eGain Releases Guide on Governing AI Agent Responses

<h2>eGain Releases Guide on Governing AI Agent Responses for 2026</h2> <p><strong>CUPERTINO, CA</strong> – eGain Corporation has published a guide in July 2026 addressing the governance of responses provided by AI agents in customer experience (CX). The release highlights that many enterprises face challenges with AI implementation, with Gartner predicting that over 40% of agentic AI projects may be canceled by the end of 2027 due to inadequate controls and unclear business value.</p> <p>The guide emphasizes that failures in AI agents are often connected to the knowledge base rather than the AI model itself. Traditional knowledge bases are not suited for the needs of AI agents, as they are designed for human users and may contain outdated or contradictory information. An AI agent lacks the same judgmental capabilities as a human when assessing information reliability.</p> <p>eGain's proposed "Trusted AI Knowledge Base" is built with the principle that knowledge itself needs to be governed. This system acts as a governed layer between the AI model and enterprise systems. It consolidates scattered content, resolves contradictions, applies stricter controls to procedural and compliance-critical knowledge, and continuously monitors for drift.</p> <p>The first step in ensuring knowledge governance is to identify what knowledge truly matters. This identification should be based on the most frequent questions customers and employees ask, gathered from call, chat, and support ticket data. Prioritization of questions can be based on their frequency, value to business or customer outcomes, and complexity of answering reliably at scale.</p> <p>The company advises organizations to prepare for AI-generated errors and inaccuracies by treating the knowledge base as a governed system rather than a static library. Further steps in the guide provide actionable plans for deepening knowledge management.</p>