My Framer Site

Driving AI Innovation at SAP with Design Thinking Workshops

Enhancing SAP’s Employee Card-Sending Experience

Role

UX Designer

Team

SAP AppHaus Team
Enterprise Client Stakeholders
Business & Technical Experts2 QA

Tools

SAP’s AI Innovation Toolkit
Figma
Mural

Quick Overview

At SAP AppHaus, I facilitated AI-focused design thinking workshops with global enterprise clients. These sessions used SAP’s AI Innovation Toolkit to uncover high-impact AI opportunities, align cross-functional teams, and bring early concepts to life.

While client details are confidential, I’ll share how I structured these workshops, the methods I used, and the kind of impact they created.

The Problem

Enterprise clients often know they want to leverage AI, but struggle to:

Identify real, high-value use cases
Balance user needs, technical feasibility, and business value
Visualize how AI could actually fit into workflows

This leads to vague “AI for the sake of AI” initiatives instead of meaningful innovation.

Identify real, high-value use cases
Balance user needs, technical feasibility, and business value
Visualize how AI could actually fit into workflows

This leads to vague “AI for the sake of AI” initiatives instead of meaningful innovation.

the solution

I used SAP’s AI Innovation Toolkit to structure design thinking workshops that:

Guided teams through discovery, ideation, and prioritization
Translated abstract AI opportunities into user-centered workflows
Equipped teams with methods they could reuse internally

I used SAP’s AI Innovation Toolkit to structure design thinking workshops that:

Guided teams through discovery, ideation, and prioritization
Translated abstract AI opportunities into user-centered workflows
Equipped teams with methods they could reuse internally

impact

And solving this matters because:

Even though results vary by client, across workshops we consistently saw:

High-Impact Use Cases Identified – Teams uncovered 15+ actionable opportunities for AI adoption.
Increased Alignment – Business, technical, and design stakeholders left with a shared vision.
Reusable Frameworks – Internal teams gained the ability to run their own AI innovation workshops.
Early Prototypes – Tangible workflows and storyboards that made AI concepts real and testable.

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

What led to the solution?

Discovery & Alignment
- Kicked off workshops by framing client challenges and desired outcomes.
- Used toolkit exercises like AI Opportunity Cards and What-If Scenarios to spark fresh perspectives.
2. Ideation & Prioritization
- Facilitated brainstorming around potential AI use cases.
- Mapped each idea across feasibility, desirability, and viability using the AI Canvas.
- Helped teams prioritize high-impact, actionable opportunities.
3. Storyboarding & Prototyping
- Guided participants in creating user journeys and storyboards with the toolkit.
- Turned abstract AI concepts into tangible early workflows that teams could test and refine.
4. Documentation & Handoff

Discovery & Alignment
- Kicked off workshops by framing client challenges and desired outcomes.
- Used toolkit exercises like AI Opportunity Cards and What-If Scenarios to spark fresh perspectives.
2. Ideation & Prioritization
- Facilitated brainstorming around potential AI use cases.
- Mapped each idea across feasibility, desirability, and viability using the AI Canvas.
- Helped teams prioritize high-impact, actionable opportunities.
3. Storyboarding & Prototyping
- Guided participants in creating user journeys and storyboards with the toolkit.
- Turned abstract AI concepts into tangible early workflows that teams could test and refine.
4. Documentation & Handoff

Discovery & Alignment
- Kicked off workshops by framing client challenges and desired outcomes.
- Used toolkit exercises like AI Opportunity Cards and What-If Scenarios to spark fresh perspectives.
2. Ideation & Prioritization
- Facilitated brainstorming around potential AI use cases.
- Mapped each idea across feasibility, desirability, and viability using the AI Canvas.
- Helped teams prioritize high-impact, actionable opportunities.
3. Storyboarding & Prototyping
- Guided participants in creating user journeys and storyboards with the toolkit.
- Turned abstract AI concepts into tangible early workflows that teams could test and refine.
4. Documentation & Handoff

Take a look at the toolkit

Jump to the final design ↓

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

CONTEXT

Did you know this…

42%

Products fail from

a lack of market

need

Products fail from

a lack of market

need

80%

Unused features

in the average

software product

Unused features

in the average

software product

$29b

Wasted developer

time and money

Wasted developer

time and money

At SAP AppHaus, our workshops tackled this exact challenge: helping enterprise clients cut through the noise, identify meaningful AI opportunities, and design solutions that truly met user and business needs.

METHODS

To simplify the experience, I introduced two key search enhancements.

Business AI Explore Workshop

Goal
Identify real business challenges and opportunities where AI can add value.

How it works

Use opportunity cards as prompts to spark brainstorming.
Generate a wide range of potential AI use cases.
Describe and detail the most relevant ideas.
Compare and prioritize use cases to decide which ones to pursue further.

Outcome
High-potential, business-aligned AI use case(s) to take into design and prototyping phases.

Business AI Design Workshop

Goal
Understand the current (as-is) user objectives and challenges, then design a future (to-be) scenario that leverages AI to solve them.

How it works
The team maps the current “as-is” journey, identifies pain points, and collaboratively defines an improved “to-be” scenario that integrates AI capabilities.

Outcome
A clear vision of an AI-enhanced solution, with defined user journeys and scenarios ready for prototyping.

Joule Agent Discovery Workshop

Goal
Understand the power of agentic AI, how it differs from traditional automation, and identify high-value agent use cases that can drive productivity.

How it works
Participants learn how agentic AI differs from other automation, discuss its potential, and brainstorm where autonomous agents can deliver the most impact.

Outcome
A documented high-value agentic use case, defined in detail and ready for further design exploration.

AI Agent Design Workshop

Goal
Understand the power of agentic AI, how it differs from traditional automation, and identify high-value agent use cases that can drive productivity.

How it works

Clarify goals → Define where AI could create the greatest impact.
Identify responsibilities → Decide which tasks should be owned by the agent vs. humans.
Outline the role → Describe the agent’s required skills and capabilities.
Design the collaboration → Plan how the agent and humans will work together.

Outcome
A design blueprint for an AI agent, including goals, responsibilities, and interaction model—ready for prototyping and validation.

REFLECTIONS

What I Learned: Aligning AI with Human Needs

Across all four workshops, I learned that innovation with AI isn’t about the technology alone—it’s about facilitating alignment between business goals, technical feasibility, and human needs.

The AI Innovation Toolkit provided structure, but the real impact came from helping teams ask the right questions, prioritize wisely, and visualize possibilities in ways they could act on immediately.

Siri Pothuri

Work

Play

About

Resume

Let’s talk