Atlas delivers more precise AI responses and integrates effortlessly with a greater number of enterprise systems.
Bottom line: Atlas delivers unmatched value.
When to Use Copilot
Copilot shines in personal productivity and everyday workflows:
Summarizing Teams conversations or report sections
Drafting or refining emails and structured documents
Creating quick first-pass summaries or meeting notes
Handling low-risk accuracy tasks efficiently
Use Copilot when speed and convenience matter most.
When to Use Atlas Fuse
Atlas Fuse is designed for enterprise-scale intelligence — giving teams control, accuracy, and governance. Use it when you need:
A cost-effective AI solution built for business content
Auto-tagging that integrates seamlessly with your term store
More accurate content retrieval with Atlas Hybrid Search and chat interface
SmartHub integration to include 3rd-party and contextual knowledge
Support for complex, high-value use cases:
Bid responses
Award & directory submissions
Due diligence questionnaires
Market and client research
Knowledge comparison, analysis, and summarization
Atlas Fuse doesn’t just respond — it understands your organization’s knowledge.
Why Atlas makes Copilot better
Most organisations that have invested in M365 Copilot are having to rearchitect their “knowledge foundations”. This is where Atlas customers have a big benefit.
First, because Atlas’ enterprise-wide consistent metadata enrichment improves the relevancy of Copilot results due to the ability to contextualise content. And second, it will soon be possible to consume Atlas Fuse knowledge collections for authoritative subject matter content via Copilot.
Atlas Fuse Differentiators
Atlas consistently provides more precise results in customer tests, across different industries and use cases
On a per user basis, Atlas Fuse is 85% cheaper than Copilot
You can choose a different LLM for each use case (knowledge collection/data set)
Atlas Fuse can be used in client-facing AI experiences in Atlas extranets
Atlas Fuse provides knowledge-centric governance and context, with grounding possible at meta-data level
Atlas Fuse enables auto-tagging capabilities based on your enterprise taxonomy
Atlas enables ranking of validated knowledge for Atlas Fuse grounding
External data sources can be added to knowledge collections
Copilot Gaps
Not a knowledge harvesting tool
Leverages information generically across full MS Graph
Requires firms to manage and structure their IA and taxonomy
No single governance approach across multiple copilots
No control of prioritized or validated knowledge
Separate copilot experiences
Does not enable rules for authoritative vs non-authoritative sources
External data sources are mainly connected as plug-ins
Lack of model control
Auto tagging needs to be purchased separately
Capability to index lengthy documents (100+pages) is unclear.
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