In today's fast-paced digital world, organizations rely on well-structured knowledge bases to streamline support processes and improve information accessibility. However, managing and structuring these vast repositories—including support requests, knowledge articles, employee communications, and quick links—remains a daunting challenge. Traditionally, knowledge managers and support teams have spent countless hours categorizing content, refining taxonomies, and ensuring users can quickly find relevant information.
By harnessing the capabilities of Now Assist, TaxoGenie automates taxonomy generation, transforming how organizations manage and structure their support resources. This AI-driven solution eliminates the burden of manual categorization, significantly reducing time and effort while improving accessibility and consistency.
The sheer volume of knowledge articles, support requests, and employee communications in an organization grows exponentially over time. Manually categorizing, structuring, and organizing them into logical taxonomies is time-consuming, prone to inconsistencies, and often ineffective. Without a structured approach, teams struggle with:
TaxoGenie, built by INRY, is designed to automate and simplify taxonomy structuring by leveraging Now Assist. With a single click, it analyzes all available support resources—including requests, knowledge articles, and employee communications—and instantly generates a structured hierarchy. This ensures that information is well-organized and readily accessible across the organization.
TaxoGenie leverages Now Assist to automatically categorize support resources, creating a well-structured hierarchy of topics, subtopics, and content sections.
The app systematically structures support requests, quick links, and employee communications into predefined categories, eliminating the need for manual sorting and reducing errors in classification.
What used to take hours of manual effort is now accomplished in minutes. This automation frees up knowledge managers and support teams to focus on strategic initiatives.
While AI automates the initial structuring, users can review and refine the generated taxonomy before finalizing it, ensuring optimal accuracy and relevance.
A well-structured taxonomy ensures that employees and customers can quickly find the information they need, improving self-service experiences and reducing the workload on support teams.
Integrating AI-powered solutions like TaxoGenie marks a turning point in how organizations handle knowledge management. By eliminating manual efforts and ensuring consistent, intelligent structuring of support resources, businesses can create more efficient, user-friendly knowledge bases.
As AI continues to evolve, INRY remains committed to developing solutions that empower organizations to work smarter. TaxoGenie is just one example of how AI can enhance workflows, reduce complexity, and drive better knowledge management practices in the ServiceNow ecosystem.