Rebuilding the Revenue Engine: AI-Driven Systems for Sales, Success, and Ops
Exploring The Most Recent AI-Driven Workflow Automation Systems Are Equipping Revenue, Success, and Ops Teams with System to Move Faster, Stay Aligned, and Scale Smarter in an Era of Distributed Teams and Evolving Buyer Expectations.
Description
In today’s fast-moving markets, go-to-market success isn’t just about selling—it’s about orchestrating revenue, customer success, and operations in sync. AI-powered systems are redefining how these teams work together—making it easier to align fast, act on real-time insights, and deliver results at scale. This panel brings together the founders behind the newest Go-To-Market enablement platforms—systems built to solve the everyday pain points of sales, success, and RevOps teams. We’ll break down what’s no longer working in traditional Go-To-Market motions, how the best teams are evolving with automation and AI, and what it takes to build a responsive, scalable growth engine in 2025 and beyond.
Background
In today’s B2B software market, selling a product isn’t just about closing deals—it’s about coordinating across sales, customer success, and operations teams to work as one. But traditional go-to-market (GTM) systems often fall short. Many companies still rely on outdated tools and siloed teams, even though the way businesses buy software has changed. Buyers now expect faster, more personalized ex…
Date: 2025-08-14
Time (ET): 4:00 PM EDT, Aug 14, 2025
Time (Local): 8:00 PM UTC, Aug 14, 2025
Location: online
Speakers
Ilkka Vertanen
Founder, GTM Club
Paul Sullivan
Arise GTM, CEO, Author & Chief GTM Officer
Guatam Rishi
Co-founder & CEO, OneShot
Kimberly Bryant
Associate Client Partner, Korn Ferry
Guided Questions
Ilkka Vertanen
Given your work at GTM Club leading GTM functions across high-growth B2B organizations, how do you see AI-driven tools reshaping the structure and rhythm of modern revenue teams? Are there specific elements of traditional sales playbooks that you believe AI should replace, or should not replace, as we strive for more aligned, systematized growth in today’s market?
Paul Sullivan
Given your background in both strategic and technical leadership, in early-stage and growth companies, where do leaders most often go wrong in integrating AI into their revenue engine, and what mindset shifts are required to get it right? How do you see automation enhancing—or complicating—the strategic clarity and cross-functional alignment your framework emphasizes?
Guatam Rishi
Given your deep understanding of both traditional sales execution and AI augmentation, how do you see AI-driven systems reshaping the core structure of sales teams today? More specifically, what parts of the sales process can be fully automated without sacrificing quality—and where do you think human expertise still plays a critical role in scaling efficiently?
Kimberly Bryant
Given your experience leading enterprise-wide sales transformations across sectors, how should companies think about balancing tech-driven automation with the human and organizational elements of change management? What are the most common pitfalls you see when large organizations try to integrate AI into sales and ops workflows—and how can leaders set themselves up for scalable, cross-functional adoption from the start?