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Explore all the skills defining the AI-native era

AI Practice Sessions

AI-Native GTM Architecture

Applied methods for embedding AI into real business architectures, exposing where systems break, where they hold, and the risks in between.
AI-ASSISTED CREATION

February 12, 8:30 am PT • Virtual • Free

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Event Overview

One goal. Infinite operating models.

Architecture can work against AI. With 95% of AI deployments failing, architecture is the determining factor in whether AI creates value or erodes it.

The 2026 challenge is defining what AI-native GTM architecture actually is: a discrete function or a system-level operating construct that integrates agentic scaling, distribution, AI-native workflows, and agent swarms. Does it operate independently, or as a holistic architecture connecting the business end to end? And is it owned by a CXO role or governed as a distinct capability through mechanisms such as architectural review boards that evaluate and approve AI investments rather than leaving design to individual teams?

AI Practice Sessions focus on applied methods for integrating AI into real GTM architectures. The sessions examine where AI initiatives fail, where they succeed, and why, enabling leaders to compare approaches and clearly understand the risks they choose to take.

System Architecture

Understand where AI belongs in GTM systems, how it connects functions end to end, and why tool-first deployments fail at scale.

Failure Patterns

See where AI GTM architectures broke, stalled, or scaled and the architectural decisions that determined each outcome.

Operating Models

Compare AI-native GTM operating models and determine which structure fits your maturity, governance requirements, and growth ambition.

System Architecture

Understand where AI belongs in GTM systems, how it connects functions end to end, and why tool-first deployments fail at scale.

Failure Patterns

See where AI GTM architectures broke, stalled, or scaled and the architectural decisions that determined each outcome.

Operating Models

Compare AI-native GTM operating models and determine which structure fits your maturity, governance requirements, and growth ambition.

Event Preview
Get a firsthand look at how AI-native GTM architectures operate in practice—where agentic systems scale, where architectures break, and how governance determines outcomes.
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Relive the experience

Adgenda

Explore how governed AI architectures replace silos with synchronization to deliver faster, smarter execution at scale across 11 focused, 30-minute sessions.
Session 1
8:30 am PT
Why Your AI GTM Stack Will Fail (And How to Fix It)
Session 2
9:00 am PT
Operationalizing Revenue Decisions with AI
Session 3
9:30 am PT
Retention as Architecture: Governing AI Where Revenue Is Actually Lost
Session 4
10:00 am PT
AI Teammates in the Revenue Workflow
Session 5
10:30 am PT
Building an AI Workforce for GTM Execution
Session 6
11:00 am PT
Drive Expansion With AI (Without Breaking Your CS Stack)
Session 7
11:30 am PT
Building and Validating Research Agents in GTM
Session 8
12:00 pm PT
The Agentic Maturity Curve for Revenue Teams
8:30 am PT
Applied AI Framework
Why Your AI GTM Stack Will Fail (And How to Fix It)
Most companies bolt AI agents onto broken architecture and wonder why nothing works. Amos shares what he learned building Swan AI’s autonomous GTM engine – the 3 architectural decisions that separate the 5% who create value from the 95% who erode it.

Presented by
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CEO & Co-Founder, Swan AI
Amos Bar-Joseph
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Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
9:00 am PT
Applied AI Framework
Operationalizing Revenue Decisions with AI
This session looks at how AI is used inside GTM systems to explain deal movement, surface risk early, and support consistent decisions across Sales, RevOps, Marketing, and Finance. A practical view of how teams analyze CRM, calls, email, and activity data together—showing not just what is happening in pipeline, but why.​

Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
9:30 am PT
Applied AI Framework
Retention as Architecture: Governing AI Where Revenue Is Actually Lost
Retention outcomes reflect how post-sale GTM systems are designed and governed. This session looks at how AI is embedded into customer success workflows to surface risk earlier, support timely intervention, and clarify ownership across teams. A practical view of how retention architectures operate as AI becomes part of execution.

