#31: Building an AI Data Engineer for Lifecycle Marketers - What Can an AI Data Agent Actually Do for Lifecycle Marketing - Ishan Rakshit (Co-founder @ Sortment | Forbes 30u30)

This episode explores how AI data agents promise to unlock speed, autonomy, and strategic clarity that lifecycle marketing teams have been waiting for — by removing their biggest blocker: access to usable, contextual data.Through a conversation with Ishan Rakshit (Co-founder @ Sortment), we dive into how AI is shifting from being a creative assistant to becoming a deeply integrated data teammate — helping CRM teams move from ticket requests to instant, insight-driven execution.I honestly feel this is one of the most insightful episode of my podcast so far. Some of the key topics we discussed here: Why does personalization still feel broken in 2025?: A honest look at why lifecycle marketing hasn’t evolved fast enough — and what’s kept us stuck.How AI is changing the way CRM professionals think — not just how fast they move. What are the AI native use-cases for lifecycle marketers?: Things that weren't possible until we had this technology. AI enables teams to ask more questions, explore more strategies, and think out loud without friction.What can an AI data agent actually do?: Real examples: from asking vague brainstorming prompts to deploying live segments into your ESP — in minutes, not weeks.Why the future marketing tech stack will be built around your data warehouse — not your ESP": A must-hear for Heads of CRM and Growth Leaders thinking about the next 12–24 months of their CRM & Martech tooling."How to get your team (and data team) ready for AI-first workflows": Tangible advice on change management, adoption blockers, and the mindset shifts required to truly benefit from AI tools.You can check out Sortment here.