Services

Microsoft Copilot Interface Services

Put a Microsoft Copilot interface where your users work

We design, build, and integrate Microsoft Copilot interfaces: inside Microsoft 365, as Copilot Studio agents, or embedded directly into your own applications. Each interface is grounded in your data, secured to your standards, and built on Azure by a Microsoft Solutions Partner.

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The short version

What a Microsoft Copilot interface delivers

A Microsoft Copilot interface is the surface through which your users ask questions and get AI assistance: a chat panel, a prompt box, or an inline assistant. The value comes from grounding that interface in your own data and connecting it to the systems your teams use every day.

We build these interfaces three ways: by extending Microsoft 365 Copilot, by building agents in Copilot Studio, and by embedding bespoke Copilot-style experiences into your applications on Azure OpenAI. The right approach depends on where your users work and how much control you need.

What we build

Microsoft Copilot interface capabilities

From extending Microsoft 365 Copilot to bespoke interfaces on Azure OpenAI, we build the Copilot experience that fits your users and your data.

Custom Copilot interfaces in your apps

We embed a Microsoft Copilot interface directly into your web and mobile applications: chat panels, prompt surfaces, and inline assistants that sit alongside your existing UI and respect your design system.

Microsoft 365 Copilot extensibility

We extend the Copilot interface in Teams, Outlook, and Word using declarative agents and plugins, so users get answers grounded in your data without leaving the tools they already use.

Copilot Studio agents

We design and build custom agents in Copilot Studio, connecting them to your data sources and back-end systems with the right topics, actions, and guardrails.

Azure OpenAI behind the interface

For full control over the model, retrieval, and user experience, we build bespoke Copilot-style interfaces on Azure OpenAI and Semantic Kernel, with retrieval-augmented generation (RAG) over your own content.

Our approach

Copilot interfaces that are accurate, secure, and on-brand

Grounded in your data

A Copilot interface is only useful if its answers are accurate. We connect the interface to your knowledge base with RAG so responses are grounded in your content, not generic model knowledge.

Enterprise-grade security

Your data stays within your Azure tenancy and is never used to train public models. We enforce role-based access control so the interface only surfaces data each user is permitted to see.

Built on what you already own

We extend the Microsoft 365 Copilot and Copilot Studio licences you already hold where that is the right fit, and build bespoke interfaces on Azure OpenAI where you need more control.

Accessible and on-brand

Every interface we build meets accessibility standards and matches your design system, so the Copilot experience feels like a native part of your product.

How it works

From use case to live Copilot interface

A structured approach that validates accuracy and user experience before full delivery.

Step One 1-2 weeks

Discovery and Use-Case Assessment

We map the tasks your users need help with, the data the interface must reach, and where the Copilot experience should live: inside Microsoft 365, inside your own app, or both. You receive a prioritised plan with effort and value estimates.

Step Two

Design and Proof of Concept

We design the interface and the retrieval strategy, then build a focused proof of concept on your real data. This validates accuracy, latency, and user experience before full delivery.

Step Three

Build and Integration

We build the production Copilot interface, integrating it with your data sources and systems. Security, access controls, and responsible AI guardrails are embedded throughout.

Step Four

Launch and Continuous Improvement

After user acceptance testing, we deploy to production and monitor real usage. We tune retrieval, prompts, and the interface based on how people actually use it.

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FAQ

Microsoft Copilot interface: frequently asked questions

What is a Microsoft Copilot interface?

A Microsoft Copilot interface is the conversational surface (a chat panel, prompt box, or inline assistant) through which users interact with an AI assistant built on Microsoft technology. It can live inside Microsoft 365 apps such as Teams and Outlook, inside Copilot Studio agents, or embedded directly into your own web or mobile application.

Can you add a Copilot interface to our existing application?

Yes. We embed a Copilot-style interface into your web or mobile app and connect it to your data using retrieval-augmented generation (RAG) on Azure OpenAI. The interface matches your design system and enforces your access controls, so it feels native and only surfaces data each user is permitted to see.

Should we extend Microsoft 365 Copilot or build a custom interface?

It depends on where your users work and how much control you need. Extending Microsoft 365 Copilot with declarative agents and plugins is ideal when users live in Teams, Outlook, and Word. A custom interface on Azure OpenAI is better when you need full control over the model, retrieval, and user experience. We help you decide during the assessment.

Is our data safe when using a Copilot interface?

Yes. When we build on Azure OpenAI, your data stays within your Azure tenancy and is never used to train public models. We apply role-based access control, encryption in transit and at rest, and security reviews as part of every delivery.

Our Copilot Studio agent is stuck. Can you help?

Yes. Our Copilot Studio rescue service fixes stalled deployments with proper model and data integration, including Azure AI Foundry and enterprise RAG pipelines.

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Ready to build your Microsoft Copilot interface?

Tell us where your users work and what they need help with. We will recommend the right Copilot approach and give you a clear plan, timeline, and cost estimate.