All Case StudiesCloud · Enterprise AI

Microsoft Foundry AI Platform

A global enterprise transformed into an AI-enabled organization. 70% fewer manual workflows built on Microsoft Foundry.

Client

Global Enterprise, Operations Function

Industry

Enterprise Automation & AI

Duration

7 months

Year

2024

Agent operations console on Microsoft Foundry: domain agents per department, document intelligence queue and governance boundary

Background

A global enterprise operations team was spending thousands of man-hours each month on repetitive document processing, manual data analysis, and fragmented decision workflows. Leadership recognized that AI adoption was critical to maintaining competitive velocity but lacked the technical foundation and governance framework to deploy AI safely at enterprise scale.

The Challenge

The organization needed an intelligent AI ecosystem capable of automating workflows, analyzing enterprise data, improving decision-making, and enabling AI-driven business operations securely at scale. Existing tools were disconnected, governance for AI usage was absent, and employees lacked the AI-enabled tooling to operate at the speed the business demanded.

Our Solution

SageWare implemented an enterprise automation platform on Microsoft Foundry (formerly Azure AI Foundry) integrating AI agents, enterprise copilots, workflow intelligence, cloud AI services, and secure data orchestration. We established an AI governance framework, connected enterprise data through Microsoft Fabric, and deployed Copilot Studio agents tailored to each operational domain, all within Azure's compliance and security boundaries.

Key Deliverables

  • Microsoft Foundry platform with domain-specific AI agents per operational department
  • Azure OpenAI-powered intelligent document processing eliminating manual review workflows
  • Enterprise AI governance framework with full audit trails within Azure compliance boundaries
  • Microsoft Fabric data pipelines unifying enterprise data for AI-driven decision intelligence

Results & Impact

Traced
Every agent action
Back to a prompt, a tool call and a person, so an outcome can be explained after the fact
In-tenant
Governance boundary
Models run inside the organisation's own compliance boundary rather than beyond it
Per-domain
Agent scope
Each agent bounded to the domain it was built for, rather than one assistant over everything

How We Did It

01

AI Readiness Assessment

Audited existing workflows, identified automation opportunities, and designed the AI governance and data orchestration framework.

02

Platform Architecture

Configured the Microsoft Foundry environment, established Microsoft Fabric data pipelines, and designed Copilot Studio agent architecture.

03

Agent & Copilot Build

Developed domain-specific AI agents, integrated Azure OpenAI for document intelligence, and built enterprise copilot workflows per department.

04

Governance & Rollout

Deployed AI governance controls, conducted organization-wide training, and executed phased rollout with hypercare support.

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