Microsoft Copilot and custom AI agents are among the most practical near-term AI investments most organizations can make. We help organizations deploy Copilot responsibly and build custom agents integrated with your systems, delivering AI assistance that connects to real work and drives genuine productivity gains across your teams.
Microsoft Copilot and custom AI agents create real productivity gains when they are deployed with proper governance and connected to the systems and data your teams actually use. The organizations getting the most from Copilot are the ones that approached deployment thoughtfully — addressing governance gaps first, identifying the right use cases, and enabling users to incorporate AI assistance into how they actually work rather than treating it as a tool available in the toolbar but rarely opened.
Proper tenant configuration, data governance, and user enablement mean Copilot delivers real productivity gains rather than surface-level assistance disconnected from your actual work.
Custom AI agents built on Copilot Studio and Azure AI Foundry integrate with your existing data and applications, enabling automation grounded in your specific business context.
Security controls and responsible AI governance built into every deployment ensure AI capabilities are enabled without compromising your data or compliance requirements.
From Copilot readiness and deployment through custom Copilot Studio and Azure AI Foundry agent development, RAG implementation, and envisioning workshops, here is how we engage.
M365 Copilot deployment covering tenant configuration, security controls, licensing, and user enablement to drive adoption.
M365 tenant, data governance, and security posture evaluated to identify gaps before Copilot deployment begins.
Custom AI agents built in Copilot Studio automating workflows and integrating with your existing business systems and data.
Custom AI agents on Azure AI Foundry for use cases requiring deeper capabilities or integration with enterprise data sources.
Copilot and Power Platform exploration including readiness assessment, business case development, and an adoption roadmap.
RAG architecture grounding AI outputs in your business data and documents for accurate, context-aware responses.
Our Copilot Prioritized Tier status and Data and AI Solutions Partner designation reflect years of investment in Copilot deployment and custom agent development. These credentials are earned through rigorous third-party audits and demonstrated client outcomes across Microsoft 365 Copilot deployments, Copilot Studio agent development, and Azure AI Foundry implementations.
Copilot and agent deployments that skip the governance foundation or skip past clear use case definition rarely deliver on their promise. Our approach is built around doing the right things in the right order, drawing on direct experience deploying Copilot and building agents across a range of organizations and use cases on the Microsoft AI platform.
Copilot has access to everything your users can access in Microsoft 365. Deploying it without first ensuring your data classification, sensitivity labels, access controls, and sharing policies are properly configured is a security risk that AI amplifies rather than creates. We assess and address governance gaps before enabling Copilot for any user, using our Microsoft Purview expertise to make sure the data foundation is clean and controlled before AI starts surfacing it. For most organizations, this work is valuable independent of Copilot and becomes the prerequisite that makes every subsequent AI investment safer.
The most common failure mode for custom AI agents is building technically capable agents for use cases that do not justify the investment or do not fit how people actually work. We start every agent engagement by identifying the specific workflows, decisions, or information needs the agent is meant to address and validating that an agent is genuinely the right solution before building anything. Our Build an Agent Workshop gives organizations a fast, hands-on way to validate use cases by producing a production-ready agent in a single day, so the decision to invest further is informed by real experience rather than theoretical potential.
Microsoft Copilot Studio is where most enterprise agent development belongs. It provides the integration framework, governance controls, and Microsoft 365 connectivity that make agents useful in practice rather than impressive in a demo. We build Copilot Studio agents that connect to your business systems, your data platforms, and your knowledge bases so the assistance they provide is grounded in your specific business context. Agents that can answer questions from your actual data, trigger workflows in your actual systems, and surface information your teams actually need are the ones that get used consistently.
For agent use cases that require more sophisticated AI capabilities than Copilot Studio supports natively, Azure AI Foundry is where we build. Custom models, RAG architecture that grounds outputs in your enterprise data, complex multi-step reasoning, and deep integration with line-of-business applications all become possible at this layer. Our experience across both platforms means we recommend the right tool for each use case rather than defaulting to the most technically interesting option or the most familiar one.
Copilot and agents become significantly more valuable when they are connected to the automation and workflow capabilities that Power Platform provides. Power Automate workflows triggered by agent outputs, Power Apps that surface AI assistance in business processes, and Power BI that makes AI-driven insights accessible to business users all extend the impact of Copilot and agent investments beyond the individuals using them directly. We incorporate Power Platform into our agent and Copilot engagements where it creates genuine additional value rather than treating it as a separate workstream.
