AI Agents for Knowledge Management | Boost Productivity with USU

Knowledge AI agents rely on trusted knowledge

Knowledge AI agents do not work with uncontrolled data or generic AI outputs. They access governed, quality-assured knowledge that is structured, verified and kept up to date. This is what makes AI reliable in everyday service. Instead of guessing, AI agents rely on a defined knowledge foundation that determines what is correct, what is relevant and what may be shared with customers.

Built on this foundation, Knowledge AI agents support different roles across the knowledge lifecycle—from content creation and validation to real-time guidance for service agents and reliable self-service.

The editorial agent helps content teams structure, refine and optimize knowledge articles. Whether starting from scratch or polishing an existing document, it suggests clearer phrasing, eliminates redundancies and ensures a consistent tone and terminology.

It accelerates routine tasks such as drafting content, generating summaries and step-by-step instructions or translating articles into other languages. All suggestions follow your editorial guidelines and remain under editorial control.

The agent also identifies gaps, detects outdated content and highlights inconsistencies across the knowledge base. Instead of searching manually, editors receive concrete suggestions on what needs to be created, updated or refined. Editorial teams stay in control. They decide what is right and what is released.

The agent takes over repetitive work and helps keep the knowledge base current, consistent and ready for use.

The service co-pilot agent supports service agents directly in their daily work. It understands incoming requests, scans tickets and conversations and identifies the knowledge needed to respond.

Instead of searching manually, agents receive relevant answers in real time—directly in their workflow. The agent synthesizes content from the knowledge base and proposes the most suitable response for the situation.

Spelling, wording or phrasing do not matter. The service co-pilot agent understands intent and context and connects every question to the right knowledge.

This reduces handling time, lowers stress and helps agents stay focused on the customer.

The self-service agent provides customers with direct access to reliable answers.

It understands questions in natural language, regardless of wording, spelling or phrasing, and connects them to the right knowledge. Instead of browsing FAQs or navigating complex portals, customers receive clear answers in seconds.

The agent works on the same verified knowledge base used by service teams, ensuring that self-service follows the same rules and standards.

Every response is grounded in curated content. The self-service agent does not guess and does not invent. It retrieves and combines existing knowledge to provide answers that can be trusted. This makes self-service predictable and consistent.

Customers get fast help, and service teams can rely on the fact that automated answers reflect what the organization actually knows.