Presented by
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Head of Sales, Hook
Joe Klin
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Founding GTM, Hook
Sam Champion
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Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
10:00 am PT
Applied AI Framework
AI Teammates in the Revenue Workflow
This session examines how AI is embedded directly into sales workflows before, during, and after customer interactions. Using real examples, it looks at how reasoning models, shared context, and system integration support live selling moments, improve deal quality, and scale execution without fragmenting GTM operations.

Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
10:30 am PT
Applied AI Framework
Building an AI Workforce for GTM Execution
GTM teams are beginning to deploy AI workers that run real workflows. This session examines how no-code agents are defined in plain language, connected to systems and data, and deployed across sales, marketing, and operations to increase capacity, standardize execution, and support repeatable GTM processes.

Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
11:00 am PT
Applied AI Framework
Drive Expansion With AI (Without Breaking Your CS Stack)
Customer Success is now accountable for revenue, not just relationships. But AI only creates value when it’s architected into the system, not bolted on.

This session shows how embedding expansion intelligence directly into existing CS workflows (using customer data, historical success patterns, and proven plays) surfaces where growth is most likely and guides action without adding tools or friction. Attendees will learn how an architecture-first AI approach helps CS teams drive repeatable expansion revenue while preserving efficiency and trust.

Presented by
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Senior Product Manager, Staircase AI, Gainsight
Brady Bluhm
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Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
11:30 am PT
Applied AI Framework
Building and Validating Research Agents in GTM
This session demonstrates how GTM teams build research agents to gather, validate, and standardize information at scale. It covers agent setup, accuracy checks, and output design, with examples of how research agents support prospecting, enrichment, and RevOps workflows without creating inconsistency or noise.

Presented by
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Co-Founder, The Kiln
Patrick Spychalski
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Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
12:00 pm PT
Applied AI Framework
The Agentic Maturity Curve for Revenue Teams
This session introduces a practical framework for assessing where GTM organizations sit on the agentic maturity curve. It examines how data readiness, human roles, team structure, and cost models evolve as AI moves from assistance to autonomy, helping leaders understand what must change at each stage as agentic systems scale.

Q&A: Shape the Conversation
You set the agenda. Vote on what matters—or ask what no one else will.
Submit a question
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A private executive network where GTM leaders, CXOs, VCs, and analysts share operating models, validate AI-native architectures, and turn innovation into deployable GTM systems.

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Meet AI Practice Sessions Partners

Sponsors

Explore a curated set of AI-native platforms advancing agentic GTM architectures – each contributing applied systems, governance models, and lessons from deploying AI at scale.
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Audience
10+
Executive demos
1K+
attendees / session
2K+
registrations
70%
senior management
22K+
GTM community
9K+
Slack members
Who’s attending
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AI Practice Sessions Highlights

Explore how forward-thinking organizations operationalized AI – scaling agentic workflows, deploying multi-agent systems, and reimagining GTM.
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Power-Law User Acquisition in the Age of AI

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Superhumans for AI-Led Growth (AI-LG)

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The One-Person GTM Org

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The Strategic Signal Squad

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Precision GTM: The RevOps Lever Stack

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The GTM Content Engine Method

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Reimagine Your GTM Architecture

Work 1:1 with operators who have designed, governed, and scaled AI-native GTM architectures, examining the structural choices that determine where AI compounds value, where it breaks systems, and how execution fragments or coheres.
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      Recordings
      Why Your AI GTM Stack Will Fail (And How to Fix It)
      Operationalizing Revenue Decisions with AI
      Retention as Architecture: Governing AI Where Revenue Is Actually Lost
      AI Teammates in the Revenue Workflow
      Building an AI Workforce for GTM Execution
      Drive Expansion With AI (Without Breaking Your CS Stack)
      Building and Validating Research Agents in GTM
      The Agentic Maturity Curve for Revenue Teams