EPAM Low- and Pro-Code Agents Implementation with Microsoft 365 Copilot, Copilot Studio, and Microsoft AI Foundry

EPAM’s Low- and Pro-Code Agents with Microsoft 365 Copilot, Copilot Studio, and Microsoft AI Foundry implementation helps organizations design, build, and operationalize enterprise AI agents that automate business processes, accelerate employee productivity, and unlock new AI-driven capabilities across the Microsoft ecosystem.

This engagement is designed for CIOs, Digital Workplace leaders, enterprise architects, automation teams, and innovation leaders who want to introduce intelligent agents across Microsoft 365 and enterprise systems. Organizations adopting AI often struggle to move from experimentation to scalable deployment due to fragmented tools, lack of governance, and limited integration with enterprise workflows. EPAM helps customers implement a governed AI agent platform using Copilot Studio and Microsoft AI Foundry to enable low-code and pro-code agent development aligned with enterprise security, compliance, and operational requirements.

By combining declarative agents in Microsoft 365 with advanced agent development using Microsoft AI Foundry and Copilot APIs, organizations can automate knowledge retrieval, streamline workflows, integrate enterprise applications, and enable autonomous task execution across departments. The result is faster automation delivery, improved knowledge access, and scalable AI-driven business operations.

What You Will Receive

• Copilot Studio Agent Implementation: Design and deployment of low-code enterprise agents using Copilot Studio, including workflows, connectors, and integration with Microsoft 365 data sources such as SharePoint, Teams, and enterprise knowledge repositories.
• Pro-Code Agents with Microsoft AI Foundry: Development of advanced AI agents using Microsoft AI Foundry, Copilot APIs, and Azure AI capabilities for complex enterprise automation scenarios, including multi-system orchestration and intelligent business process automation.
• Enterprise Agent Architecture: Implementation of a scalable agent architecture supporting Retrieval GenAI, task agents, autonomous agents, and multi-agent orchestration integrated with enterprise systems and APIs.
• Multi-Agent Orchestration Framework: Design of orchestrators, shared memory, connectors, and GraphRAG-based knowledge retrieval patterns enabling scalable collaboration between multiple AI agents across enterprise workflows.
• Agent Governance and Responsible AI Controls: Implementation of governance frameworks including identity and access controls, monitoring, auditing, lifecycle management, and Responsible AI safeguards for enterprise AI adoption.
• Integration with Microsoft 365 Copilot: Configuration of agents to surface directly within Microsoft 365 Copilot experiences, enabling users to access enterprise automation capabilities through familiar productivity tools.

Typical Implementation Approach

Phase 1 — Envision

• Analyze business processes and identify automation opportunities for Retrieval GenAI, task agents, and knowledge assistants.
• Define high-level architecture for enterprise agents using Copilot Studio and Microsoft AI Foundry.
• Create an AI agent opportunity map and transformation roadmap.

Phase 2 — Enable

• Configure governed Copilot Studio and Power Platform environments.
• Implement connectors, semantic indexing, and enterprise knowledge grounding.
• Deploy initial declarative agents and task automations.

Phase 3 — Build & Extend

• Develop validated agent workflows and integrate enterprise systems and APIs.
• Implement human-in-the-loop validation and monitoring.
• Deliver MVP solutions for task agents and autonomous agents.

Phase 4 — Operate & Evolve

• Deploy multi-agent orchestration frameworks with monitoring and analytics.
• Enable shared memory, collaboration tools, and lifecycle management for enterprise agents.
• Continuously enhance agents and expand automation scenarios across business units.

Expected Outcomes

• Reduced effort to build enterprise automation capabilities using low-code and pro-code agents.
• Faster knowledge retrieval and workflow automation across Microsoft 365.
• Improved onboarding and employee productivity through AI-powered assistants.
• Scalable enterprise AI platform built with Copilot Studio and Microsoft AI Foundry for long-term AI innovation.