eGain Corporation

eGain Corporation reported fiscal 2026 results on September 3 showing total revenue up 3% to $91.1 million, with AI customer revenue growing 20% as the company pivots away from its legacy business. In July, Gartner named eGain a leader in its first Magic Quadrant for customer service knowledge management systems, positioning it highest for ability to execute and furthest for completeness of vision. New logo wins rose 27% year over year, and pipeline opportunities worth $500,000 or more in annual recurring revenue doubled in count. Adjusted EBITDA climbed to $13.6 million, a 15% margin versus 10% in fiscal 2025, while operating cash flow hit a record $21.2 million and cash on hand grew to $73.3 million from $62.9 million. Management targets AI customer ARR of $100 million to $120 million by fiscal 2030, up from $54 million in fiscal 2026, but expects legacy non-AI ARR to decline 60% in fiscal 2027 and guides fiscal 2027 total revenue to $84.5 million to $86 million with adjusted EBITDA margin of just 1% to 2%.

eGain Corporation, named a leader in Gartner's first Magic Quadrant for customer service knowledge management systems, introduced a long-term financial model targeting AI customer ARR of $100 million to $120 million by fiscal 2030. In its fiscal fourth quarter, total revenue declined to $22.2 million, reflecting lower legacy revenue, while AI customer revenue grew 20% year-over-year and represented 72% of total SaaS ARR at year-end. Adjusted EBITDA increased to $13.6 million for the full year, with cash provided by operating activities reaching a record $21.2 million; quarterly adjusted EBITDA was $2.2 million, representing a 10% margin. The company guided fiscal 2027 AI customer revenue between $59.5 million and $60.5 million and total revenue between $84.5 million and $86 million, expecting a 20% decline in legacy revenue. Management also repurchased 1.4 million shares for $10.1 million during the quarter.

eGain Corporation has been named a Leader in the inaugural Gartner Magic Quadrant for Knowledge Management Systems for Customer Service. The evaluation establishes knowledge management for customer service as a distinct infrastructure software category, with eGain recognized as a leader. The company's AI Knowledge Hub centralizes content governance, role-based personalization, and granular auditability, using its AI KnowledgeOps framework to capture, curate, verify, and deliver knowledge. eGain's platform grounds AI-powered conversations in approved content with continuous evaluation, source citations, and guardrails to keep automated answers accurate and compliant. Chairman and CEO Ashu Roy said trusted knowledge matters more than ever for customer service automation in the age of AI.

eGain hat den eGain AI Agent for Zoom Contact Center vorgestellt. Die Lösung stellt vertrauenswürdige, KI-gestützte Antworten und Funktionen direkt in der Zoom-Plattform bereit und gibt Contact-Center-Mitarbeitern Zugriff auf geprüfte Antworten aus einer zentralen, governance-gestützten Wissensquelle. Der Agent analysiert Kundengespräche in Echtzeit, erkennt automatisch das Kundenanliegen und stellt passende Antworten sowie Next-Best-Action-Empfehlungen bereit, noch bevor der Mitarbeiter suchen muss. Für regulierte Branchen nutzt er Case-Based Reasoning, um Schritt-für-Schritt-Anleitungen auf Basis unternehmenseigener Richtlinien zu liefern und einen nachvollziehbaren Audit-Trail zu erzeugen. Die Integration ist Teil des wachsenden Portfolios an Contact-Center-Connectors von eGain, das bereits Amazon Connect, Genesys und Talkdesk umfasst, und ist im Zoom App Marketplace erhältlich.

eGain and Deloitte have published a joint report warning that the mass retirement of baby boomers over the next four years could trigger between $6.9 trillion and $9.6 trillion in lost productivity as institutional knowledge walks out the door. The study, titled "The $9 Trillion Knowledge Exodus," finds that 92% of surveyed organizations lack an effective system to capture the expertise of departing employees, even though 85% of C-suite leaders view the knowledge drain as a moderate to critical threat. The report proposes a five-step framework for systematically securing organizational knowledge, including consolidating fragmented knowledge silos, using AI-driven interaction analytics to prioritize high-impact content, and embedding knowledge capture into daily workflows. It also highlights real-world results, such as a major European telecom improving first-contact resolution by 37% and boosting its Net Promoter Score by 30 points after unifying knowledge across 10,000 contact center agents and 600 retail locations.