T-Mobile

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T-Mobile has 4 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 3 countries. Key partners include Akvelon, KPMG.

Use Cases

4

Industries

3

Countries

3

Hyperscaler mix

See whether T-Mobile's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How T-Mobile builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

3 of 4 cases classified (75%) · Compare all use-case types

Use case portfolio

Use case types at T-Mobile

Business process automation leads with 1 of 4 documented cases; 4 distinct types appear across the visible portfolio.

Reported outcomes

2 cases report measurable results

+150%

Revenue & growth

median · 3 metrics

−70%

Time & speed

median · 2 metrics

−64%

Automation & deflection

median · 2 metrics

Medians of results published in T-Mobile cases, normalized for comparability. See all benchmarks →

Evidence persistence

4 of 4 judgeable cases are still publicly referenced · 3 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What T-Mobile uses across visible cases

AI Agents appears in 2 of 4 indexed cases; 20 named technologies are mentioned, led by Power Apps.

All Use Cases (4)

Microsoft

Retailers boost efficiency and service through AI-powered automation

Akvelon, a Microsoft partner, leverages Dynamics 365 and Azure AI to transform retail operations with advanced forecasting, marketing personalization, and asset tracking. Their projects focus on optimizing finance and operations, enhancing accessibility, and implementing robust CI/CD for continuous delivery and improved app performance.For T-Mobile and other retailers, Akvelon's solutions cover demand forecasting, personalized campaign management, customer journey customization, and real-time asset tracking for greater operational efficiency.Generative AI chatbots are deployed for 24/7 customer service, reducing support costs and improving customer experience. Teams employ AI and DevOps methodologies to introduce efficiency gains into the pipeline, improve infrastructure health, and decrease resolution times.The collaboration with Microsoft includes scaling Dynamics 365 for accessibility and global use, as well as upgrading infrastructure for more resilient, accessible, and inclusive systems.AI/ML-driven analytics and automation elevate decision making, while streamlined QA/testing lowers costs and accelerates product releases. The combination of AI innovation, DevOps, and automation drives higher operational performance and customer satisfaction.Akvelon’s international reach and focus on retail modernization is supported by close partnership with Microsoft to deliver state-of-the-art retail technology solutions.

RetailGlobal
Microsoft

T-Mobile revolutionizes initiative approvals across departments

T-Mobile, one of the largest wireless carriers in the US, faced significant bottlenecks in initiative approvals due to complex, multi-departmental workflows and lack of a centralized system. Relying on tools like Excel, the manual process was slow, cumbersome, and error-prone.To overcome these obstacles, T-Mobile adopted Microsoft Power Platform, building the 'Orbit App' using Power Apps (canvas and model-driven), Power Automate, Power BI, Dataverse, and Microsoft Teams integration. The application centralized all initiative requests, approvals, and documentation, supporting executive, project member, and team lead collaboration.The app supports a multistage approval process, with input forms that dynamically adjust based on the type of promotion or initiative. Data-driven dashboards, embedded Power BI analytics, and adaptive Teams cards enhance visibility and process flow.Orbit scaled to accommodate a 150% annual growth in initiatives, especially following T-Mobile's acquisition of Sprint. The integration of RPA via Power Automate facilitated real-time synchronization of disparate systems. Role-based security and permissions provide granular control.Since the rollout, error rates dropped from 7% to 0%, process throughput improved 11x, and the organization saved $4M and over 97,000 hours.The solution also enabled rich document management, secure attachments, versioning, and automated workflow triggers.Orbit has been available to over 40,000 T-Mobile employees, with 250+ daily users and up to 600+ active each month. The initiative illustrates how low-code platforms can enable both professional and citizen developers to rapidly build and maintain mission-critical workflows.The Orbit solution’s architecture leverages custom connectors and Dataverse APIs to blend both canvas and model-driven app benefits in a single cohesive solution.

Tech & Comms

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