Microsoft 365 Copilot gets speed boost and UI redesign

๐กUX refinements in Copilot directly impact enterprise productivity and how users interact with LLMs in the workplace.
โก 30-Second TL;DR
What Changed
Loading speeds are claimed to be twice as fast as the previous version
Why It Matters
These UX improvements lower the friction for enterprise users, likely increasing daily active usage of Copilot in productivity workflows.
What To Do Next
Update your internal Copilot usage guidelines to leverage the new inline formatting tools for more structured prompt engineering.
Key Points
- โขLoading speeds are claimed to be twice as fast as the previous version
- โขNew 'progressive disclosure' UI hides complex controls until needed
- โขUsers can now format text directly within the prompt box
๐ง Deep Insight
Web-grounded analysis with 28 cited sources.
๐ Enhanced Key Takeaways
- โขThe updated user interface transforms the static prompt box into a "task-aware workspace" within the Copilot app, offering more room for user input and dynamically surfacing relevant tools and controls as needed.
- โขMicrosoft has introduced a single, flexible entry point for Copilot across all Microsoft 365 applications, aiming to establish a more connected and adaptive system that suggests relevant actions based on the user's current context.
- โขCopilot now dynamically selects the most appropriate AI model, such as GPT-5.5 Instant or GPT-5.5 Thinking, based on the user's intent, providing options for quick responses or deeper reasoning without requiring manual model selection.
- โขThe redesign is part of a broader "AI-forward" design system by Microsoft, which seeks to make Copilot feel less intrusive and more seamlessly integrated into daily workflows, addressing previous user feedback regarding floating controls.
- โขThe mobile version of the Microsoft 365 Copilot app has also received a refreshed, chat-first design, which includes enhanced support for text formatting in prompts and a new layout for easier viewing, copying, and referencing of chat responses with citations.
๐ Competitor Analysisโธ Show
| Feature/Category | Microsoft 365 Copilot | Google Gemini for Workspace | Salesforce Einstein Copilot |
|---|---|---|---|
| Core Functionality | AI assistant integrated into Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, Teams) for summarization, content generation, data analysis, and contextual assistance. Leverages Microsoft Graph for organizational data. | AI assistant integrated into Google Workspace (Gmail, Docs, Sheets, Calendar, Drive) with multimodal capabilities, Deep Research, and real-time web access. | AI for CRM, offering predictive scoring, conversation intelligence, and lead scoring within Sales Cloud and Service Cloud. |
| Underlying AI Models | Powered by OpenAI's GPT-4, GPT-5 series, GPT-4o, and newer GPT-5.5 Instant/Thinking models, utilizing Microsoft's Prometheus model. | Utilizes Google's Gemini multimodal AI models. | Leverages Salesforce's proprietary AI models. |
| Pricing (per user/month) | $30 (annual add-on to qualifying M365 license); SMB promotional pricing $18-$21. | Gemini Advanced: $20. Gemini AI features included in Google Workspace Business/Enterprise plans as of March 17, 2025. Google Workspace plans range from $7-$22 (annual). | Part of Einstein 1 editions ($500 list price) or $75 add-on to Enterprise/Unlimited Editions, requiring underlying Salesforce CRM license (e.g., Sales Cloud starts at $25). |
| Performance/Benchmarks | Up to 353% ROI over three years for SMBs; average savings of 9 hours per user/month; 70% of users report higher daily productivity. | Stronger for creative work and multimodal input. | Focuses on CRM intelligence and sales/service productivity. |
๐ ๏ธ Technical Deep Dive
- Copilot's architecture is composed of three primary components: the user interface, the large language model (LLM), and Microsoft Graph.
- The LLM engine is powered by OpenAI's GPT models, including GPT-4, GPT-5 series, GPT-4o, and the newer GPT-5.5 Instant and GPT-5.5 Thinking models, with Microsoft operating a dedicated, inaccessible instance.
- Microsoft Graph acts as a crucial gateway to organizational data from sources such as SharePoint, OneDrive, Teams, and Exchange, providing the LLM with essential context for personalized and relevant responses.
- The "progressive disclosure" user interface and "task-aware workspace" are design optimizations specifically implemented to reduce interaction friction, perceived latency, and cognitive load for users.
- Copilot leverages the Microsoft Prometheus model, which is built upon OpenAI's foundational large language models and has been fine-tuned using both supervised and reinforcement learning techniques.
- An intelligence layer known as "Work IQ" draws from user emails, files, chats, and meetings to tailor responses and dynamically adjust to the required depth of work, including the capability to choose between different AI models.
๐ฎ Future ImplicationsAI analysis grounded in cited sources
โณ Timeline
๐ Sources (28)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
- microsoft.com
- microsoft.com
- youtube.com
- microsoft.com
- windowsforum.com
- microsoft.com
- issarice.com
- intuitionlabs.ai
- wikipedia.org
- zenity.io
- microsoft.com
- plainconcepts.com
- microsoft.com
- vellum.ai
- worklytics.co
- google.com
- upperedge.com
- cloudradix.com
- dench.com
- microsoft.com
- copilot-experts.com
- checkthat.ai
- gosearch.ai
- appxite.com
- eesel.ai
- name.com
- cloudrevolution.com
- letsdatascience.com
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Original source: The Verge โ



