Boomi World 2025: AI-Driven Integration Gets a Reality Check

 

Logo image courtesy of Boomi

Boomi’s annual conference, Boomi World 2025, wrapped up in Dallas this May, and it brought with it more than just shiny slides and enthusiasm.

The data management company laid out a series of announcements that signal its evolution from a pure-play iPaaS (Integration Platform as a Service) provider to a more AI-infused automation and connectivity platform.

While the buzz was, of course, clearly around AI, Boomi also made notable strategic moves in data integration, API governance, and cloud partnerships, all of which deserve attention from enterprise IT and business stakeholders trying to modernize their integration architecture.

In this regard, as Steve Lucas, Chairman and CEO at Boomi, mentioned: 

“Today’s enterprises are overwhelmed by digital fragmentation and data sprawl; the future belongs to organizations that can intelligently connect everything and automate anything — and Boomi is THE platform that makes it happen. With these innovations, we’re empowering our customers to move faster, work smarter, and lead in an AI-first world.”

So, let’s break it down, not just what Boomi announced but what it means.

The Agent Has Entered the Chat: Boomi Agentstudio and MCP Support

The headline item? Boomi’s formal jump into the world of AI agents and generative automation. Enter Boomi Agentstudio, a new module designed to let organizations create, orchestrate, and manage AI-powered agents across their environments.

In principle, this sounds like the natural progression of automation platforms: moving beyond static workflows into intelligent agents that can reason, decide, and act on behalf of a process owner. Boomi Agentstudio sits as the management layer over these agents; think design-time governance, runtime control, and hopefully some visibility into what your agents are doing.

But Boomi didn’t stop there. It also made a bold move in the agent game. The company announced its support for the Model Context Protocol (MCP), an emerging open standard designed to make data and tools easily accessible to AI agents.

What does this mean in practice? By supporting MCP, Boomi allows agents to connect with MCP-compatible servers and tap into a much wider and more dynamic ecosystem of tools and data. Think of it as giving agents a bigger toolbox, with a key to every drawer. On the surface, this could reduce the barrier to entry for non-technical users. But the deeper implication is about how integration is changing, from hardcoded pipelines to dynamically generated flows driven by prompts and context-aware agents.

It’s a promising move, but adoption will depend heavily on trust, governance, and Boomi's ability to enforce enterprise-grade guardrails around AI use.

 

AI-Generated API Documentation: Progress with Caution

Also, Boomi announced a suite of improvements in its API management layer, particularly around API documentation. Now, users can auto-generate markdown or rich-text API docs using an AI-driven agent, drawing from OpenAPI specs.

This might sound minor compared to agents and GPTs, but any developer or API product manager will tell you, keeping documentation clean, accurate, and up-to-date is painful. This feature could genuinely improve developer productivity, assuming the generated content is readable, versioned, and governance-ready.

Still, it’s worth watching whether this auto-doc approach scales well across large API portfolios, especially in highly regulated industries.

Strategic Acquisitions: Rivery and Thru Formally Join the Stack

Boomi has clearly set its sights on owning more of the integration and data pipeline by two key acquisitions:

• Thru, Inc., A secure, enterprise-grade Managed File Transfer (MFT) vendor
• Rivery. A cloud-native, low-code data extraction-load-transformation (ELT) and data orchestration platform.

On one hand, the Thru deal strengthens Boomi’s file transfer story. MFT is still surprisingly critical for legacy-heavy industries, including finance, logistics, healthcare, and integrating MFT directly into the platform can reduce complexity for Boomi customers who have long relied on external tools to move files securely.

On the other hand, the Rivery’s acquisition is more strategic. It extends Boomi’s reach into cloud data integration and modern ELT, especially with support for Change Data Capture (CDC) processes as well as real-time analytics workflows.

Rivery was already competing in the same playground as Fivetran, Airbyte, and Matillion so, with Rivery inside and now Boomi DataIntegration, Boomi gets a significant boost in building end-to-end data pipelines, not just integrations between apps but between data warehouses, lakes, and operational systems.

For companies struggling to align data engineering and application integration, this is a big deal. It positions Boomi as a more holistic player in the broader data stack, though it remains to be seen how tightly the Rivery engine will integrate with Boomi’s current tooling.