The most technically sophisticated Copilot deployment or agent architecture delivers no value if the people it was built for do not use it. We treat adoption as a design requirement, not an afterthought. That means configuring Copilot around how your teams actually work, building agents that fit naturally into existing workflows rather than creating new ones, and providing the enablement support your organization needs to build confidence with AI tools over time. The measure of a successful engagement is not a working deployment on go-live day. It is consistent, expanding use across your organization weeks and months later.
Copilot has access to everything your users can access in Microsoft 365. Deploying it without first ensuring your data classification, sensitivity labels, access controls, and sharing policies are properly configured is a security risk that AI amplifies rather than creates. We assess and address governance gaps before enabling Copilot for any user, using our Microsoft Purview expertise to make sure the data foundation is clean and controlled before AI starts surfacing it. For most organizations, this work is valuable independent of Copilot and becomes the prerequisite that makes every subsequent AI investment safer.
The most common failure mode for custom AI agents is building technically capable agents for use cases that do not justify the investment or do not fit how people actually work. We start every agent engagement by identifying the specific workflows, decisions, or information needs the agent is meant to address and validating that an agent is genuinely the right solution before building anything. Our Build an Agent Workshop gives organizations a fast, hands-on way to validate use cases by producing a production-ready agent in a single day, so the decision to invest further is informed by real experience rather than theoretical potential.
Microsoft Copilot Studio is where most enterprise agent development belongs. It provides the integration framework, governance controls, and Microsoft 365 connectivity that make agents useful in practice rather than impressive in a demo. We build Copilot Studio agents that connect to your business systems, your data platforms, and your knowledge bases so the assistance they provide is grounded in your specific business context. Agents that can answer questions from your actual data, trigger workflows in your actual systems, and surface information your teams actually need are the ones that get used consistently.
For agent use cases that require more sophisticated AI capabilities than Copilot Studio supports natively, Azure AI Foundry is where we build. Custom models, RAG architecture that grounds outputs in your enterprise data, complex multi-step reasoning, and deep integration with line-of-business applications all become possible at this layer. Our experience across both platforms means we recommend the right tool for each use case rather than defaulting to the most technically interesting option or the most familiar one.
Copilot and agents become significantly more valuable when they are connected to the automation and workflow capabilities that Power Platform provides. Power Automate workflows triggered by agent outputs, Power Apps that surface AI assistance in business processes, and Power BI that makes AI-driven insights accessible to business users all extend the impact of Copilot and agent investments beyond the individuals using them directly. We incorporate Power Platform into our agent and Copilot engagements where it creates genuine additional value rather than treating it as a separate workstream.
The most technically sophisticated Copilot deployment or agent architecture delivers no value if the people it was built for do not use it. We treat adoption as a design requirement, not an afterthought. That means configuring Copilot around how your teams actually work, building agents that fit naturally into existing workflows rather than creating new ones, and providing the enablement support your organization needs to build confidence with AI tools over time. The measure of a successful engagement is not a working deployment on go-live day. It is consistent, expanding use across your organization weeks and months later.
Copilot Advanced Specialization: Emergent holds the Microsoft Copilot advanced specialization, validating our depth in readiness, governance, deployment, and the enablement practices that drive adoption.
Governance First, Every Time: We address data classification, access controls, and M365 security configuration before enabling Copilot for anyone, making every deployment safer and more defensible.
Agents Built in a Single Day: Our Build an Agent Workshop produces a production-ready agent in one day, letting your team experience what agents can actually do before committing to further investment.
Both Platforms, Used Correctly: We build on Copilot Studio and Azure AI Foundry and recommend the right platform for each use case rather than defaulting to the most familiar option.
Power Platform Integration: We connect Copilot and agent capabilities to Power Platform workflows and applications, extending AI impact across business processes beyond individual users.
Adoption Is a Design Requirement: We build Copilot configurations and agent workflows around how your teams actually work, so the capabilities we deploy get used consistently after go-live.
Start with a Copilot Readiness Assessment or Envisioning Workshop to understand what AI assistance could actually do for your organization and what it takes to get there.
Emergent Software delivers data platforms, Azure cloud, AI, custom software development, and security solutions as a certified Microsoft Solutions Partner.
