MicrosoftLive sourceProductionEvidence: High85/100

HYPE revolutionized customer service with Dynamics 365

HYPE, a fintech company, significantly improved its customer service capabilities by integrating Microsoft's Dynamics 365 platform. By employing tools like Copilot in Customer Service and AI-powered agents developed through Copilot Studio, HYPE automated various processes such as email segmentation, self-service workflows (e.g., freezing lost cards), and customer onboarding. These changes resulted in a 70% reduction in human intervention and improved first call resolution rates to 90%. Additional features like AI-generated case summaries and conversation assistance halved the resolution times for WhatsApp interactions. Also, unified routing in Dynamics 365 enhanced the workflow efficiency, enabling faster customer resolutions.

Organization
HYPE
Industry
Finance
Location
Italy
Published
April 2025

Reported outcomes

+90%

quantified impactOther quantified impact

−70%quantified impact

Strategic outcomes

Customer experience & trustImproved omnichannel customer serviceNew product / capabilityAutomated customer self-service workflowsSpeed & agilityFaster resolution of chat interactionsScale & capacityReduced human intervention in support
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 70% decrease

microsoft.comApr 28, 2025Customer storyInferred claimHigh evidence strength

Reduced human intervention in customer service by 70%

Last evidence check: Jul 22, 2026

Normalized claim

Quantified impact: 90% increase

microsoft.comApr 28, 2025Customer storyInferred claimHigh evidence strength

Increased first call resolution rate to 90%

Last evidence check: Jul 22, 2026

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
HYPE
Provider
Microsoft
Maturity
Production
Linked source
microsoft.com

Fragmented CRM tools hindered access to comprehensive customer data High daily volume of support requests: 45% via email, 40% via chat & WhatsApp, 15% via calls Manual handling of repetitive inquiries increased human workload Slow resolution times for WhatsApp and other chat interactions Difficulty maintaining omnichannel customer experience Regular need to escalate customer issues due to incomplete context Implemented Dynamics 365 unified CRM platform Deployed Copilot in Customer Service for AI

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 5

  • 1AI-powered email segmentation and automated responses
  • 2Self-service customer workflows (e.g., freezing lost cards) using voice and chat agents
  • 3Automated customer onboarding via in-app agent
  • Fragmented CRM tools hindered access to comprehensive customer data
  • High daily volume of support requests: 45% via email, 40% via chat & WhatsApp, 15% via calls
  • Manual handling of repetitive inquiries increased human workload
  • Slow resolution times for WhatsApp and other chat interactions
  • Difficulty maintaining omnichannel customer experience
  • Regular need to escalate customer issues due to incomplete context
  • Implemented Dynamics 365 unified CRM platform
  • Deployed Copilot in Customer Service for AI-powered assistance
  • Developed custom AI agents with Copilot Studio for email segmentation, customer self-service, and onboarding
  • Automated case creation from emails, calls, and WhatsApp into CRM
  • Integrated generative AI for conversation and case summaries
Technologies
  • Reduced human intervention in customer service by 70%
  • Increased first call resolution rate to 90%
  • Halved resolution times for WhatsApp conversations
  • End-of-day customer chat queues consistently at zero
  • Improved data accessibility for faster, more effective resolutions
Sources & evidence2
Evidence: High85/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
  • Multiple corroborating sources available
  • Recent evidence check available
  • Last evidence check: Jul 22, 2026.
Live sourceStill referenced

The case's original source is still reachable.

  • Cited source last checked Jun 12, 2026 — ok (0/2 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Customer StoryPublished: Apr 28, 2025Publisher: microsoft.comEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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