eGain (NASDAQ:EGAN) said its AI Knowledge business represented roughly two-thirds of its SaaS annual recurring revenue through the third quarter of fiscal 2026, with AI Knowledge ARR growing about 26% year over year, as the company targets enterprise demand for governed knowledge systems supporting AI automation.
Speaking at Oppenheimer’s 29th Annual Technology Conference, Chief Executive Officer Ashu Roy said businesses are increasingly finding that AI initiatives require reliable, governed and verified knowledge content to produce scalable results. He characterized customer service and customer operations as the company’s primary near-term market opportunity.
Focus on AI Knowledge Operations
Roy said companies often struggle to achieve scalable returns from AI investments because their policies, procedures, compliance requirements and other knowledge inputs are not adequately managed. eGain markets what it calls an AI Knowledge Ops approach, involving the ongoing sourcing, curation, publication, measurement and improvement of enterprise knowledge.
He said Gartner has adopted the AI Knowledge Ops terminology in its inaugural Magic Quadrant for customer service knowledge management systems, released in July. Roy said eGain’s platform provides enterprises with a governed system of record, traceability, compliance controls, security and integration capabilities.
The company serves large enterprises, particularly in compliance-intensive industries including financial services, insurance, healthcare and telecommunications. Roy cited JPMorgan Chase and Liberty Mutual among eGain’s customers.
According to Roy, eGain has deployed its platform to 125,000 users at JPMorgan Chase in the U.S., primarily within its consumer and community banking operations across six lines of business. He said the deployment was completed in six months, compared with an initial expectation of about one year.
Roy also highlighted customer results that he attributed to eGain’s tools, including more than $7 million in benefits at a large telecommunications customer serving more than 12,000 customer-service advisors. He said Specialized Bicycle Components reduced customer-service abandonment rates by nearly 50%, while Country Financial reported a 20% to 30% productivity improvement for agents and field-service personnel.
Enterprise Infrastructure Positioning
During a question-and-answer session, Roy said eGain competes with knowledge-management offerings bundled into contact-center-as-a-service and customer relationship management platforms. He said eGain’s differentiation is its broader AI enablement, granular governance and compliance controls, and enterprise-wide positioning.
“Most businesses are looking to now drive automation with agentic capabilities on top of the knowledge system,” Roy said. “Our knowledge platform provides a level of granular control and compliance capabilities, which are quite critical for these big enterprises.”
He added that while enterprises can develop agentic AI layers for specific workflows, managing and governing the information supplied to those layers remains the more difficult challenge.
eGain is expanding its go-to-market outreach beyond traditional customer-service buyers to include chief information officers, chief technology officers and heads of AI. The company also plans to pursue broader deployments within its existing customer base and cited upcoming product releases and customer events as components of its growth strategy.
Financial Position and Investment Plans
Chief Financial Officer Eric Smit said the company had not yet released results for the fiscal year ended June 30, 2026, and that the financial information presented was through the quarter ended March 31, 2026.
On a last-12-month basis through the third quarter, eGain reported approximately $92 million in total revenue, SaaS gross margin of 80%, adjusted EBITDA margin of 17%, and roughly $80 million in cash with no debt, according to management. Smit said AI Knowledge had increased from less than half of SaaS ARR three years earlier to about two-thirds by the end of the third quarter.
Smit said the company’s standard contracts are generally three-year agreements. eGain offers both seat-based pricing and outcome- or session-based pricing, and management expects usage-based revenue to become more relevant as customers use AI to reduce agent workloads.
Regarding revenue growth, Smit said ARR is a leading indicator and that revenue growth could increasingly align with AI Knowledge ARR growth as AI Knowledge becomes a larger share of the company’s overall business. He did not provide a timetable.
Roy said eGain’s near-term capital-allocation priority is to increase investment in go-to-market activities, including marketing, sales, brand building and field capacity. The company intends to maintain product-development investment with potentially modest increases, while continuing to evaluate inorganic opportunities. Smit added that eGain has repurchased shares in the past when management viewed the price as appropriate.
The company also discussed products announced at its London customer event. Roy said one category consists of platform add-ons designed to help customers automate knowledge management and monitor governance and system health. A second category includes more out-of-the-box agentic offerings, including a voice-channel AI agent, which he said would be priced based on outcomes.
About eGain (NASDAQ:EGAN)
eGain Incorporated (NASDAQ: EGAN) is a software company specializing in cloud-based customer engagement solutions. Its platform integrates knowledge management, analytics, and artificial intelligence to help organizations streamline customer service across digital channels. By centralizing information and automating routine interactions, eGain aims to improve agent productivity, reduce response times, and deliver consistent customer experiences.
The company’s product suite includes tools for knowledge authoring and delivery, AI-powered chatbots, case management, and predictive analytics.
