Hans Dekker – ClaudeGTM & Clay MBA

Description

Course Overview

 

ClaudeGTM & Clay MBA by Hans Dekker is a comprehensive AI & Automation program focused on combining artificial intelligence, data enrichment, and go-to-market automation into a connected business system. The program brings together two complementary components: ClaudeGTM, which focuses on building shared-context AI sales agents inside Claude, and Clay MBA, which provides structured training in Clay, data enrichment, and related workflows. The course was published on June 10, 2026.

The program begins with the fundamentals of AI-powered go-to-market systems. Students explore how AI can support prospect research, account analysis, personalization, data processing, and other repetitive activities within modern sales and marketing operations. The objective is to use AI to augment human decision-making rather than remove the need for strategic judgment.

A major focus of ClaudeGTM is AI sales agents. Participants learn how multiple specialized agents can operate inside Claude’s Project environment while sharing a common GTM playbook, ideal customer profile information, and relevant case studies. This shared-context approach creates a more organized alternative to managing disconnected prompts.

The course also explores AI agent orchestration. Learners examine how individual AI capabilities can be connected into broader workflows covering research, preparation, personalization, and campaign execution. Building connected systems can reduce repetitive manual work and create more consistent processes.

Clay MBA provides the complementary data and enrichment layer. Students work through structured Clay modules designed to develop practical knowledge of data enrichment, prospect research, tables, workflows, and related capabilities. The program includes hands-on assignments and a completion certificate.

Prospect research is another important component. Learners explore how company information, industry details, roles, business signals, and other data can be collected and organized before being used by AI systems. Better information provides stronger context for research and marketing workflows.

The curriculum also covers data enrichment. Participants learn how enrichment can transform basic prospect information into more useful datasets for GTM activities. Combining structured data with AI analysis can help teams identify relevant accounts and prepare more informed outreach.

The program introduces MCP connectors and integrations as well. Current course materials highlight connections involving tools such as Instantly, Clay, and Exa, allowing different components of a GTM workflow to work together.

Outbound workflow development forms another key area of study. Learners can organize processes from prospect identification and research through personalization and campaign preparation. The emphasis is on creating connected systems rather than relying on isolated automation tricks.

The course also addresses GTM engineering and automation. Modern revenue teams often work across numerous sales, marketing, data, and automation tools. Connecting these systems can reduce duplicated work and improve the flow of information throughout the customer-acquisition process. Hans Dekker’s own 2026 GTM guide emphasizes AI research, Clay workflows, data pipelines, and human review as important components of practical AI-powered sales systems.

Human oversight remains an important principle throughout the program. AI can assist with research, analysis, personalization, and workflow execution, but strategic decisions, relationship building, complex sales conversations, and final review still require human judgment.

The program also emphasizes repeatable GTM systems. Rather than relying on one-off prompts, learners can develop structured playbooks, shared context, reusable workflows, and organized data systems that can be adapted as their business grows.

Whether you’re a founder developing a sales process, a GTM engineer building automation, an agency running outbound campaigns, or a revenue professional looking to integrate AI and data into your workflow, ClaudeGTM & Clay MBA by Hans Dekker (2026) provides practical frameworks for building a modern AI-powered GTM system.

By combining Claude AI agents, Clay, data enrichment, prospect research, MCP integrations, AI orchestration, outbound workflows, GTM automation, shared context, and practical sales systems, ClaudeGTM & Clay MBA equips learners with practical knowledge for developing more connected and efficient go-to-market operations.

FAQs

What is ClaudeGTM & Clay MBA?

It is an AI & Automation program combining ClaudeGTM AI-agent training with structured Clay training, data enrichment, prospect research, and GTM workflows.

Who should take this course?

The program is ideal for founders, GTM professionals, sales teams, agencies, marketers, revenue operators, and professionals interested in AI-powered sales and marketing systems.

Is this course beginner-friendly?

The Clay MBA provides a structured path without requiring prior Clay experience, while the broader program progresses into AI agents, orchestration, integrations, and advanced GTM workflows.

What topics are covered?

The program covers Claude AI agents, Clay, data enrichment, prospect research, MCP connectors, GTM automation, outbound workflows, AI orchestration, shared context, and sales-process systems.

What is the difference between ClaudeGTM and Clay MBA?

ClaudeGTM focuses on the AI-agent and orchestration layer, while Clay MBA focuses on Clay, data enrichment, and the underlying data workflow. Together they form a connected AI-and-data GTM system.