Level 3 – AI-Augmented GTM

What This Level Means

At Level 3, AI is no longer just an experiment—it’s an active driver of GTM efficiency. Organizations at this stage move beyond basic automation, using AI for predictive analytics, campaign execution, content creation, and revenue intelligence.

However, while AI is embedded in select workflows, it isn’t yet fully integrated across all GTM functions. Sales, marketing, and revenue operations teams may leverage AI-powered lead scoring, audience segmentation, and personalization, but cross-functional coordination, governance, and AI-first strategy are still evolving.

AI is enhancing decision-making and efficiency, but for organizations to reach true GTM Velocity, they must focus on scalability, alignment, and AI-first execution.

What It Means to Be at This Level in 2025

AI is advancing rapidly, and organizations that fail to scale their AI initiatives risk falling behind.

• By 2026, over 50% of enterprise AI models will be domain-specific, tailored for sales, marketing, and customer engagement (Gartner).
• 90% of commercial leaders plan to use AI frequently over the next two years, making it a staple of GTM operations (McKinsey).

For organizations at Level 3, the challenge is clear: those who scale AI effectively will outpace their competitors, while those who stagnate risk losing ground to AI-first companies.

Is Your Organization Ready for Level 4?

Ask yourself these key questions:

• Are AI tools consistently embedded in GTM tasks like lead scoring, sales forecasting, and campaign optimization?
• Is AI enhancing some workflows, but not yet central to decision-making?
• Are teams actively engaging with AI-driven insights, or is there still resistance to AI-powered execution?

If AI is still operating in silos or underused, now is the time to focus on scaling AI adoption and moving toward full integration.

How to Reach Level 4 – AI-Embedded GTM

1. Expand AI Integration Across GTM Functions

Shift from AI-supported to AI-driven workflows by embedding AI across sales, marketing, and customer success. AI should not only enhance processes but actively shape strategy.

2. Leverage AI for Real-Time Optimization

Go beyond static automation—implement:

• AI-powered A/B testing to optimize messaging in real time
• Dynamic content personalization for more relevant buyer experiences
• Real-time lead prioritization to accelerate pipeline velocity

3. Foster Cross-Functional AI Collaboration

Ensure RevOps, sales, marketing, and finance teams are aligned around AI insights, enabling seamless execution and data-driven decision-making.

4. Build an AI-First Culture

AI adoption must be embraced at every level. Invest in:

• Advanced AI training to deepen AI expertise across teams
• AI-driven performance tracking to measure and refine AI impact
• Clear AI governance to standardize processes and ensure accountability

By embedding AI into every stage of the GTM motion, organizations unlock scalable revenue growth, improve operational efficiency, and create hyper-personalized customer experiences.

Take the Next Step Toward AI-Embedded GTM

Scaling AI requires action. The next step toward Level 4 AI Integration is to move from isolated AI use cases to fully embedded AI-driven GTM execution.

Explore our State of GTM AI Report to learn how leading companies are advancing AI adoption, eliminating GTM Bloat, and accelerating GTM Velocity.