The long version
I'm Agnishwar. Most people call me AB.
I've spent over a decade on both sides of B2B SaaS revenue, vendor and user. I closed $5M+ across 100+ enterprise deals, selling compliance and legaltech SaaS to CXOs and the kind of multi-stakeholder buying committees that treat a signature like a hostage negotiation, at companies like Unilever, Siemens, Tata Group, Mahindra Group, Vodafone, P&G, L&T, and Brookfield. Then I built the GTM engine from the inside: product positioning, competitive battlecards, and enablement that lifted competitive win rate by 40% and supported $5M+ in new ARR at CleverTap. Very few people have sat on both sides of that table, carrying the number and building the system that helps others carry it.
Over the past six to seven months I've been rebuilding how I operate, using AI as a core operating layer for revenue and GTM work rather than a productivity add-on you bolt on and forget. That has meant going deep on agentic workflow design, prompt architecture, and tool orchestration across Claude (Projects and Cowork), ChatGPT, and Gemini, instead of staying at the level of politely asking a chatbot for help.
The point isn't the tooling. It's the combination: quota-carrying sales instinct, GTM systems fluency built from the inside, and AI-native build capability most operators in sales or marketing simply don't have. It's the difference between someone who can describe what AI should do for a revenue team and someone who has built it, shipped it, and measured what it changed.