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Lives in the Microsoft tenant
Copilot Studio fits well when work already happens in Teams, SharePoint, Outlook and Dataverse. The agent appears where employees already run the process.
Both choices are valid. The decision depends on how deeply the agent must reach into your processes, how much control you need over its behaviour and where the work already happens. The Automation Group builds both and chooses per use case.
Copilot Studio is strong when the agent stays close to Microsoft 365 and employees need the interaction in their existing workspace.
Copilot Studio fits well when work already happens in Teams, SharePoint, Outlook and Dataverse. The agent appears where employees already run the process.
Because many building blocks are already available inside Microsoft 365, a use case can become tangible quickly. That helps users test whether the agent truly fits the workflow.
DLP, Purview, permissions and existing management practices remain recognisable for IT and compliance. That makes Copilot Studio attractive when Microsoft 365 is already the primary workspace.
Process experts can work close to the content through topics, flows and knowledge sources. Developers remain important for complex integrations, but not every change has to be code.
The limits become visible when you need more than an agent inside one familiar tenant context.
A coded agent gives control over orchestration, retrieval, model routing, human-in-the-loop and observability.
With LangGraph, CrewAI or Pydantic AI, steps, roles, memory and error handling can be designed precisely. This matters when the agent combines multiple systems, decisions and exceptions.
Weaviate, Qdrant and Postgres/pgvector give control over indexing, filtering, ranking and source attribution. Retrieval can then match the content and permissions model of the organisation.
A coded agent can select a model per role, limit context and enforce strict token budgets. That makes behaviour, cost and quality easier to govern in production.
When data location or isolation is decisive, a coded agent can run in your own cloud or on-premise with OpenClaw.
Where does the work live and how much control is needed?
When Teams, SharePoint, Outlook and Dataverse carry the process, Copilot Studio is often the most natural entry point.
With ERP, CRM, custom APIs, exceptions and multi-step logic, custom orchestration is usually easier to test and manage.
Strict requirements for logging, data location and control point toward a coded agent, potentially with OpenClaw.
Use Copilot Studio as the user entry point and move heavier orchestration into code when the use case requires it.
We do not choose based on tool preference, but on process, risk, management and the smallest working variant.
We start with the work itself: who does what, which decisions are made and where should the agent add value? This prevents the tool choice from overruling the process question.
We then map Microsoft 365, ERP, CRM, knowledge sources, permissions and existing management practices. Where the work happens already determines much of the architecture.
We define the required auditability, data location, DLP, human-in-the-loop and testability. Those requirements matter more than a preference for low-code or code.
We choose the simplest form that is safe and useful. Sometimes that is Copilot Studio; sometimes a coded agent from the start; often it is a combination.
After use, you look at adoption, errors, escalations, token usage and management questions. Based on that, you scale up, simplify or move parts into code.
A practical pattern is for Copilot Studio to provide the conversational experience in Teams or Microsoft 365, while a coded agent does the heavy work: retrieval, planning, model routing, tool calls, logging and human control.
That keeps the agent close to the user while retaining control over complexity. See our services page for AI Agents, low-code, high-code and adoption.
Answers about migration, governance, management and Microsoft environments.
Discover more about our approach and solutions.
We bring process, Microsoft context, data, governance and management together into a concrete architecture choice.