Microsoft 365 Copilot + AI

Microsoft AI adoption, simplified

Designing a clear, intuitive experience for a complex AI ecosystem

Our design team worked in close collaboration with the Microsoft Adoption team to reimagine the Microsoft 365 Copilot Hub, Scenario Library, and launch a brand-new AI Agents Hub. These high-impact experiences are helping raise the bar for what’s possible in Microsoft’s AI enablement efforts—making it easier and more engaging for customers to explore, adopt, and gain value from Microsoft 365 and AI solutions.

Client

Microsoft

UX + STRATEGY + DESIGN + VIDEO PRODUCTION + ANIMATION

Key Challenges

  • Navigation complexity
  • Content fragmentation
  • Lack of visual engagement

Project

Microsoft AI adoption experience (Copilot adoption hub, scenario library, and AI agents ecosystem)

Focus

Making AI adoption more intuitive, discoverable, and engaging

Outcome

A clearer, more intuitive, and visually engaging experience that simplifies AI adoption

The Problem

User challenge
Users struggled to navigate a growing AI ecosystem that felt complex, fragmented, and difficult to understand quickly.
Business need
Microsoft needed a clearer, more intuitive way to present its expanding AI offerings so users could find relevant solutions and adopt them with confidence.
Risk of inaction
Without change, increasing complexity would continue to slow adoption, reduce engagement, and weaken how the value of Microsoft’s AI ecosystem was perceived.

The Goal

Create a clearer, more intuitive AI adoption experience that helps users understand Microsoft’s offerings, navigate the ecosystem with ease, and engage with relevant solutions more quickly. Success meant improving clarity, simplifying navigation, increasing engagement, and supporting stronger adoption as the AI platform continued to grow.

The Approach

Reduced complexity through structure
The AI ecosystem had grown fragmented and difficult to navigate. The approach focused on simplifying information architecture so users could understand the landscape quickly and move through it with less cognitive effort.
Designed around user intent, not product listings
Content was reframed to help users understand where to start, what was relevant, and how different AI capabilities fit their needs, rather than presenting tools as isolated features.
Established clear visual hierarchy
Layout, spacing, and visual cues were redesigned to improve scanning, guide attention, and make complex information easier to absorb at a glance.
Created a scalable experience
The redesign established a flexible foundation that could support future AI offerings without reintroducing complexity as the ecosystem continues to expand.

Key design solutions

Clear entry point for AI adoption

A single, well-defined starting point helps users understand where to begin, reducing hesitation and confusion in a complex AI ecosystem.

Simplified navigation and content grouping

Related AI capabilities were grouped more logically, making it easier for users to scan options and find what’s relevant without digging through fragmented sections.

Stronger visual hierarchy for faster comprehension

Improved layout, spacing, and visual emphasis guide attention and help users understand key information at a glance, instead of forcing them to read everything.

Consistent structure across AI experiences

A shared visual and structural system creates familiarity across Copilot, scenarios, and agents, helping users move between areas without relearning the interface

Outcomes & impact

Usability & navigation

Users can now move through the AI ecosystem more easily, with clearer entry points and better-organized content that reduces friction and confusion.

Engagement & clarity

Improved visual hierarchy and storytelling help users understand Microsoft’s AI offerings faster, making the experience feel more approachable and less overwhelming.

Content structure

Information is presented in a more coherent and consistent way, helping users see how different AI capabilities relate to each other rather than as disconnected features.

Long-term scalability

The redesigned structure supports future AI expansion, allowing new capabilities to be added without increasing complexity or breaking the overall experience.

Why it matters

As Microsoft’s AI ecosystem continues to expand, clarity becomes a competitive advantage. This redesign enables users to understand, explore, and adopt AI solutions with less friction, supporting stronger long-term adoption rather than short-term discovery. By focusing on structure, intent, and scalability, the work establishes a foundation that can grow with the platform without reintroducing complexity. It reflects a design philosophy centered on reducing cognitive load, aligning experiences with real user needs, and treating clarity as a strategic asset, not a visual afterthought.