What challenges did SimCorp face before AI implementation?

Need to incorporate AI and agentic workflows into regulated, global investment operations while maintaining consistent governance, auditability, and security controls across regions. Decision latency needed to improve and pilots were hard to govern at scale.

What was the impact of the AI solution?

Customers reported 134% ROI over 3 years. Up to 45% better operational efficiency. Saving up to 10 hours per person per week. Analytics that previously took minutes complete in seconds. Customers get to market 50–60 days faster by year 3.

Source

Microsoft

SimCorp operationalizes agentic AI on Azure Foundry Models and Agent Framework for governed investment workflows

Use case typeAgent orchestrationUpdated 2 days ago

SimCorp unified its SimCorp One platform on Azure to embed AI directly into global investment operations with governed, auditable intelligence at scale. The company standardized client tenants into a modular SaaS architecture on Azure and uses an AI Center of Enablement to define governance and evaluation criteria centrally. SimCorp embeds agentic AI with Azure OpenAI in Foundry Models and coordinates multi-step agents with Microsoft Agent Framework while maintaining identity, logging, monitoring, and security policies across regions.

Organization: SimCorp
Industry: Finance
Location: Denmark
Published: July 2026

Reported outcomes

134%

ROIOther quantified impact

45%operational efficiency10 hourstime saved per person per week50 daystime to market improvement by year 3

Strategic outcomes

Risk & complianceEmbedded governed AI across investment workflowsBetter decisions & insightAccelerated analytics and decision-makingScale & capacityScaled AI across regions and tenantsOther strategic outcomeReduced manual reconciliation effort

Primary read

Use case focus

Showing 3 of 3

1Agent orchestration
2Decision support
3Workflow automation

Need to incorporate AI and agentic workflows into regulated, global investment operations while maintaining consistent governance, auditability, and security controls across regions.
Decision latency needed to improve and pilots were hard to govern at scale.

Migrated data, not environments, by standardizing client tenants into a modular SaaS architecture on Azure.
Established a hub-and-spoke operating model anchored by an AI Center of Enablement with centrally defined governance standards, evaluation criteria, and a common AI stack.
Embedded agentic AI into investment workflows using Azure OpenAI in Foundry Models and orchestrated multi-step agents with Microsoft Agent Framework.
Standardized on Azure Kubernetes Service and automated pipelines for infrastructure, application services, configurations, and integrations.

Technologies

Azure OpenAI in Foundry Models Microsoft Agent Framework Azure Kubernetes Service Microsoft Foundry Azure

Customers reported 134% ROI over 3 years.
Up to 45% better operational efficiency.
Saving up to 10 hours per person per week.
Analytics that previously took minutes complete in seconds.
Customers get to market 50–60 days faster by year 3.

Architecture

SimCorp rebuilt client environments on a standardized SaaS architecture on Azure, using Azure Kubernetes Service for consistent production deployments, automated pipelines for provisioning, and an AI Center of Enablement to govern a common AI stack. Azure OpenAI in Foundry Models powers embedded AI and Microsoft Agent Framework coordinates multi-step agents under shared identity, logging, monitoring, and security controls.

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 10, 2026Publisher: MicrosoftEvidence: PrimaryConfidence: High

Primary source

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