B2B @ Adobe Summit: Marketo's Agentic AI Revolution

Evaluating the trajectory of Marketing Operations over the last decade, it is clear that our relatively simple lead-generation days are behind us. We have seen the complexity of our roles evolve from managing linear lead flows to orchestrating sophisticated Account-Based Marketing (ABM) strategies. More recently, we have added the nuanced layer of buying groups, which represents that vital middle ground where individual intent meets collective account decision-making.

Orchestrating GTM strategies across leads, groups, and accounts at scale is arguably the most sophisticated skill set in the modern marketing stack. For those looking for the blueprint on how to do this effectively, Adobe Summit 2026 (20–22 April) is where that conversation reaches its peak.

The B2B “Coming of Age" at Summit
Historically, Adobe Summit has been a powerhouse for Creative Cloud innovation and B2C experience design. While those high-production showcases are always impressive, 2026 feels different. The B2B track is no longer a side-note; it is a headline act. The innovations we expect for Marketo Engage this year represent a fundamental shift in how we think about the underlying marketing machine.

Word has already leaked about three major pillars: Agent-First experiences, Callable Agents, and the MCP Server. While these are likely just the tip of the iceberg, they signal a massive leap forward for those of us who have been waiting for the next big thing in Marketo. Figuring out how these changes will fit into your GTM strategy is going to be an interesting challenge.

1. The Shift to an Agent-First Experience
We have spent years as point-and-click specialists, but the leaked details suggest Adobe is moving toward an agent-first architecture native to Marketo Engage.
Imagine AI agents purpose-built for the MOps lifecycle. These agents could take a messy campaign brief and translate it into logic, QA your programmes against a library of hundreds of governance rules, or manage lead imports through natural language. This is not just a wrapper on a generic chatbot; it is AI built for the actual work we do every day. The excitement here lies in how much operational debt this could finally clear.

2. Precision Control with Callable Agents
Data hygiene remains the perennial thorn in the side of every Marketo admin. We have all dealt with the frustration of records hitting the system with non-standard formatting, only to have them trigger a Sales alert or a nurture flow before we can catch them.

The promise of Callable Agents is the ability to run AI-driven cleaning and normalization directly within your Smart Campaign flow steps via webhooks. Unlike previous methods that relied on the hit-or-miss nature of wait steps, where we hope a batch job finishes before the next flow step fires, this gives you absolute control. You decide the logical point in your workflow where the agent fires to normalize a job title or company name.

It is a vision of a self-healing database. Of course, the veteran MOps person in me remains cautiously optimistic. If this delivers on the promise of out-of-the-box templates without custom code, it will be the most significant productivity boost we have seen in years.

3. Opening the Ecosystem: The MCP Server
Equally significant is the release of the Model Context Protocol (MCP) Server for Marketo Engage. This is Adobe’s way of ensuring Marketo is not a walled garden in the agentic AI era.

By using this protocol, you can securely connect your Marketo instance to Claude, Copilot, or other MCP-compatible tools via Adobe Cloud. It allows you to build custom AI agents on top of your own data without that data ever leaving your secure environment. This positions Marketo as an open, enterprise-grade platform that can play nicely with the broader AI ecosystem your organization is likely already building.

Check out my last post on the MCP Server update here:https://www.linkedin.com/posts/katjakeesom_summit-sneaks-mcp-server-ugcPost-7446113380274360320-N3vU

The Adobe Standard: Responsible AI
In the highly regulated world of B2B, technology is only useful if it passes legal and security reviews. This is where Adobe’s focus on Responsible AI becomes a competitive advantage.
When we talk about these agents, we are not talking about black box AI. Adobe’s positioning includes critical guardrails around data privacy, specifically ensuring your proprietary data is never used to train models for other customers. Furthermore, their commitment to IP indemnity provides the peace of mind that enterprise leaders need when deploying AI at scale. In a world of hallucinations, having a governed, B2B-ready AI framework is non-negotiable.

Why You Should Be There
The leaked features are exciting, but I suspect the real mic-drop moments are still under wraps. Whether you attend in person to connect with the Marketo Champion community or join virtually, 20-22 April 2026 will be the moment we look back on as the start of the Agentic MOps era.
It has been said that Adobe was slow to move on core Marketo improvements, but the 2026 roadmap puts Marketo right back at the forefront of innovation.