Request to partner

Request your invite

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Ben
Austen
Chief Data Officer
Find.co
Ben is a commercially astute senior leader specializing in Revenue Operations, with over 12 years of experience driving growth across GTM functions in both B2B and B2C environments. He has a proven ability to integrate sales, marketing, and customer success with finance and BI to build scalable growth engines. As Director of Revenue Operations at Find.co, a leading crypto publisher specializing in iGaming, Ben built the RevOps function from the ground up—implementing Salesforce, designing sales processes, and scaling the Ad Ops team. Previously at Social Value Portal, a B2B ESG/CSR SaaS company, he established the demand function and later transitioned into RevOps, doubling ICP MQLs through Salesforce process optimization and a strong focus on customer success. Earlier in his career, Ben spent five years at VC-backed EdTech innovator Avado Group, where he played a key role during a period of hyper-growth. As Sales & Marketing Director, he managed a Ā£20M P&L and a 50-person team before moving into a Group-wide Business Optimisation Director role supporting scaling and pre-transaction activities. Known for his authentic leadership and collaborative approach, Ben fosters inclusive, high-performing teams and believes that investing in people drives business success. He excels at bridging technical systems with commercial strategy, applying a data-led mindset to deliver measurable impact and sustainable growth.
Button
01 December 2026 10:15 - 10:45
The AI Ceiling: Where automation ends and human judgment drives revenue
AI is transforming revenue organisations from forecasting and pipeline management to pricing, customer intelligence and sales execution. But as automation becomes more sophisticated, a critical question emerges: where should AI make the decision, and where must human judgment remain in control? This session explores the AI ceiling in revenue leadership where more automation doesn’t necessarily mean better commercial outcomes. We’ll examine where AI can deliver speed, scale and insight, and where context, intuition, relationships and strategic judgment remain essential. For CROs, the challenge is no longer simply adopting AI, but creating a revenue organisation where AI and human judgment work together using machines for scale while keeping humans at the centre of high-stakes revenue decisions.