AI-ASSISTED CREATION

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

January 28, 9:00 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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Join the HSE Slack

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.
Standard
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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

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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