Dan Waldschmidt joins Meir Heimowitz to explain why resilience must be built into your finances, mindset, relationships, and daily life. They discuss how AI compresses experience, why enterprise buyers optimize for certainty and risk reduction, and how introspection turns failure into useful feedback. Watch: https://www.youtube.com/watch?v=kvQVojqGbGw

AI governance is not a document. It is an ongoing operating practice. Dallas Bishoff, president of PROCESS 360, joins me to explain why organizations need AI literacy, incident management, human oversight, and visibility into what their systems are actually doing. We cover why production AI can change after launch, how leaders should distinguish reversible and irreversible decisions, and why dynamic risk makes governance a continuous process.

Connect with Dallas: https://www.linkedin.com/in/dallasbishoff

PROCESS 360: https://www.process360.com/

Watch the full video: https://www.youtube.com/watch?v=i_DQWWuOWCc

Rob Whitlow, founder and CEO of Four Quadrants OS, explains why B2B leaders should evaluate the whole business system before adding more AI.

Rob and Meir Heimowitz cover the four stages of a business system, KPIs beyond revenue, dormant pipeline, human referrals, AI overload, and a practical rule: fix the basics before adding complexity.

Connect with Rob: https://fourquadrants.com

Sridhar Guduguntla, Founder, President and CEO of Synergycom, shares how enterprise AI becomes valuable when it moves beyond hype and produces outcomes customers can see and trust.

Craig Booth, founder of Channel Force, joins Meir Heimowitz to explain why partner programs can grow partner count without producing reliable revenue. Craig argues that the useful unit of measurement is the active seller: a partner representative executing a joint strategy against defined accounts. He breaks down how to plan partner revenue down to the metric, select the partners and sellers most likely to create impact, build account-level engagement strategies, capture performance intelligence, and use AI to improve execution. The conversation also covers the operating gap between CRM and partner relationship management platforms, the importance of market reach and social proof, and why executive credibility still shapes enterprise buying decisions.

Vaughn Mordecai has a number that stops most revenue leaders cold. In a healthy B2B business, partners should be driving close to 40% of your revenue. Most companies never get near that, and the reason is not strategy. It is that they underestimate how much work a real partner channel takes, and they try to run it on spreadsheets long after it has outgrown them.

In this episode I sat down with Vaughn, the Chief Revenue Officer at Mindmatrix, to get into what a partner led revenue engine actually looks like when it works. We talk about the partnerships nobody expects, like the World Cup luxury boxes that quietly drive huge downstream spend, and the local shop that supports a whole school district long after the laptops are delivered.

Then we get into AI, and this is where Vaughn is sharp. He gets millions of AI written messages, and he can spot the lazy ones in seconds. His point is that AI does not make outreach good or bad. It just scales whatever you already are. The teams winning with it use AI to clear the admin off their plate so they can put that time back into real human relationships.

We also cover the stat that reframes the whole thing. About 80% of the buyer journey happens before someone ever talks to a seller, so the work is staying useful and staying top of mind long before anyone is ready to buy. And we close on his favorite metaphor, running go to market like a soccer formation, where direct, marketing, and partnerships play as one team instead of three.

If you are building a channel or trying to figure out where your revenue actually comes from, this one is worth your time.

Most people think AI's biggest effect on sales is speed. Justin Shriber sees something sharper. In this conversation he tells Meir that AI did not just make outbound faster, it made it dangerous. We used to hand a rep a cigarette lighter that could burn one or two contacts. Now we hand them a flame thrower that can decimate an entire ICP in a single afternoon.

Justin is the CEO and cofounder of Terret and the host of Revenue Mavericks, and he has spent his career in the rooms where revenue leaders make their calls, from People.ai to LinkedIn to Oracle. He walks through why the old sales leader, the one who ran a tight playbook like a conductor reading a score, is giving way to something closer to Miles Davis: a leader who reads the room in real time and moves the whole band with them.

We get into the two camps forming around AI, the ones leaning in and getting more productive, and the ones keeping it at arm's length out of fear. Justin is blunt about which group keeps winning. He also names where companies quietly burn money on AI science projects, and the three use cases that actually pay off right away.

The line that stuck with me most: people do not want to be interrupted. They want to be invited. Justin explains how Terret rebuilt its entire go to market around that one idea, trading cold calls and cold emails for invitations people opt into.

If you lead a revenue team, or you sell into one, this is a clear look at what is changing and what to do about it.

Find the full episode and more conversations at https://getrevgenai.com/podcast

Bryan House has a rule that would terrify most marketing teams: if it's gated, it doesn't exist. As CEO of Elastic Path, he watched buying behavior shift — people research through LLMs and arrive educated long before they ever talk to a vendor — so his team deleted every form on the website except two: schedule a demo and contact us. Everything else is freely available, for humans and for AI agents doing the research on their behalf.

We get into what that decision actually did to their go-to-market, and why the old marketing KPIs — form fills, gated leads — were measuring the wrong thing all along.

Bryan's been building for a while: founding team at Acquia, which he helped scale past $170M in revenue, then Chief Commercial Officer at Neural Magic before taking the helm at Elastic Path. That experience shows up all over this conversation — from what "1,500 ways to configure a couch" taught him about real commerce complexity, to why throwing money at growth stopped working after the ZIRP era, to his Keith Richards theory of constraints: the blues is the 12 bars, and the creativity is what you do inside them.

We also talk about the trap of believing your own BS as a leader, why repositioning starts with looking at who actually buys, and his honest take on why growth stalls: only a tiny fraction of your market is in market at any moment, and reaching them is the whole game.

Connect with Bryan: https://www.linkedin.com/in/bhouse/

Elastic Path: https://www.elasticpath.com

All episodes: https://getrevgenai.com/podcast

Bill Ryan from Big Wheel Performance joins Meir Heimowitz to talk about what really breaks when companies move from founder led sales into a more mature GTM system.

Bill explains why many CRO hires fail because the company never decided whether it needed a transformational rebuild or a steady state operator. He also walks through Big Wheel Performance's view of investor ready revenue engines, why sales is often the symptom rather than the root problem, and how founders can think about capital efficient GTM before raising or exiting.

The episode closes with a practical AI point: AI is not the company. It is a tool the company deploys. The real work is still knowing the customer, measuring the right things, and building a process worth scaling.

Connect with Bill at https://bigwheelperformance.com or on LinkedIn at https://www.linkedin.com/in/bill-ryanatl/.

Bruce Kopkin has spent decades helping companies get unstuck when sales stops scaling.

In this conversation, Bruce and Meir talk about where fractional revenue leadership fits, why founder-led companies often plateau, and what changes when a company gets clear on its ideal customer before adding more sales activity.

Bruce also breaks down the parts of sales where AI can help and the parts where human judgment still matters. His point is practical: buyers do not want a pitch. They want someone who understands their situation, their risk, and what a solution actually changes for them.

Bruce Kopkin is a Partner at TechCXO, working with founders, CEOs, sales leaders, and PE-backed companies on revenue growth.