Agentic AI and the Evolution of SaaS: What’s Changing and What’s Next
Closed-Door Roundtable | Hosted by Wisdom Tree & Google Cloud | June 20 | ITC Gardenia, Bengaluru
This private roundtable convened early-stage AI founders, infrastructure operators, and venture investors for a focused dialogue on the current state and future trajectory of agentic AI and SaaS. The session featured leading practitioners and builders from Crest AI, Karbon Business, Nurix, Gnani.ai, GPUNET, Saara Inc, Segwise, Scribble Data, and top VC firms including 3one4 Capital, Eight Roads, Stellaris Venture Partners, and Elev8 Venture Partners.
Conversations centered on what’s actively being deployed in the field, with an emphasis on moving beyond conceptual frameworks to real-world impact.
Five Key Insights from the Session
Agents as Product Interfaces
Autonomous agents are now the primary interface in SaaS, moving far beyond traditional assistants. Founders are architecting products around agent-driven decision-making and automation, with practical examples in supply chain management, financial auditing, and workflow optimization.
Infrastructure as Competitive Advantage
Durable infrastructure drives the scalability of agentic systems. Innovations in voice agents, multilingual speech recognition, and distributed compute architectures are shaping the AI ecosystem. Operators are solving for real-world reliability at massive concurrent workloads.
Workflow Ownership as Moat
The depth of workflow integration distinguishes leading products. Solutions embedded deeply in vertical workflows — such as pension management, insurance, and enterprise decisioning — establish trust and create defensible positions.
Global Scaling: Latency, Language, Regulation
Expanding globally means rethinking not only technical performance but also compliance, cultural adaptation, and localization. Builders are designing augmentation layers and custom models to address diverse regulatory, linguistic, and market-specific challenges.
Co-Designing Products with End Users
Enterprise adoption is driven by continuous co-design and direct engagement with end users. Success stories reflect ongoing dialogue between product teams and customers, resulting in solutions tailored to accuracy, latency, and trust requirements.