Agentic Index
Microsoft Copilot Studio vs OutSystems Agent Workbench (2026)
Choose Copilot Studio when agents should live inside Microsoft 365 and Teams under the tenant controls you already run, and OutSystems Agent Workbench when agents are part of custom applications wired into your own core systems, on your own infrastructure if needed. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Copilot Studio is Microsoft's low code environment where makers build agents, ground them in SharePoint, OneDrive, Dataverse, Salesforce or ServiceNow content, publish them and watch them on a monitor tab. Generative orchestration chains topics, tools, other agents and knowledge in one response, and an event such as a new Dataverse row can start a run.
Agent Workbench lives in OutSystems Developer Cloud, the low code platform where the same teams build their applications. Its agents draw on an Enterprise Context Graph of the app estate, call server actions, connectors and MCP, and run as steps in workflows beside the apps they serve.
Systems without an API split the two most clearly. Copilot Studio's computer use drives websites and Windows desktop applications through a virtual mouse and keyboard. OutSystems agents act only through programmatic interfaces, and for legacy systems such as COBOL and Lotus Notes its modernization path rebuilds the application instead.
Memory differs as well. Copilot Studio keeps a private store for each user, which that user can read and erase and which clears after 28 days without use. OutSystems gives developers a StoreMemory action and keeps session state in an entity in the customer's own database.
Both test agents before release. Microsoft runs named sets of test conversations that a release pipeline can call. OutSystems scores agents against a golden dataset of expected outputs and tool calls, with an automatic judge.
One Copilot Studio detail is easy to miss. It runs two agent runtimes, with memory and evaluations on the GitHub Copilot harness and computer use, model selection, event triggers and MCP on the standard one. A single agent runs on one of them.
Deployment is the hard line. Copilot Studio is SaaS, with data residency set by each environment's geography. OutSystems can run agents, apps and data in the customer's private cloud, public cloud or on premises Kubernetes.
The bills follow the same split. Microsoft 365 Copilot users build and run internal agents at no added cost, but publishing to outside channels or using the GitHub Copilot harness needs a standalone Copilot Studio plan billed in Copilot Credits. OutSystems quotes production by applications, agents, users and environments, with model inference on top.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Microsoft and Outsystems are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,083 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Microsoft if
- Your company runs on Microsoft 365, and agents should meet people in Teams and the Office apps.
- Makers should ground agents in SharePoint, OneDrive, Dataverse, Salesforce or ServiceNow content without writing code.
- Some systems have no API, and an agent should operate the website or Windows desktop app itself.
- Each user's preferences should carry across conversations, in a memory that user can read and erase.
- Agents should become identities in Microsoft Entra, governed by Conditional Access through Agent 365.
Choose Outsystems if
- Agents belong inside the custom applications your teams already build and run on OutSystems.
- Agents, apps and data must run in your own private cloud, public cloud or on premises Kubernetes.
- A model should be connected once and swapped across agents, from Bedrock, Azure OpenAI, Anthropic, Gemini or Mistral.
- Every agent change should pass a golden dataset of expected outputs and tool calls before it ships.
- Workflows should pause for a person to approve, and a rejected result should send the agent back with feedback.
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