As enterprises rapidly adopt agentic AI across go-to-market (GTM) functions, many are beginning to encounter a new challenge: scaling automation without fragmenting customer experience. This shift is explored in the newly published industry whitepaper “2026: In Pursuit of AI Methodology,” released by HardSkill Exchange, which examines how organizations are moving beyond isolated AI tools toward coordinated, context-aware agentic systems.
RevSure, an enterprise-grade full-funnel AI platform for B2B go-to-market teams, contributed insights to the whitepaper through its Founder & CEO, Deepinder Singh Dhingra. Drawing on experience building and deploying coordinated AI systems across marketing, sales, and customer success, Deepinder outlines both the risks and opportunities associated with large-scale agentic AI adoption.
“Agentic adoption will jump from dozens of tools to hundreds of agents acting across millions of contacts. The risk is runaway automation and incoherent customer experiences when agents do not share context or coordinate. The fix is stitching agents together through a unified semantic layer, context engineering, and business guardrails for brand, messaging, and ‘what good looks like.’ Coordinated AI beats more AI,” said Deepinder Singh Dhingra, Founder & CEO of RevSure.
In the whitepaper, Deepinder describes a coordinated AI framework in which interconnected agents operate across the full GTM funnel while sharing a common data foundation, semantic understanding, and governance layer. Rather than optimizing individual tasks in isolation, agents are aligned to shared revenue outcomes and adapt their actions based on end-to-end context across marketing, sales, and customer success.
This coordinated approach reflects how RevSure’s agentic AI platform is designed in practice. RevSure enables multiple AI agents to work together against a single source of truth for GTM data, with built-in guardrails for prioritization, messaging consistency, and execution quality. By grounding agent behavior in shared context and outcome-centric signals, revenue teams can scale automation without sacrificing alignment, predictability, or customer experience.
“2026: In Pursuit of AI Methodology” brings together perspectives from founders, operators, and technologists influencing the next phase of enterprise AI adoption, with a focus on context, governance, and practical frameworks for deploying agentic systems responsibly and at scale.
Read the full whitepaper here.
About RevSure
RevSure is the only enterprise-grade Revenue System of Action designed for complex B2B go-to-market operations. It unifies fragmented marketing, sales, and GTM operations data into coordinated, AI-driven actions that convert prospects into predictable revenue. Powered by Full-Funnel Agentic AI, RevSure connects data, workflows, and intelligence across the entire funnel, eliminating silos, streamlining execution, and deploying AI agents to maximize marketing impact, accelerate pipeline, and improve forecast confidence. Beyond insights, RevSure delivers automated next-best actions, enabling GTM teams to focus on high-impact execution. Customers have achieved up to 50% higher pipeline ROI and a 20% increase in conversion rate.