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Adam
Hardy
Sr VP, Commercial Operations and Sales Enablement
Eversana
Adam Hardy improves revenue performance in complex pharma services organisations by aligning commercial systems, pricing, forecasting, pipeline generation, and go to market execution into a coherent operating model. For over 17 years, he has worked across revenue operations and sales enablement, spanning pricing, proposals, CRM, and forecasting, aligning them into a single system that improves decision quality and drives measurable outcomes. At EVERSANA, Adam has led CRM and forecasting redesign, pricing governance, and enterprise scale bidding, contributing to multi million dollar business, a proposal success rate above 55 percent, and over 1 billion dollars in successful bids. He brings an end to end view of the pharma value chain, from research through market access and commercialisation, with leadership experience across EVERSANA, Medpace, and Syneos Health. His work increasingly centres on applying AI and automation to help leadership teams act with greater clarity and speed.
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03 December 2026 11:30 - 12:00
Your revenue engine is a system, not a set of parts
Marketing has its KPIs. Prospecting has its own. Sales carry a number, proposals get measured on turnaround and quality, and everyone works hard at hitting their piece of the board. So why does the machine as a whole still underperform? Adam Hardy has spent twenty years across commercial operations, revenue operations, and sales enablement, and has watched the same pattern repeat: organisations optimise the parts and assume the whole will follow. It does not. Revenue generation is a continuum, and the output you actually care about emerges from how the pieces interact, not from how well each one performs in isolation. In this session Adam borrows a lens from systems theory, a discipline most commercial teams never touch, and points it at the revenue engine. The interesting territory, he argues, is rarely inside a function. It is at the handoffs. The interfaces between marketing and prospecting, between proposals and sales, between CRM and everything downstream. This is deliberately not a case study. It is a perspective, offered as one, built on two decades of seeing what breaks and where. You are invited to disagree with it. And yes, AI does appear. Right at the end, and only once the frame is built, because the more useful question is not how to insert AI into a function but what it does to the behaviour of the whole system.