Normalized claim
Time: 10-15% decrease
Reduced average customer query response times by over 66% (from 45 minutes to 10-15 minutes).
Last evidence check: Jul 22, 2026
Nationwide boosts efficiency with Azure AI in customer service
Use case typeCustomer communication automationUpdated Jun 13, 2026
Nationwide has successfully adopted Microsoft Azure OpenAI to revolutionize its customer service. By integrating AI, Nationwide reduced customer query response times from 45 minutes to as little as 10-15 minutes. This improvement exemplifies the company's commitment to ethical AI use and personalized customer experiences.
- Organization
- Nationwide
- Industry
- Finance
- Location
- United Kingdom
- Published
- January 2025
Reported outcomes
10-15 minutes
timeTime & speed
10-15%time
Strategic outcomes
Speed & agilityFaster customer query responsesEmployee experienceFreed employees for complex queriesScale & capacityServed customers more efficiently at scaleRisk & complianceEstablished responsible AI governance
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 10-15 minutes decrease
Reduced average customer query response times by over 66% (from 45 minutes to 10-15 minutes).
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Nationwide
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- Microsoft UK Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1Automated Customer Correspondence Generation using Azure OpenAI GPT-4
- 2AI-powered Query Triage and Resolution in Customer Service
- 3Centralized Customer Data Analytics for Personalized Interactions
- Customer query response times averaged 45 minutes, leading to frustration.
- Employees spent significant time on repetitive, manual drafting of customer communications.
- Difficulty accessing unified customer data due to fragmented legacy systems and multiple mergers (over 250 societies merged).
- Balancing rapid AI adoption with ethical, responsible AI use requirements.
- Implemented Microsoft Azure OpenAI with GPT-4 for dynamic letter generation and query response.
- Centralized data assets using Azure and unified analytics with Azure Databricks and Teradata VantageCloud.
- Established an AI Centre of Expertise and an AI Council to ensure responsible, ethical AI deployment.
- Integrated human-in-the-loop processes for all GenAI outputs to maintain quality and trust.
Technologies
- Reduced average customer query response times by over 66% (from 45 minutes to 10-15 minutes).
- Freed up employees to focus on complex queries, improving job satisfaction and service quality.
- Supported around 17 million customers more efficiently across 600+ branches.
- Achieved and maintained top ranking in the 2024 UK Customer Satisfaction Index.
Sources & evidence2
Evidence: Medium70/100Evidence strength
- Customer explicitly identified
- 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: Jan 21, 2025Publisher: Microsoft UK StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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