Author: Pavitra Paul

If you are a CMO, you already know the core objective: turn your go-to-market strategy into measurable revenue. Yet many teams still hesitate to adopt autonomous AI because of a recurring concern. Will the system lose context? Will it act without control? Will it create errors that are difficult to catch? These fears are valid.… Continue reading Why Human-in-the-Loop Is the New Non-Negotiable for Agentic AI Systems

If you are a CMO, you already know the objective: convert your go-to-market (GTM) strategy into measurable revenue. Yet GTM leaders today face a major architectural decision. Should your GTM engine depend on assisted intelligence acting as a copilot, or should it embrace bold Agentic AI and HITL frameworks that operate as accountable systems? The… Continue reading Autonomous vs Assisted GTM: What Leaders Need to Know

If you lead a GTM team, you already know the pressure. You design thoughtful strategies, invest across the stack, and still face the recurring gap between intention and real revenue. Budgets grow, but predictability does not. This gap is not about ambition or talent. It appears because most GTM systems split strategy from execution. Leaders… Continue reading Human Strategy + Agentic AI Execution: The New GTM Equation

If you are a CMO, you already know the real mandate: turn every go-to-market (GTM) investment into measurable revenue. Yet despite rising technology spend, many leaders still face the same question: Why does having more tools create less clarity about what actually drives revenue? The problem is not the ambition behind AI. It is the… Continue reading Agentic AI Misconceptions Holding GTM Back

If you are a CMO, you already know the mandate that defines your success: convert every GTM investment into measurable revenue. Yet many leaders are still battling the same dilemma. There are more tools, more dashboards, and more automation than ever, but far less clarity on which actions actually move revenue forward. The reason is… Continue reading From Copilots to Agentic AI Engineers: The Next Generation of AI Agents

AI is becoming more capable, yet most GTM teams still experience the same issue. Their systems act, but they do not understand. Actions fire, but context is missing. Plays run, but they lack depth. As a result, leaders see more motion but rarely see improvement in execution quality. This gap exists because many organizations try… Continue reading Context Is the New Code: Feeding AI Agents the Right GTM Memory

The promise of Agentic AI in GTM is obvious. Leaders want execution that moves with speed, precision, and context. Yet most teams quickly find that their carefully built sequences and workflows are unusable by autonomous systems. The playbooks were written for humans, not for AI. The result is predictable. Activity increases, outcomes stall, and the… Continue reading Designing Playbooks Agentic AI Agents Can Actually Run

GTM leaders are excited about the promise of agentic AI, yet many are discovering the same frustration that surrounded early martech tools. More software, more data, more automation, yet less clarity about what moves revenue forward. The danger is rising quickly because many teams are deploying AI inside stacks that were never prepared for actual… Continue reading Why 40% of Agentic AI Projects Will Fail and How GTM Leaders Can Avoid It

Modern GTM teams are under pressure to show how every investment ties back to revenue. Yet the more tools leaders add to their stack, the harder it becomes to pinpoint what actually moved a deal forward. The market is full of products claiming to be “AI agents,” but most simply rebadge familiar automation. This creates… Continue reading Agentic AI, But Make It Accountable: Avoiding the AI Agent Washing Trap

At some point in growth, every revenue leader asks the same question. “If we have more tools, more data, and more people, why does it feel harder to grow, not easier?” Early on, a lean GTM setup feels sharp. One CRM, one automation tool, a few enrichment sources, maybe a chat widget. Then headcount rises.… Continue reading Why GTM Stacks Break at Scale