CASE STUDY · ATOS

Atos Cloud GenOps Console

Streamlining complex AI workflows for enterprise clients.

Role
Senior UX Designer
Team
Chief AI Officer, Engineers, Data Scientists
Timeline
12 months
Platform
SaaS web
Tools
Figma, GitHub
Atos Cloud GenOps Console key screen

The challenge

GenAI workflows were spread across tools and teams. Delivery ran on documentation, manual coordination and institutional knowledge, which limited visibility, consistency and confidence at enterprise scale.

Project outcomes

  • 40% faster from discovery to technical POC with a wizard-based project builder
  • One command center for initiative health, cost and governance
  • Marketplace-ready, supporting the AWS and Azure Marketplace launch

Role and responsibilities

What I owned

Research & Strategy

  • Partnered with platform, cloud and AI experts on workflows, constraints and risks
  • Synthesized technical inputs into problem definitions and experience principles
  • Defined scalable IA for evolving GenAI capabilities

Design Execution

  • Designed end-to-end flows for complex GenAI and cloud processes
  • Led UX and UI: layout, hierarchy, components and interactions
  • Applied progressive disclosure and state-based design

Systems & Launch

  • Established reusable patterns and interface conventions
  • Partnered with engineering on feasibility and implementation
  • Refined workflows from early internal rollout feedback

The reality of scaling GenAI

GenAI moves fast. Organizations don’t.

Competitive pressure drove rapid investment, but the workflows needed for responsible, scalable delivery lagged behind.

$40BEstimated U.S. enterprise spend on GenAI initiatives
95%Organizations reporting no measurable return
5%Organizations integrating AI into production at scale
300+Public AI initiatives reviewed
“While GenAI is moving at lightning speed, organizations are still moving at the speed of, well, organizations.”
— Douglas Karr, Forbes 2024

Design approach & alignment

From executive vision to a scalable system

The challenge was alignment, not ideation. I facilitated workshops with the Chief AI Officer, engineers, data architects and scientists, using low-fidelity wireframes to make abstract ideas tangible and ground the conversation in real workflows for three audiences.

Technical decision makersArchitects, engineers and data teams who configure, deploy and maintain GenAI systems.
Delivery & operationsTeams moving initiatives from pilots into production.
Business stakeholdersLeaders accountable for outcomes, risk and governance.

Design decisions

How I drove it

KEY DECISION 01

Visibility precedes trust

What I did. Designed a command center that surfaces initiative health, cost and governance status for every project, with drill-down analytics and global filters by region, department or LLM provider.

Why it mattered. Teams lacked a shared view of where initiatives stood, so decisions were reactive instead of intentional.

KEY DECISION 02

Governance embedded, not bolted on

What I did. Surfaced health and compliance checks directly inside the building environment, so technical users stay informed without leaving their flow.

Why it mattered. Treating governance as a downstream step created friction and delays as initiatives approached production.

KEY DECISION 03

A standard lifecycle to scale

What I did. Built a multi-stage project builder that moves every initiative from concept to sandbox to production.

Why it mattered. It cut time from discovery to technical POC by 40% while making sure governance checkpoints weren’t missed.

Reflection

Impact & learnings

Most challenges weren’t technical, they were organizational. Teams needed clarity, shared language and structure before innovation could scale responsibly. While the console wasn’t fully productized externally, its core concepts informed a more mature internal platform across Atos’s AI practice.

Bridged technical and business goalsTranslated complex GenAI infrastructure into a clear enterprise experience.
Supported go-to-marketShaped how GenOps value was communicated, including a promotional video.
UX as a strategic partnerShaped strategy, scalability and trust, not just usability.

Some visuals and details are generalized to respect client confidentiality.