Big 4 Bank
AI-Enhanced Internal Audit MVP
Role
UX/UI Designer
Type
Enterprise Service Design & AI-enabled Audit MVP
Tools
Figma, Mural, PowerPoint, Excel
Overview
An 8-week strategy and design engagement focused on reimagining an internal audit function within a large, highly regulated financial institution. The project explored how emerging technologies—particularly GenAI and automation—could improve auditor experience, reduce manual effort, and enable more proactive, insight-driven risk management.
Working within a cross-functional squad alongside audit experts, strategists, and subject-matter specialists, I helped design the future state of internal audit operations—transforming how auditors work and enabling them to focus on higher-value analysis and strategic decision-making.
Problem
How might we leverage emerging technologies such as GenAI to redesign the internal audit experience—shifting auditors from manual, reactive work to higher-value analysis and decision-making?
Design Challenge
Internal auditors spend significant time on repetitive, manual tasks such as data gathering, documentation review, and report generation. This leaves limited capacity for strategic risk analysis and proactive insights that could drive real business value.
Approach
The project followed a structured service design methodology, moving from deep discovery through to validated future-state concepts and implementation planning.
Four-phase approach:
•
Research & Context:
Industry and market research on audit, risk, and AI trends, plus deep dive into internal risk frameworks and operating models
•
Current State Analysis:
End-to-end process and journey mapping, user interviews with auditors, and identification of key pain points
•
Target State Design:
Personas for core audit roles, future-state journeys and service concepts, wireframes, high-fidelity designs, and conceptual prototypes
•
Socialisation:
Visual storytelling to align stakeholders and support executive decision-making
01
Manual work dominates
Auditors spend 60-70% of their time on data gathering, manual reviews, and administrative tasks rather than strategic analysis
02
Fragmented systems
Critical information lives across disconnected tools and databases, requiring significant effort to compile and validate
03
Reactive posture
Current processes focus on backward-looking compliance checks rather than forward-looking risk insights
These insights revealed a clear opportunity: by automating routine tasks and centralizing data, we could free auditors to focus on analysis, judgment, and proactive risk management.
Key Contributions
As the UX/UI designer on this engagement, I played a central role in translating research insights into tangible design artifacts and strategic recommendations.
Design deliverables:
•
Created and refined personas grounded in research and user interviews with internal auditors
•
Co-developed a "Golden Thread" connecting current workflows, user pain points, and future-state vision
•
Designed wireframes and high-fidelity screens in Figma using an enterprise design system
•
Built a visual initiative roadmap to communicate prioritisation, dependencies, and rollout strategy
•
Supported workshop preparation and facilitation using Mural for collaborative ideation and synthesis
Conceptual dashboard showing AI-assisted audit insights and automated data aggregation
Design & Prototyping
Working within the constraints of a highly regulated enterprise environment, I designed interfaces that balanced innovation with compliance requirements. The design system needed to feel modern and efficient while respecting existing brand guidelines and security protocols.
Design principles:
•
Clarity and trust through consistent enterprise design patterns
•
Progressive disclosure to surface AI-generated insights without overwhelming users
•
Human-centered automation that keeps auditors in control of critical decisions
Collaborative workshop sessions with audit stakeholders
Service design artifacts and journey mapping
Outcome & Impact
The engagement successfully delivered a comprehensive vision for AI-enabled internal audit, complete with validated concepts, prototypes, and an actionable implementation roadmap. The work enabled stakeholder alignment across the organization and secured executive buy-in for moving forward with an MVP.
8
Strategic initiatives defined including automation, dynamic reporting, and restructured audit universe
60-70%
Projected reduction in manual work through intelligent automation
Exec Buy-in
Secured leadership approval and budget for AI-enabled audit MVP
Service Design
Business Process Mapping
Persona Research
Ideation & Workshops
Wireframing & Prototyping
Enterprise Design Systems
Stakeholder Communication
Strategic Roadmapping
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