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[Series A Track] AI-Driven GTM at Series A: What's Working, What's Risky, and How to Deploy Without Losing Control
SERIES A TRACK · THURSDAY SERIES — Series A to B Control
At Series A, AI in your GTM isn't a competitive advantage anymore — it's table stakes. The question isn't whether to deploy it. It's how to deploy it without creating the kind of operational chaos that shows up in your metrics six months later.
About this event
The AI GTM conversation looks different at Series A than it does at seed. You're not experimenting anymore — or you shouldn't be. You have a motion that works, a team running it, and a board watching the efficiency metrics. The question isn't whether to add AI to your GTM stack. It's how to do it in a way that makes your existing motion more efficient without disrupting the consistency that got you here, and without creating a layer of automation that your team doesn't fully understand and can't troubleshoot when it breaks.
The risk at Series A is specific. You have enough scale that a poorly deployed AI motion can do real damage — to your brand, to your pipeline quality, to the buyer relationships your sales team has spent 18 months building. The founders who are getting this right aren't the ones who moved fastest. They're the ones who were most deliberate — who identified the highest-leverage insertion points for AI, deployed in those places with clear success criteria, and built the human oversight layer that keeps the system honest as it scales.
This session is built around what that looks like in practice — with a guest who is currently running an AI-augmented GTM motion at Series A scale and can show you the architecture, the results, and the mistakes they made before they got it right.
We'll cover:
The highest-leverage AI insertion points in a Series A GTM motion — where the efficiency gains are real and where the risks are highest
How to deploy AI in a way that augments your sales team rather than creating friction with the buyers they're trying to close
The oversight and feedback loop architecture that keeps an AI-driven GTM motion honest at scale — and what breaks when you don't have it
What Series B investors think when they see AI deeply embedded in a GTM motion — the questions they ask and what they're actually trying to understand about your defensibility
Then we open the floor. Bring your current AI GTM stack, your deployment questions, or your concerns about what you're building — the Q&A is live and unfiltered.
Your guest
[Guest TBD — confirmed 5 days before the event.] This session features a Series A CEO or CRO currently running an AI-augmented GTM motion at scale — with real data on what changed in their efficiency metrics, what they'd do differently in the deployment sequence, and how they're thinking about AI as a defensibility layer rather than just a cost reduction tool.
Format: 25-min conversation · 15-min live Q&A
Who this is for: B2B SaaS and AI CEOs post-Series A between $5M–$25M ARR who are ready to move beyond AI experimentation and want a practical, specific framework for deploying it in their GTM motion without losing the consistency and quality that their current numbers depend on.
YOUR HOST
Yannick Kpodar is a 2x VP/CMO turned General Partner at Aventra Capital and founder of Full Stack CEO™. Over 15+ years, he's helped B2B SaaS teams raise $396M+, reach unicorn valuation, and scale from single-digit ARR to $45M+ across the US and Europe — at companies including LinkedIn, PayFit, and Amenitiz. He now builds operating systems that give founders investor-grade control over GTM, metrics, and capital without burning themselves or their teams.
ABOUT FULL STACK CEO™
Full Stack CEO™ is the operating system for B2B SaaS & AI founders from first revenue to $25M ARR — GTM, metrics, capital, and leadership built for the age of AI. The community, Labs, and advisory are built around one idea: that the founders who win are the ones who can read the whole system, not just the function they grew up in.
Members get direct access to a room of serious peers, weekly working sessions with Yannick, and live AMAs with the operators, exited founders, and VCs behind the program.
Free weekly events run three times a week across three stage-specific tracks: Pre-Seed (Tuesdays), Seed (Wednesdays), and Series A (Thursdays) — each with guests matched to what founders at that stage are actually dealing with.