Content chaos costs organizations an estimated $31 billion annually, and it’s easy to see why: according to IDC, knowledge workers spend 30% of their workday just searching for information. Traditional KM approaches only compound the problem, demanding heavy manual effort to source, create, curate, and maintain knowledge. For contact centers, support teams, and functions like HR, this burden has been a persistent drag on productivity and ROI.
Enter Knowledge Automation: the AI-powered evolution of KM that eliminates manual drag and delivers business value at speed and scale.
Discover the knowledge you need: Most organizations sit on massive content repositories, but we’ve found that 90% of knowledge ROI typically comes from just 10% of content. Knowledge Automation uses AI to analyze customer and employee conversations, automatically identifying the knowledge that truly matters; replacing weeks of manual auditing with data-driven prioritization.
From content chaos to content clarity: Duplicate articles, conflicting answers, and outdated procedures are hallmarks of manually maintained repositories. AI-powered knowledge curation identifies and eliminates redundancies and conflicts at scale, accomplishing in hours what previously took knowledge managers months.
Creation at the speed of AI: Content creation has traditionally been the biggest KM bottleneck. With Knowledge Automation, trusted enterprise content is created automatically, with AI ensuring adherence to templates and style guides. That knowledge is then routed to a knowledge expert for compliance checking.
Compliance without complexity: For regulated industries, Knowledge Automation uses deterministic reasoning to convert compliance-heavy procedures into guided workflows that ensure that workflows complete all the necessary steps and processes to meet regulatory requirements and maximize customer success.
Continuous optimization on autopilot: Knowledge degrades as products change and policies update. Knowledge Automation ensures that taxonomy updates, content organization, and metadata generation happen continuously and automatically, keeping the knowledge base fresh without constant manual intervention.
Why it matters now: Enterprise AI deployments are only as good as the knowledge that feeds them. Knowledge Managers relying on manual KM processes will find themselves unable to keep pace with the demands of AI-powered customer engagement. Knowledge Automation provides the solution—a continuously optimized, trusted knowledge layer powering both human agents and AI.
eGain
1252 Borregas Avenue
Sunnyvale, CA 94089
Phone: 408.636.4500 | Email: info@egain.com | Web: www.egain.com
Special Advertising Section