MicrosoftEvidence: Low35/100

Userlane Collaborates with Microsoft to Deliver AI Agentic Assistance Integrated in Microsoft 365 Copilot

Updated Jun 13, 2026

Userlane, a Digital Adoption Platform company based in Germany, developed an enterprise-grade AI Assistant integrated directly within Microsoft 365 Copilot and powered by Microsoft Azure AI Foundry, Azure OpenAI, Azure Kubernetes Service, and Azure Database for PostgreSQL. This AI agentic assistance helps enterprises handle complex software processes, reduce digital friction, improve software adoption, and cut costs related to training and support. Customer BayernLB increased software adoption in Microsoft Dynamics 365 by 87%, enhancing employee productivity and experience.

Organization
Bayer
Industry
Tech & Comms
Location
Germany
Published
July 2025

Reported outcomes

Adoption: +87%

Adoption & scale

Catalog median for adoption & scale deployments: +250% across 8 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 87% increase

Userlane BlogJul 28, 2025Blog postInferred claimLow evidence strength

Customer BayernLB achieved an 87% increase in software adoption in Microsoft Dynamics 365.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Bayer
Provider
Microsoft
Maturity
Unknown
Linked source
Userlane Blog

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated
  • Userlane collaborated with Microsoft to build an AI Assistant embedded within enterprise software using Azure AI Foundry, Azure OpenAI, Kubernetes, and database services.
  • The assistant provides contextual, proactive guidance across multiple software applications to reduce complexity and improve software usage.
  • Customer BayernLB achieved an 87% increase in software adoption in Microsoft Dynamics 365.
  • Substantial reductions in training and support costs were realized while employee productivity and experience improved.
Sources & evidence1
Evidence: Low35/100Evidence strength
  • Customer explicitly identified
  • Quantified outcome available
  • Technical implementation details available
Type: Blog PostPublished: Jul 28, 2025Publisher: Userlane BlogEvidence: VendorConfidence: Medium

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