Reported impact
Business outcome
To deliver on this commitment, AT&T is driving its business forward and finding ways to increase operational efficiency. AT&T is using
- Cost Reduction
- Productivity Improvement
MicrosoftTelecommunicationsIT Operations AutomationApplication ModernizationGenerative AI / LLMCost ReductionProductivity Improvement2023 MicrosoftMS#0078d4TelecommunicationsUnited StatesAT&T's purpose is to create connection to friends, family, work, commerce, education, health, entertainment and more. To deliver on that purpose, the company is exploring how to use technology to help automate some…May 18, 20234IT Operations AutomationAzure · Azure OpenAI Service0 2023-05-18 4
AT&T
IT Operations Automation
AT&T's purpose is to create connection to friends, family, work, commerce, education, health, entertainment and more. To deliver on that purpose, the company is exploring how to use technology to help automate some business processes to improve employee and customer experiences. AT&T has started using Azure OpenAI Service to accelerate this automation so its employees can be more productive and provide customers with the service they expect. By using Azure and AI technologies, the company can automate IT tasks and provide employees with fast answers to basic human resource requests, leading to increased efficiency, improved work life, and reduced costs.
Solution
AT&T's purpose is to create connection to friends, family, work, commerce, education, health, entertainment and more. To deliver on that purpose, the company is exploring how to use technology to help automate some business processes to improve employee and customer experiences. AT&T has started using Azure OpenAI Service to accelerate this automation so its employees can be more productive and provide customers with the service they expect. By using Azure and AI technologies, the company can automate IT tasks and provide employees with fast answers to basic human resource requests, leading to increased efficiency, improved work life, and reduced costs.
Solution architecture
- Azure
- Azure OpenAI Service
Evidence from the source
AT&T's purpose is to create connection to friends, family, work, commerce, education, health, entertainment and more. To deliver on that purpose, the company is exploring how to use technology to help automate some business processes to improve employee and customer experiences. AT&T has started using Azure OpenAI Service to accelerate this automation so its employees can be more productive and provide customers with the service they expect. By using Azure and AI technologies, the company can automate IT tasks and provide employees with fast answers to basic human resource requests, leading to increased efficiency, improved work life, and reduced costs.
Jon Summers, Chief Information Officer, AT&T
To deliver on this commitment, AT&T is driving its business forward and finding ways to increase operational efficiency. AT&T is using
“We think there's a big upside potential for Azure OpenAI Service to help us improve employee experiences, enhance customer interactions, and drive more efficiency within our developer community.”
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value45/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth0/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity20/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact0/250 metrics describe measurable impact.
- Deployment scale5/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence81%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/204 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity2/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.microsoft.com/en/customers/story/1637511309136244127-att-telecommunications-azure-openai-serviceMicrosoftFirst-party
AT&T customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page May 18, 2023 · Microsoft · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
Related
Similar use cases
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