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Anjai
Lal
Former Strategy & Enablement Lead, Google Cloud
Anjai builds at the intersection of go-to-market and AI, turning strategy into shipped systems: AI native workflows, agents, and data products that rewire how teams sell, enable, and grow. He is now building Powerpunch. Previously, he led GTM Strategy and Operations at Google Cloud, VMware, and IBM. He holds a Yale MBA and is an IIT engineer.
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22 September 2026 09:00 - 09:15
Ice breaker and opening remarks
A welcome from the event emcee, setting the tone for a day focused on building, scaling, and modernizing the GTM engine.
22 September 2026 16:30 - 17:00
Closing activity and remarks
As GTM teams evolve faster than ever, one thing is clear - this isn’t just about tools or tactics. It’s about building smarter systems, using automation with intention, and designing revenue engines that can scale without breaking. In this closing session, we’ll reflect on the key themes from the day, highlight standout ideas, and look ahead at what’s next for GTM Engineers, RevOps leaders, and builders shaping the future of revenue.
22 September 2026 14:30 - 15:30
Workshop: AI GTM solutions lab
Put your GTM problem-solving skills to the test. In this hands-on workshop, you'll work with fellow attendees to tackle a real-world challenge - from fixing an unreliable forecast to generating more pipeline or redesigning an overloaded tech stack. Together, you'll design a new workflow, decide where AI and automation can have the biggest impact, and work out where human judgement still matters. You'll walk away with: - A framework for redesigning GTM workflows with AI - New approaches to common GTM challenges - Ideas and perspectives from fellow GTM leaders
22 September 2026 14:00 - 14:30
The value of an AI center of excellence
As AI adoption accelerates, the challenge for GTM leaders is shifting from finding interesting use cases to deciding which ones actually deserve investment, resources, and executive attention. In this fireside chat, Anjai and David will explore what it takes to build an operating model that turns AI experimentation into measurable business impact. They’ll unpack how organizations can identify and prioritize high-value use cases, create the right governance and decision-making structures, and balance questions around build vs. buy, agent roadmaps, resource allocation, and rapidly growing AI spend. The conversation will also examine the role of executive leadership and AI Centers of Excellence in keeping initiatives grounded in business priorities, alongside practical ways to measure impact through productivity gains, cost savings, hours saved, reduced tooling, and resources redirected toward higher-value work. Attendees will leave with a clearer framework for moving AI beyond isolated pilots and building a more disciplined, scalable approach to AI investment across the GTM organization.
23 September 2026 09:00 - 09:15
Opening remarks
A welcome back from the event emcee, setting the tone for another day focused on building, scaling, and modernizing the GTM engine.