Capture valuable content and expertise from Microsoft 365 and connected enterprise systems, reducing dependence on employees manually publishing or moving information into separate knowledge repositories.
Enterprise knowledge changes every day. New content is created, projects evolve, policies are updated and once-authoritative information becomes outdated.
Relying on employees to manually tag, classify, review and maintain all that knowledge doesn't scale.
AtlasFuse automates knowledge management across Microsoft 365 and connected enterprise systems — continuously capturing, enriching, classifying and governing knowledge so it remains useful, trusted and ready for people and AI.
Capture valuable content and expertise from Microsoft 365 and connected enterprise systems, reducing dependence on employees manually publishing or moving information into separate knowledge repositories.
Apply structured metadata, taxonomies and contextual classification to improve findability, relevance and reuse, without relying on users to tag everything manually.
Enrich knowledge with context about clients, matters, projects, products, processes, topics, people and other business entities so people and AI can better understand what information means and how it relates.
Assign subject-matter owners, create approval and validation workflows, and trigger automated review processes so important knowledge has clear accountability.
Automatically identify content that needs attention and trigger review or retirement workflows, helping prevent outdated knowledge from remaining active indefinitely.
Track contribution, ownership, quality, usage, age and lifecycle status to understand where knowledge is healthy, and where intervention is needed.
Most organizations don't have a shortage of information. They have a knowledge quality problem.
Important content accumulates across SharePoint, Teams and other enterprise systems. Employees organize it differently. Metadata becomes inconsistent. Ownership changes. Documents become outdated while remaining searchable.
Over time, people — and increasingly AI — have difficulty distinguishing authoritative knowledge from everything else.
Traditional KM attempts to solve this through more manual publishing, tagging and administration. But at enterprise scale, that creates another bottleneck.
AtlasFuse takes a different approach: automate knowledge management around the systems and workflows people already use.
This turns knowledge management from a periodic clean-up exercise into a continuous, governed business process.
Create more current, authoritative and reusable enterprise knowledge through continuous enrichment, validation and governance.
Automate repetitive classification, enrichment, review and lifecycle activities instead of relying on employees and KM teams to perform them manually.
Identify knowledge requiring review, validation or retirement so outdated and poorly governed content doesn't remain active indefinitely.
Improve metadata, context and knowledge quality so enterprise search, Copilot, AI assistants and agents have better knowledge to work with.
Create accountability by assigning owners and triggering automated validation and review processes.
Make trusted knowledge easier to discover and reuse across teams, projects, clients and the wider organization.
Knowledge management shouldn't operate as a separate destination employees have to remember to maintain.
AtlasFuse creates a reusable knowledge layer across your existing enterprise information, continuously enriching and governing knowledge where it lives.
That same trusted knowledge foundation can then support:
Improve knowledge once. Make it more valuable everywhere.
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Knowledge management automation uses technology to automate repetitive processes involved in capturing, organizing, enriching, governing, reviewing and maintaining organizational knowledge. Instead of relying on employees to manually tag, classify and maintain information, automation can apply metadata, trigger workflows, assign ownership and manage lifecycle processes as part of everyday work.
AtlasFuse automates knowledge processes across Microsoft 365 and connected enterprise systems. It can support knowledge capture, metadata enrichment, classification, contextualization, ownership, validation, review and lifecycle management. This allows organizations to improve knowledge quality continuously without creating another repository employees must manually maintain.
Yes. AtlasFuse can apply structured metadata, taxonomies and contextual classification to enterprise content, reducing reliance on manual tagging. Knowledge can also be enriched with business context around entities such as clients, matters, projects, products, topics, processes and people, making it easier to discover and reuse.
AtlasFuse can support the processes organizations use to establish authoritative knowledge through metadata, grading of content, ownership, validation, governance and lifecycle controls.
Yes. AtlasFuse can use and extend organizational taxonomies, metadata models, and information architecture across Microsoft 365 and connected knowledge experiences.
Yes. AtlasFuse can support automated workflows for validation, review and retirement, helping organizations identify knowledge that needs attention and maintain content throughout its lifecycle.
Knowledge management and information teams benefit from reduced manual administration and stronger governance, while employees benefit from easier access to trusted knowledge. The same improvements also create better-quality knowledge for search, Copilot, AI assistants and agents.