AI Agents Meet iPaaS: How Workato and Boomi Are Building for Agentic Automation

For most of the last decade, iPaaS did quiet, essential work. It moved orders from ecommerce into the ERP, synced employees from HR into identity systems and kept CRM and billing in step. Business users rarely thought about it.

AI agents changed that. An agent that can reason but cannot securely act on enterprise systems has limited business value. To act, it has to read from and write to the same ERPs, CRMs and service desks that iPaaS already connects, using credentials someone has to manage, under rules someone has to enforce. The integration layer is now where agents get their tools, their context and their limits.

Workato and Boomi have both made this bet, from different starting points. Tellestia partners with both, and we increasingly see clients evaluate them side by side for agentic work. Here is how each one is approaching it, and where each fits.

Why AI agents need an iPaaS

An enterprise agent needs three things to do useful work safely:

• Tools: actions it can take in business systems, such as creating a ticket, updating an opportunity or checking stock.
• Context: current, trusted data and documents to reason over.
• Control: identity, permissions, audit trails and limits on what it may do without human approval.

An iPaaS already holds most of this: the connectors, the authenticated connections, the tested business processes and the monitoring. The Model Context Protocol (MCP), an open standard for exposing tools and data to AI models, has made it practical to publish those existing capabilities to agents. Both vendors have built heavily around it.

Workato’s approach: agents built into the orchestration layer

Workato treats agents as a natural extension of its recipes, the automated workflows its customers already run. It was named a Leader in the 2026 Gartner Magic Quadrant for iPaaS for the eighth consecutive time, and much of its recent investment has gone into agentic capability.

Agent Studio and Genies

Agent Studio is where teams build AI agents, which Workato calls Genies. Each Genie is given a purpose, skills and knowledge bases, and is deployed where employees already work, including Slack, Microsoft Teams and Workato GO. During 2026, Workato added bring-your-own-LLM support, longer-running Genies and headless use through an API.

Enterprise MCP

Workato positions Enterprise MCP as a foundation for connecting AI agents to governed enterprise systems. In early 2026, it began releasing pre-built, production-ready MCP servers, starting with eight and planning more than 100 during the year. Genies can also act as MCP clients, using external MCP servers.

Verified User Access can require end users to authenticate with their own credentials, so each agent action can be attributed to the person who authorized it. In July 2026, Workato added an MCP Registry that keeps a governed inventory of every MCP server in the organization.

AIRO

AIRO, introduced in 2026, is a multi-agent experience inside Workato ONE that takes builders from a stated intent to a working, monitored solution. It can also be reached from AI coding tools such as Claude Code and Cursor through its own MCP server.

Boomi’s Approach: agents governed from a control plane

Boomi’s agentic strategy puts governance and data foundations first.

Agentstudio and Agent Control Tower

Boomi Agentstudio brings together Agent Designer for building agents, Agent Garden for running them and Agent Control Tower for governing them. Control Tower is the distinctive piece. It catalogs and monitors agents beyond those built on Boomi, with native support for Amazon Bedrock, Snowflake Cortex Agents and, from the September 2026 release, Anthropic’s Claude Managed Agents.

What Boomi announced at Boomi World 2026

At Boomi World 2026 in Chicago, Boomi grouped its new capabilities into five areas: orchestrated agentic workflows, agentic engineering, governed agent connectivity, grounded agent context and localized agent infrastructure. Highlights include an MCP Registry for governing agent tooling, Agentstudio APIs for invoking published agents from any application or pipeline, multi-region instances that keep agent data and execution in specified regions, and Boomi Companion, which gives coding agents Boomi platform knowledge. Boomi Orchestrate became generally available on 12 September 2026.

A data foundation underneath

Boomi’s platform also includes Master Data Hub and, since its acquisition of Rivery, ELT and change data capture. For agentic work this matters, because agents grounded in governed, current data make fewer costly mistakes.

Workato vs Boomi for agentic automation: where each fits

Both platforms are capable, and both are moving fast. In our experience, the deciding factors are your systems and your operating model.

Workato tends to get agents into employees’ hands faster, especially in SaaS-heavy organizations where IT and business teams share automation work. Boomi is often the stronger option when agents need to reach on-premises systems, when data residency is tightly controlled, or when the enterprise expects to run agents from several vendors and wants one place to govern them. Many of our clients already run one of these platforms, and that existing integration investment is usually the best place to start.

Five governance rules for agentic automation on any platform

• Act as the user. Agents should run with the requesting user’s identity and permissions, never a shared superuser account.
• Expose narrow tools. Publish specific actions such as “update shipping address”, not open database access.
• Keep humans in consequential decisions. Require approval for refunds, payments, contract changes and anything customer-facing.
• Log every action. Each tool call should be traceable to an agent, a user and a business outcome.
• Test before production. Run agents against realistic scenarios, including bad data and failing systems, before go-live.

Agentic automation FAQs

What is agentic automation?

Agentic automation uses AI agents that reason about a goal, choose which tools to use and take actions across business systems, within guardrails the enterprise sets. It extends rule-based workflow automation with judgment.

Do AI agents replace iPaaS?

No. Agents depend on iPaaS for connectors, authenticated access, business processes and monitoring. The iPaaS becomes the layer that supplies and governs agent tools.

What is MCP in iPaaS?

The Model Context Protocol is an open standard that lets AI models discover and call tools and data sources. Workato and Boomi both use MCP to expose integrations and business processes to AI agents under enterprise governance.

Shyam Sundar

Technical Architect

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Shyam Sundar is a Technical Architect at Tellestia, with a deep passion for building scalable and future-ready tech solutions. He shares insights on architecture, engineering best practices, and emerging technologies.

AI Agents

AI Governance

Enterprise Automation

iPaaS

Model Context Protocol