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Varshaa
Pallaath
Global Director, Customer & Partner Marketing
ConnectWise
Varshaa Pallaath is the Global Director of Customer & Partner Marketing at ConnectWise, where he leads go-to-market initiatives across product marketing, lifecycle, and partner marketing. His work focuses on building repeatable growth motions that drive adoption, expansion, and long-term customer value in complex B2B SaaS environments. With over 15 years of experience leading go-to-market teams across EMEA, AMER, and APAC, Varshaa has built his career at the intersection of sales and marketing. A former quota-carrying sales leader, he has built and led SDR and AE teams and worked closely with revenue teams to turn marketing activity into pipeline. He now brings that commercial perspective into marketing, with a focus on clarity, execution, and measurable impact. Varshaa focuses on using AI to reduce back-office work so teams can invest more time in the moments that really matter. His experience spans global technology companies such as Microsoft and Apple, as well as high-growth B2B SaaS scale-ups. He holds a Bachelor of Engineering (Honours) and a Bachelor of Commerce from University of New South Wales and is now based in the Netherlands, where he leads global go-to-market teams from EMEA.
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27 May 2026 10:15 - 10:45
From AI mandate to AI maturity: Lessons from the messy middle
Most marketing teams have been told to “use AI.” The real challenge starts after they do. Beyond prompts and pilots, CMOs face a harder question: is AI making the organisation genuinely smarter, or just faster? This session moves past tool hype to explore the operating layer behind successful AI adoption. Drawing on real-world experimentation and team adoption lessons, Varshaa Pallaath shares a practical framework for turning scattered AI activity into scalable organisational capability. From signal to synthesis, workflows to agentic systems, the session unpacks what it takes to build AI into the way marketing actually works: grounded in data, tested processes, ownership, and human judgment. Key takeaways: - Why “use AI more” is not a strategy - How to spot the missing context in AI outputs that sound right but miss customer, product, or sales reality - Why challenging AI matters more than simply using it - How to separate repeatable capability from impressive demos - Why AI workflows need testing, ownership, and human judgment built in