start.

  • Progressive Disclosure: Show only essential inputs and results.

  • Predictable Flow: Clear progress indicators and hierarchy.

  • Actionable Insights: Personalized solution matches with reasoning and confidence scores.

DESIGN

DESIGN

DESIGN

Designing for human-AI collaboration rooted in Human-Centered Design

Designing for human-AI collaboration rooted in Human-Centered Design

Designing for human-AI collaboration rooted in Human-Centered Design

After identifying user pain points, I redesigned the experience using SAP Fiori design guidelines and AppHaus’ human-AI interaction principles.

Final experience features:

  • An intuitive business use case input

  • AI-generated top 10 solution matches

  • Rationale behind matched solutions

  • Pointing users to the right direction from the solution

  • Full alignment with SAP’s design system for consistency and scalability

FINAL DESIGN

FINAL DESIGN

FINAL DESIGN

Take a look at a few before-after enhancements

Take a look at a few before-after enhancements

BEFORE:

AFTER:

BEFORE:

AFTER:

BEFORE:

AFTER:

BEFORE:

AFTER:

IMPACT

IMPACT

IMPACT

Matched solutions to business problems can be found in under 2 min

Matched solutions to business problems can be found in under 2 min

Time reduced: 10 minutes → under 2 minutes (80% decrease)
Empowered Users: Leveraging the power of the tool to make informed decisions
Better clarity & trust: Transparent AI reasoning & pointing to the right teams
Recognition: Submitted for the Hasso Plattner Award 2025

UPCOMING - Next Steps:
Expanding the Solution Advisor with agentic AI features for personalized recommendations based on real-time customer data.

UPCOMING - Next Steps:
Expanding the Solution Advisor with agentic AI features for personalized recommendations based on real-time customer data.

UPCOMING - Next Steps:
Expanding the Solution Advisor with agentic AI features for personalized recommendations based on real-time customer data.

REFLECTIONS

REFLECTIONS

REFLECTIONS

Designing for AI means designing for trust

Designing for AI means designing for trust

Designing for AI means designing for trust

This project taught me that successful AI experiences aren’t about automation, they’re about partnership.

Grounded in human-centered design, I worked hand-in-hand with business teams, technical users, and real customers - ensuring that the final solution was not only feasible and scalable but also meaningful and intuitive for the people who use it.

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