Normalized claim
Time: 75% decrease
action-taking time cut by up to 75% across certain processes
Eczacıbaşı Holding scales AI agents with Copilot Studio and Azure AI Foundry (Mission AI)
Use case typeAI agentsUpdated Jul 9, 2025
Across a diversified portfolio, AI efforts at Eczacıbaşı Holding were siloed, with fragmented tools, manual workflows, and limited sharing of best practices, restricting enterprise-wide scale and impact. The enterprise launched “Mission AI” using Microsoft Copilot Studio and Microsoft Foundry to unify development, enabling global teams to build and scale 27 high-impact AI agents via a structured and inclusive approach. In key business units, decision cycles fell from up to two weeks to under three days, while action-taking time in specific operational contexts was cut by up to 75%, generating €3.8M in projected value and freeing 5,000 hours annually.
- Organization
- Eczacıbaşı Holding
- Industry
- Other
- Location
- Turkey
- Published
- July 2025
Reported outcomes
Time: Up to 75% lower
Time & speed
Time: 5 hours
Planned next steps
- 27 finalized agents are projected to contribute approximately €3.8 million in annual financial value
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 5 hours
nearly 5,000 hours of operational capacity released each year
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Eczacıbaşı Holding
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft Customer Stories
In key business units, decision cycles fell from up to two weeks to under three days, while action-taking time in specific operational contexts was cut by up to 75%, generating €3
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1AI agents
- 2Workflow automation
- 3Decision support
- Launched Mission AI as a group-wide transformation initiative to standardize and scale AI adoption
- Used Microsoft Copilot Studio for low-code agent development alongside Microsoft Foundry and Azure AI Services
- Enabled employee teams to develop custom AI solutions with governance, acceleration support, and technical coaching
- Turned 358 applicant ideas into 58 project ideas selected for development and completed 27 prototypes, including agents for supply chain, logistics, corporate communications, and marketing
- Decision cycles reduced from up to two weeks to under three days in supplier risk management
- action-taking time cut by up to 75% across certain processes
- nearly 5,000 hours of operational capacity released each year
- MareXis saved the equivalent of 16 working days per month in maritime logistics and generated approximately €48,000 in annual savings
- PDF2Order is expected to automate 30,000 orders annually and avoid €35,000 in external licensing costs
Architecture
Mission AI used a structured enterprise pipeline with Copilot Studio and Microsoft Foundry backed by Azure AI Services and Azure OpenAI in Foundry Models. Teams could build low-code or more customizable AI agents, with governance, acceleration support, and technical coaching. The program also planned further integration into SAP, CRM, and ERP systems.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Published: Jul 9, 2025Publisher: Microsoft Customer Stories
AI-generated summary. Verify important details with the linked sources before relying on this case.
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