Generating Self-Service Knowledge Articles with Generative AI
An enterprise organization used Generative AI to automatically generate and maintain knowledge articles for its self-service portal. The solution reduced dependency on support teams, improved issue resolution speed, and enhanced user satisfaction - all while keeping content up to date at scale.
Challenge
The organization relied heavily on outsourced helpdesk and internal support teams for issue resolution, with limited adoption of its self-service portal. Existing knowledge articles were outdated, manually written, and difficult to maintain. Creating high-quality, consistent content at scale was time-consuming - resulting in inconsistent user experience and high support volumes for routine queries.
Solution
We implemented a Generative AI solution that analyzed historical support tickets and existing FAQs to identify common issues and generate knowledge articles in a consistent, easy-to-understand format. The system prioritized topics based on support volume and resolution patterns. Articles were published directly into the organization’s support platform (e.g. ServiceNow, Zendesk), ensuring seamless integration into existing workflows. Human-in-the-loop review ensured accuracy before publishing. An optional solution capability is to identify high-traffic or low-resolution topics and suggest potential updates based on recent ticket trends.
Impact
Increased Adoption of Self-Service Channels
Users found it easier to resolve issues independently, reducing ticket volumes and easing the load on support teams.
Faster Creation and Maintenance of Knowledge Content
AI-generated articles based on historical tickets significantly accelerated content creation and ensured relevance over time.
Enhanced User Satisfaction
Consistent, up-to-date knowledge articles empowered users to resolve issues confidently - improving overall experience and reducing frustration.
Industry
All Industries
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