Stop the AI Pilot Purgatory: Pre-Order the Playbook for Building an AI-Native GTM Org

Go-to-market teams everywhere are experimenting with AI. 

We see copilots launching, agents being tested, and automation tools flooding the market. Yet, despite the buzz, true transformation remains elusive for most. Why?

According to MIT, a staggering 95% of generative AI pilots are failing. The reality is that layering disparate AI solutions onto already fragmented systems and broken processes only deepens the chaos. 

Teams operate in silos, wrestling with inconsistent data, unclear strategies, and AI tools that promise magic but often deliver little more than "faster, louder bad things". Reps get overwhelmed, RevOps teams are stuck duct-taping workflows, and leaders lack a clear, unified system to drive predictable results .

What's missing is the playbook. The architectural blueprint for building a truly AI-native GTM organization – one where intelligence is the foundational operating system.

And this is why we're here.

A Late-Night Idea that Became An Actionable Playbook

This feeling – the disconnect between AI's potential and GTM's chaotic reality – is exactly what sparked this project. It was past midnight on a Saturday when our CEO, Santiago Suarez Ordonez, couldn't shake the question: 

Why hasn't anyone written the actual playbook for building an AI-native GTM org based on solid architecture? 

He Slacked our Head of GTM Growth, Jonathan Kvarfordt, who (unsurprisingly) was also deep in AI thought. The response was immediate: "Let's go."

That spark, fueled by the clear market need, evolved into "Ignite Your GTM with AI". Co-authored by Santiago, Ashley Wilson (COO), Moiz Virani (CTO), and Jonathan, this book is the GTM leader’s guide to building an insurmountable advantage with Intelligence Architecture.

"Ignite Your GTM with AI" officially launches on November 5th, but you can join the waitlist for the launch now!

What's Inside: The Blueprint for Intelligence Architecture

Our book is a practical, chapter-by-chapter guide grounded in the Intelligence Architecture Framework – designing systems that combine human and machine intelligence for real execution, not just dashboards. We brought together over 30+ leaders and operators from the front lines to share what's actually working.

Here’s a glimpse of the journey:

• Chapter 1: The Lay of the AI Land in 2025 (with insights from Jacco Van Der Kooij, Winning by Design): We cut through the hype, revealing the real drivers behind AI-Native hypergrowth (Hint: It’s not consumption pricing or flashy chatbots). Learn about User-Decider Convergence and Real-Time Decision Making.
• Chapter 2: A Gen AI Primer - Taming the Black Box (with insights from Moiz Virani, Momentum and Mark Roberge, Stage 2 Capital): Move beyond the myths of AI as a magic oracle or plug-and-play employee. Understand the four dimensions essential for turning probabilistic AI into deterministic business results: Context Engineering, Human-AI Orchestration, Signals Mapping, and Transparent Reasoning .
• Chapter 3: A Strategic Roadmap for AI Transformation (with insights from Kyle Norton, Owner.com): Get the practical roadmap for execution. AI transformation can't be delegated. Learn the 4P Framework, the 70/20/10 capability rule, and the 90-Day Foundation Sprint to build momentum.
• Chapter 4: Build vs Buy: The Great Debate for GTM Engineers (with insights from Brendan Short, The Signal and Elio Narciso, ScaleStack): Stop applying old software procurement logic. Understand the hidden costs and dependencies and learn how to make architectural choices that enable hybrid models and preserve agility.
• Chapter 5: Market Intelligence & ICP Definition (with insights from Jordan Crawford, Blueprint): Your traditional ICP is likely useless . Learn why you can't personalize your way out of a targeting problem and how to identify Pain Qualified Segments (PQS) and deliver Permissionless Value Propositions (PVP) using AI for data discovery, not just copy.
• Chapter 6: Demand Generation & Personalization at Scale (with insights from Elaine Zelby, Tofu; John-Henry Scherk, Growth Plays; and Micael Oliveira, Amplemarket): Escape the "AI SDR slot machine". Build systems for contextualization at scale , leveraging intelligence-driven signals over black-box intent , and orchestrating human touch with AI clarity.
• Chapter 7: Sales Execution & Deal Management (with insights from Kyle Norton; Mark Turner, Demandbase; Brian Dietmeyer, Closestrong.ai; Navin Persaud, 1Password; Oran Akron, Monday; and Kevin Chu, ElevenLabs): Move sales from a "chaotic art studio" to a high-performance engine. Architect systems that automate data capture, provide objective risk flags, and free reps from the ~70% admin burden to focus on human connection.
• Chapter 8: Insight Generation: Data Analytics & Deep Research (with insights from Julian Teixeira, 1Password and Andy Mowat, Whispered): Stop drowning in scattered signals. Build an architecture that processes signals systematically, turning noise into predictive insights and unique data advantages .
• Chapter 9: Coaching & Enablement: AI-Driven Skills Development (with insights from Toby Carrington, Seismic; Sheevaun Thatcher, Demandbase; Christina Brady, Luster.ai; and Amanda Whiteside, Uber): Traditional enablement is broken ("a massive filing cabinet") . Implement "Predictive Enablement" using AI for diagnostics and just-in-time, contextual coaching to ensure team readiness before revenue is impacted.
• Chapter 10: Forecasting & Executive Insights: Predictive Health & Strategic Dashboards (with insights from Mandy Cole, Stage 2 Capital, Akash Bose, Innovious Capital, Tessa Whittaker, ZoomInfo, Megan Prince, Zeni, and Cris Mendes, Momentum): End the dreaded, unreliable forecast ritual . Build trust with Transparent Reasoning , orchestrate human judgment with AI analysis , and move from lagging indicators to predictive health monitoring .
• Chapter 11: Account & Customer Expansion: Handoff Intelligence, Retention & Upsell Signals (with insights from Dione Hedgpeth, Momentum Advisor / ex-Sumo Logic and Alphonso Calanoc, Momentum): Solve the "CSM Conundrum" and stop intelligence from evaporating at handoff. Architect the flow of insights across the customer lifecycle using journey maps and AI-driven signals for proactive retention and expansion.
• Chapter 12: AI-Enabled Outsourcing & Talent: Architecting the Future Workforce (with insights from Seth Stover, Tiderise): Reframe outsourcing from cost arbitrage to capacity architecture. Learn how to orchestrate internal teams, global talent, and AI , using systematic knowledge capture to prepare for future automation.
• Chapter 13: The Million-Dollar Decision: How AI Infrastructure Transforms Every Layer of Your Revenue Organization (with Ashley Wilson, Santiago Suarez Ordonez and Moiz Virani, co-founders of Momentum): We synthesize the entire Intelligence Architecture framework, connecting the dots and providing the ultimate blueprint for building a resilient, intelligent, and high-growth GTM organization.

Your Next Step: Join the Launch Waitlist

Operating with disconnected AI tools and siloed data creates a fragmented understanding of what truly drives revenue. "Ignite Your GTM with AI" provides the unified Intelligence Architecture needed to break down those silos and operate from a single, intelligent source of truth.

Stop reacting. Start architecting.

Join the waitlist to be notified the moment "Ignite Your GTM with AI" launches on November 5th!

Let's build the future of GTM, together.