Partnering Up Continues: Boomi and AWS Deepen Ties

Boomi also announced a tighter strategic collaboration with AWS, particularly around three fronts:

• AI/ML integration using AWS services.
• Cloud-based automation scaling.
• SAP migration and modernization.

This partnership sounds logical and overdue. A vast majority of Boomi’s enterprise clients already operate hybrid or multi-cloud environments, and for those on AWS, deeper native integration just reduces friction.

The SAP angle is also worth watching. Enterprises running SAP in the cloud often struggle with integration, especially when transitioning from on-prem ECC to S/4HANA or RISE. Boomi’s focus here could offer a smoother path — but execution will be key.

AI, Agents, and Real Enterprise Use

While the AI announcements dominate the headlines, we have to ask the real-world question: Are enterprises ready to trust AI agents in production? Boomi's AgentStudio is still new, and organizations will experiment cautiously.

The bigger opportunity in the near term is around MCP. Boomi's AgentStudio now natively supports MCP, which means customers can start building agents that aren’t just smarter; they’re also more connected and more capable. And Boomi isn’t stopping at access; it's applying its integration and governance DNA to this as well.

Whether it's APIs, integration processes, golden records, or other business-critical resources, Boomi ensures these tools can be discovered, secured, and governed intelligently within this new agent-friendly standard.

But there’s more. Boomi is expanding its AI capabilities with support for Amazon Q Business, Amazon’s enterprise-grade generative AI assistant. By integrating with Amazon Q, Boomi Agentstudio allows agents to ground their reasoning not just in large-scale AI models but in a company’s own knowledge base. We’re talking contracts, historical resolutions, internal rules, partner networks, all of it.

So instead of agents making generic decisions based on publicly available information, they now work with full business context. Imagine an AI agent that oversees shipping delays not just by Googling logistics best practices but by referencing your actual SLAs, customer agreements, and previous resolution patterns.

This is where AgentStudio is headed, helping teams design agents that are not only generative but deeply contextual, highly accurate, and aligned with business reality.

Boomi’s latest moves signal a clear strategy: make AI agents more powerful by grounding them in enterprise knowledge and connecting them with a universe of tools via open standards like MCP. It's about turning agent hype into agent ROI and doing it fast.

AI-assisted development, where tools like Boomi GPT could accelerate design and reduce complexity, especially in lean IT shops.

The concern, however, is governance. Will IT leaders have enough control over what these agents are allowed to do? Will these GPT-based interfaces be auditable? Boomi has a head start if it can combine the ease of use of AI tools with enterprise-grade transparency and control.

The Bigger Picture: Boomi Moves Toward a Unified Data & Integration Platform

Boomi’s positioning is shifting. It’s not just an iPaaS vendor anymore. With the addition of Rivery, the expansion of MFT capabilities, and the AI overlay, Boomi is evolving into a broader automation and data operations platform.

This brings Boomi closer to platforms such as Informatica, SnapLogic, or MuleSoft, all of which, by the way, are doubling down on AI, cloud-native pipelines, and hybrid integration.

What will differentiate Boomi going forward is how well their solution can orchestrate across boundaries, between app integration and data integration, between humans and agents, and between business logic and data pipelines.

The glue that holds all this together is governance. If Boomi gets that right, it has a big chance at becoming an effective central nervous system for enterprise digital operations.

So…

Boomi World 2025 presented a company in transition, not just reacting to the AI trend but proactively shaping it for the integration domain. The announcements around Agentstudio and support for MCP show that Boomi wants to redefine what building and managing integrations look like.

The acquisitions of Thru and Rivery are more than bolt-ons. They’re strategic bets on data mobility and intelligent automation. And the AWS partnership confirms Boomi’s continued focus on scalability and cloud relevance.

Yet, as always, success will hinge on execution. But Boomi is playing the long game, aiming to meet enterprises not just where they are today, but where they’re headed.

If Boomi can bring these pieces together into a coherent, consistent, and well-governed platform — one that lets you build fast, automate intelligently, and govern without friction—then they’ll remain a strong contender in the increasingly AI-defined enterprise software landscape.