The first question most ops teams ask before any automation project is not "what will this agent do?" It is "what do I have to change about my existing setup to make it work?" The fear is that automation will require a rip-and-replace of the tools they already run, months of IT involvement, and a migration project larger than the automation benefit.
That fear is based on real experiences with earlier generations of workflow automation products that required custom-built adapters for every system, centralized data warehouses to normalize information, or proprietary process descriptions that only lived inside the automation tool. MicroAGI is built on a different principle: the agent should run inside the stack you already have, not replace it.
This post explains how our integrations work, what the realistic requirements are for connecting a new system, and where the genuine complexity lives (so you can assess it honestly before starting).
How MicroAGI Connects to Tools
MicroAGI integrates with external tools through one of three mechanisms, in descending order of setup complexity.
Pre-built connectors. We ship with connectors for the most common back-office tool categories: ERP systems (SAP, NetSuite, Oracle Financials), CRM (Salesforce, HubSpot), communication (Slack, Gmail, Microsoft Teams), ticketing (Jira, Zendesk), productivity (Notion, Airtable, Google Sheets), and HR systems (Workday, BambooHR). For any of these, setup is credential configuration, not custom development. You authorize the connection through the MicroAGI workspace settings, the connector handles the API authentication, and the integration is available in your workflow builder within minutes.
Webhook triggers. Many back-office systems can send webhook events when something happens: a new order is submitted, a ticket is created, an approval is completed. If your system supports outbound webhooks, you can use a MicroAGI webhook endpoint as the trigger for an agent run without needing a pre-built connector. The agent receives the webhook payload, and the workflow definition specifies what to do with it.
Custom REST API connectors. For systems not in our pre-built catalog, if the tool has a documented REST API, you can build a custom connector using our connector definition format. This is a JSON description of the API endpoint, the authentication method, the request structure, and the expected response format. Once defined, the custom connector is available in your workflow builder the same way a pre-built connector is. The definition takes a few hours to write for a well-documented API; the result is a reusable integration for every workflow that needs it.
What You Do Not Need to Change
You do not need to change your ERP instance. MicroAGI calls your ERP's existing API endpoints the same way a human user would, using an API credential you provision. No middleware, no data mirror, no custom table.
You do not need to change your inbox setup. For email-triggered workflows, MicroAGI reads from a designated inbox folder using standard IMAP or the Gmail/Outlook API. You create a mailbox or label, set the agent to monitor it, and route the relevant emails there. Your existing email infrastructure stays intact.
You do not need to run an agent server on your own infrastructure (unless you have specific data residency requirements beyond our EU hosting). MicroAGI runs the agent execution in our Berlin infrastructure. The agent calls your tools through their APIs; it does not need to be co-located with them.
Where the Real Setup Work Is
We want to be honest about where integration effort actually lives, because underselling it leads to surprised customers.
Credential provisioning and permissions. Getting an API key from your ERP vendor, or getting your IT team to provision a service account with the right scope of permissions on your Salesforce instance, often takes longer than the technical integration itself. We are not the bottleneck here, but we cannot compress the time it takes your internal IT or vendor to issue a credential. Budget 1-2 weeks for any system where this requires a formal request process.
Data quality in source systems. An agent's output is only as reliable as the data it reads. If vendor records in your ERP have inconsistent naming conventions, duplicate entries, or incomplete address fields, the agent will encounter those issues at runtime just like a human processor would. We surface these as flagged steps, but we do not automatically clean source data. A data quality audit of the source systems for any workflow you plan to automate is time well spent before you start building.
Defining the approval scope. For each workflow, you need to decide which steps require approval gates and at what thresholds. This is a business decision, not a technical one. It requires the ops manager to specify: "I want to review any invoice over this amount," or "vendor account changes always require a second sign-off." We provide defaults for common workflows, but the defaults need calibration to your actual risk tolerance and audit requirements.
The Phased Connection Approach
The ops teams that have had the smoothest go-lives with MicroAGI started with one integration, not five. They connected their email inbox and their primary ERP, built one workflow end-to-end, ran it in review-only mode for two weeks (where every step is flagged regardless of thresholds, so a human sees the full run before approving), and then tuned the approval gates based on what they saw.
This approach works because it keeps the integration surface small during the learning period. If something in the agent's behavior looks unexpected, the team is looking at one integration's data, not five. Once that first workflow is running confidently in production, adding the second integration is much faster, because the team already knows how to read the run traces and where the edge cases in their data live.
A common sequence we see: start with invoice processing connected to Gmail + ERP. Add Slack notifications once invoice processing is stable. Add vendor onboarding once the team is comfortable with the agent's review queue. Each step builds on the previous one rather than requiring a large upfront integration effort.
On the "Does It Work With X?" Question
We get asked regularly about specific tools. For anything with a REST API and decent documentation, the answer is usually yes, with the custom connector route. For legacy systems that communicate over SOAP, AS2, or file-based EDI exchanges, the answer is more complicated. We can connect to systems that expose a REST interface, and many legacy ERP and procurement systems have added REST layers in recent versions. But if the only interface is SFTP file drops or a proprietary binary protocol, that is not a REST API problem, that is a system modernization problem, and it is outside the scope of what any agent platform will solve for you.
If you have a system in that category, the right approach is usually to keep that specific integration as a human step (the agent outputs a file, a human uploads it to the legacy system) while automating the surrounding workflow. It is not ideal, but it is an honest description of where the automation boundary is.
Integrations as Infrastructure, Not One-Off Projects
One of the design goals we had for the MicroAGI connector system was that integrations should be reusable infrastructure, not one-off projects. When you define a custom connector to your internal ticketing system, that connector is available to every workflow in your workspace. When you build and tune an invoice processing workflow that connects Gmail, SAP, and Slack, every person on your ops team can inspect it, copy it as a starting point for a related workflow, and build on it.
The connectors accumulate into a library of your existing stack, wired and working. Each new workflow you add has a shorter setup path because the integrations from previous workflows are already there. This is the compounding value of integration work done well the first time, rather than building a new adapter for each automation project in isolation.
