A Founder’s Playbook for Moving From Hype to Revenue Impact

Every GTM leader is talking about AI. Few have a practical plan to turn it into measurable revenue results. The gap between experimentation and execution is widening fast.

Sreedhar Peddineni, Co-Founder and CEO at GTM Buddy, has spent 25 years building companies at the forefront of major technology shifts. He co-founded Host Analytics, helped create the entire Customer Success category with Gainsight, and is now pioneering the next wave of sales technology.

In a conversation with Amy Osmond Cook, Ph.D., Co-Founder and Chief Marketing Officer at Fullcast, Sreedhar shared his framework for leveraging AI to solve persistent GTM challenges. Here are the actionable takeaways for revenue leaders ready to move beyond the hype.

Stop Chasing New Categories. Disrupt Existing Ones.

When Sreedhar launched his latest venture, he made a deliberate strategic choice that every GTM leader should consider.

“I did not want to create a new category. When you’re talking about a true new category, it really implies that there’s no budget line item. There’s nobody in the market looking for it.”

Instead, he identified a billion-dollar market with a glaring weakness. Despite massive investment in sales enablement platforms, the core problem remained unsolved.

“Look at G2 reviews. What’s the number one problem statement? ‘I love these platforms, but my biggest problem is I can’t find content.'”

Your action step: Look for established markets where buyers already have budget but remain frustrated with existing solutions. That frustration is your opportunity.

Become an AI Power User or Get Left Behind

Sreedhar observes a troubling gap in how most professionals engage with AI. Basic prompting is no longer enough.

“People on LinkedIn still talk about, ‘Hey, I came up with this cool prompt.’ That’s so behind us. Today, the world is all about skills.”

The leaders pulling ahead are building sophisticated workflows and using multiple models strategically.

“In my workflow, I use a cross-LLM to fact-check. Anything important I’m doing, I have a fact-checker job separate from the primary job used for research or creating content.”

The stakes are clear: “If I’m not a power user of AI as my wingman, then I’m dramatically left behind. Dramatically.”

Your action step: Move beyond basic prompting. Build AI workflows that leverage skills, automation, and cross-model verification. Create an AI action plan for your entire revenue team.

Shift From Enablement to Revenue Activation

The fundamental business problems facing GTM teams have not disappeared. New hire ramp time still matters. Constant product evolution requires continuous learning. The pressure to drive growth with greater efficiency is more intense than ever.

“Just because I have a project set up with all of my company knowledge base, I can’t throw a new person into it and say, ‘Go query this, ask it to teach you, and you become good at it.’ Not going to happen.”

What has changed is how AI can address these challenges. Sreedhar introduces a concept that reframes the entire enablement function.

“Do I want to be known as a company that’s a content management system? No. We are putting ourselves out there in terms of how we help you deliver revenue outcomes. We are talking about revenue activation.”

This shift from providing tools and content to directly influencing revenue outcomes in the flow of work is only possible with AI.

Your action step: Stop measuring enablement by content consumption. Start measuring it by revenue contribution. The 2026 Benchmarks Report shows AI-enabled teams ramp 32.7% faster by removing bottlenecks in knowledge delivery.

Build Your Moat Through Deep Application

As AI capabilities become more accessible, the competitive advantage shifts from having AI to applying it deeply to high-value problems.

“The power of a person that’s able to leverage AI appropriately, even if the person intellectually is of average caliber but figured out how to use the AI, can outperform 10 people with higher IQ levels any day.”

The same principle applies to organizations. Your moat is not the AI model itself. It is the integrated application of AI to solve persistent business challenges that competitors have not addressed.

Your action step: Identify the three most persistent bottlenecks in your GTM motion. Build AI solutions that address them directly in your team’s workflow. See how Copy.ai managed 650% growth by building a repeatable GTM foundation.

Your Next Move

Sreedhar’s framework offers three essential principles for GTM leaders:

1. Focus on disrupting existing categories where pain is high and budgets already exist.
2. Cultivate a power user mindset that goes beyond basic prompting.
3. Shift from providing tools to driving measurable revenue outcomes.

The question for every revenue leader is no longer whether to adopt AI. It is whether you are building a GTM engine that simply uses AI as a feature or one that is truly activated by it to deliver results.

Explore how Fullcast Revenue Intelligence can help you make that shift.