Linda Lee

Back to all work

CLIENT WORK / EXPERIENCE DESIGN

AI-Powered Supply Chain Automation

AI-Powered Supply Chain Automation

AI-Powered Supply Chain Automation

CONNECTED. ACCOUNTABLE. TRUSTED.

MY ROLE

Strategy & UX Designer

CONTRIBUTIONS

Design Thinking Facilitation, UX Strategy, Journey Mapping, Interaction Design, UI Design, Prototyping

DESIGN TOOLS

Figma, Mural, Adobe

DURATION

8 weeks

DURATION

8 weeks

01 · THE PROBLEM

Challenge

Challenge

The client wanted to explore how AI governance could be integrated into its existing ecosystem. However, governance activities across AI asset management, risk assessment, and compliance involved multiple stakeholders and interconnected responsibilities. The challenge was to bring these activities together into a cohesive experience that supported governance throughout the AI lifecycle.

The client wanted to explore how AI governance could be integrated into its existing ecosystem. However, governance activities across AI asset management, risk assessment, and compliance involved multiple stakeholders and interconnected responsibilities. The challenge was to bring these activities together into a cohesive experience that supported governance throughout the AI lifecycle.

02 · THE RESPONSE

Solution

Solution

Designed an end-to-end AI governance experience connecting workflows across AI asset creation, risk assessment, mitigation, monitoring, and compliance reporting. The experience incorporates AI-assisted risk analysis and conversational AI to streamline governance activities and improve visibility across the AI lifecycle.

Designed an end-to-end AI governance experience connecting workflows across AI asset creation, risk assessment, mitigation, monitoring, and compliance reporting. The experience incorporates AI-assisted risk analysis and conversational AI to streamline governance activities and improve visibility across the AI lifecycle.

THE SYSTEM

One connected lifecycle

One connected lifecycle

One connected lifecycle

Facilitated a collaborative design process to translate complex governance challenges into stakeholder journeys, product workflows, and a tangible experience

01

Create

02

Assess

03

Mitigate

04

Monitor

05

Report

THE RESULT

Final Designs

Final Designs

Final Designs

01

01

Building AI with Governance by Design

Building AI with Governance by Design

Enable AI asset owners to create and register AI use cases while embedding governance requirements and approval checkpoints from the beginning.

Enable AI asset owners to create and register AI use cases while embedding governance requirements and approval checkpoints from the beginning.

Key Experience Highlights

* Simplified AI use case registration and centralized asset visibility

* Compliance requirements integrated into AI creation

* Automated governance approval workflows

02

02

Managing AI Risk Across the Lifecycle

Managing AI Risk Across the Lifecycle

Enable risk officers to use AI-assisted analysis and mitigation recommendations to assess, prioritize, and manage risks throughout the AI lifecycle.

Enable risk officers to use AI-assisted analysis and mitigation recommendations to assess, prioritize, and manage risks throughout the AI lifecycle.

Key Experience Highlights

* Centralized visibility into assigned AI assets and risks

* AI-assisted risk analysis and mitigation recommendations

* Risk prioritization, compliance thresholds, and stakeholder reviews

03

03

Driving Governance Visibility & Compliance

Driving Governance Visibility & Compliance

Enable governance executives to monitor compliance, access governance insights, and use conversational AI to surface risk and cost metrics for executive oversight.

Enable governance executives to monitor compliance, access governance insights, and use conversational AI to surface risk and cost metrics for executive oversight.

Key Experience Highlights

*Executive dashboard for governance visibility

* Conversational AI for on-demand risk and cost insights

* Governance metrics accessible through dashboard and Slack interactions

03 · FROM AMBIGUITY TO ALIGNMENT

Design Process

Design Process

Design Process

Facilitated a collaborative design process to translate complex governance challenges into stakeholder journeys, product workflows, and a tangible experience

01

Discovery & Design Thinking

Facilitated collaborative workshops to uncover client priorities, stakeholder needs, and opportunities across the AI governance lifecycle

Process image 1

02

Use Case Definition & Alignment

Synthesized workshop insights into key opportunity areas and aligned cross-functional teams on priority use cases and solution directions

Process image 2

03

Journey Mapping & Storyboarding

Mapped stakeholder journeys, defined end-to-end workflows, and explored how governance activities could connect across the AI lifecycle

Process image 3

04

UI Design & Prototyping

Translated the experience into high-fidelity interfaces and interactive prototypes, incorporating client feedback to refine key interactions and workflows

Process image 4

KEY DESIGN DECISIONS

01

Govern end to end

Embed governance across the AI lifecycle

02

Design for each role

Tailor workflows to stakeholder responsibilities

03

Build in compliance

Enable real-time risk and compliance checks during agent development

04

Simplify risk oversight

Surface insights, tasks, and compliance status across touchpoints

Business Impact

Business Results

Business Results

Business Results

$1.5M+

$1.5M+

$1.5M+

Sales Pipeline Influenced

25%

25%

25%

Opportunity Conversion Improvement

4+

4+

4+

Follow-on Opportunities Identified

Explore more work