The AI revolution is actively reshaping technology economics. While AI adoption accelerated in 2025, many organizations struggled to scale proven capabilities and demonstrate ROI. This exposed the "AI Value Paradox," where AI makes products exponentially more valuable through automation while simultaneously vaporizing traditional per-user pricing models. The future of profitable growth lies in delivering business outcomes through a service-intensive model—heralding the "Services Era". Support Services is now the strategic core for winning this new game, transforming from a cost center to an engine of growth. This webinar focuses on the three persistent themes defining the strategic agenda for support leaders. • Optimizing the Support Business Model: The primary challenge is surviving the "AI Value Paradox". Support is often treated as "false free" within a subscription, preventing it from monetizing its value and securing funding as a strategic "engine of growth". • Scaling Support Operations: The focus shifts from adopting AI to mastering the "last mile" of integration. This requires overcoming messy data, legacy systems, and maturing Knowledge Management (KM) to enable proactive and predictive support. • Service Delivery Excellence: The definition of "great" has evolved beyond traditional KPIs. Organizations must transition to agile "intelligent swarming" and build an unbreakable "Product-Support Bridge" to resolve complex issues on first contact. The webinar provides actionable insights using key TSIA frameworks—Monetizing Support Services, The Product-Support Bridge, and KM Maturity 3.0—to help leaders re-charter support as an engine of growth, scale AI effectively, and master complex service delivery. • Reimagine Your Business Model and Monetize Support Value: Evolve support from a cost center to a strategic "engine of growth." Attendees will learn to design tiered, value-added subscription services using the Monetizing Support Services framework to protect and expand Annual Recurring Revenue (ARR). • Establish the Knowledge Management (KM) Foundation for AI Readiness: Prioritize and mature the KM program as the foundational AI Readiness & Governance Services (ARGS) capability. An optimized KM program is a prerequisite for accurate AI models and the robust data strategy needed for proactive support. • Build an Unbreakable Product-Support Bridge: Reduce complex cases and improve product quality by implementing the Product-Support Bridge Framework. This creates a data-driven partnership with Product Engineering, embeds serviceability from day one, and reduces the influx of complex incidents. Join us to understand the State of Support Services 2026 and how the AI Value Paradox is reshaping business. This webinar provides the strategic playbook to transform Support into a growth engine, master AI-era capabilities, and successfully win the new Services Era.