T-Mobile
5 documented AI deployments at T-Mobile, across 3 industries. Each one links to the public source it was taken from.
Public AI record
T-Mobile has a public AI record score of 66, where 50 is typical for companies on the hub. It is ahead of 81% of companies on evidence. Shopping recommendations and retail analytics platform are common among peers but not yet documented at T-Mobile.
- BreadthHow many different kinds of use case, across how many business areas78
- DepthShare running in production or at scale rather than pilots50
- SophisticationAgentic share and innovativeness rating78
- EvidenceShare backed by the company's own sources and measured results81
- MomentumHow recent the cases are; older cases count less45
How the score works
First documented case Jan 2023, latest May 2025. No new deployment documented since May 2025. Cloud providers named: Microsoft.
Compared with peers
Against 9 other retail companies on the hub.
What peers document
- Shopping recommendations4 of 9 peers44%
- Retail analytics platform3 of 9 peers33%
- Conversational support2 of 9 peers22%
- Customer personalization2 of 9 peers · here too22%
Gaps against the industry
- Shopping recommendations: 44% of peers, not documented at T-Mobile yet
- Retail analytics platform: 33% of peers, not documented at T-Mobile yet
Signature use cases
No peer on the hub documents business process automation or onboarding automation.
Stack and approach vs peers
- Peer cases name Microsoft 66%, GCP 26%, AWS 8%.
- AI agents: 60% of T-Mobile's cases vs 32% for peers.
- Cases from the last 12 months: 0% vs 19% for peers.
Deployments
5 deployments at T-Mobile, newest first.
- 19 May 2025Tech & CommsUnited States
Organizations Streamline Workflows and Innovation with Domain-Tuned AI Agents
Wells Fargo · Onboarding automation · Microsoft
Microsoft announced new Copilot Tuning and multi-agent orchestration in Microsoft 365 Copilot Studio, empowering organizations to build and fine-tune AI agents using domain-specific data, workflows, and processes. The low-code tools let non-data scientists create, deploy, and rapidly update custom AI agents. The release includes multi-agent orchestration, allowing agents to collaborate on complex cross-departmental workflows, such as onboarding and support, and integration with Azure AI Foundry so users can bring their models. Noteworthy customer examples: Wells Fargo reduced bankers' search time by 95% (10 min to 30 sec) via an agent serving 35,000 staff; T-Mobile uses agents to aggregate product data from over 20 sources instantly; HCLTech accelerated case resolutions by 40% and redeployed 30% of a 500-strong support team. Security and compliance are ensured via Microsoft Entra Agent ID and Microsoft Purview Information Protection. The ecosystem includes an Agent Store for discovery, a Teams AI library for multi-agent communications, and pro-code/low-code developer tools.
Multi-agent
↓ 30 stime - 28 Apr 2025Professional ServicesUnited Kingdom
Global Enterprises Accelerate Productivity and Efficiency with AI Agents
Atomicwork · Customer support automation · Microsoft
This article explores how a range of leading companies are deploying Microsoft AI technologies—especially agentic AI and Copilot Studio—to drive transformation across industries. Atomicwork achieved a 65% deflection rate by automating digital workplace support while BDO Colombia halved operational workloads through a finance-specific Copilot agent. Dow automated global shipping invoice analysis with Copilot Studio agents, leading to millions in savings, and Eneco Belgium improved their customer chatbot’s conversation handling by 140%. Estée Lauder designed a marketing insight agent to make trend data instantly available, and Fujitsu deployed AI-driven sales automation with a 67% productivity boost. Grupo Bimbo adopted Power Platform to automate thousands of apps and processes, substantially reducing operational overhead. KPMG used AI for compliance automation, Virgin Money introduced a customer-facing digital agent, and Wells Fargo’s internal Teams agent cut response times dramatically. These real-world implementations showcase measurable improvements in efficiency, customer experience, and decision-making, all powered by Microsoft’s AI ecosystem.
Multi-agentProduction
+140%quantified impact - 1 Jan 2025RetailUnited States
T-Mobile Empowers Retail Customer Service with AI-Powered PromoGenius App
T-Mobile · Customer service automation · Microsoft
T-Mobile built PromoGenius, a Power Apps canvas app with an embedded Copilot Studio agent, to give retail customer service representatives instant access to device promotions and technical details from internal sources and more than 20 manufacturer websites. The solution consolidates promotional data, supports natural language queries and product comparisons, and presents results in a shareable format for retail floor and call center use.
Agentic
500Klaunches per month · monthly launches - 4 Oct 2024RetailGlobal
Retailers boost efficiency and service through AI-powered automation
T-Mobile · Customer personalization · Microsoft
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.
Production
- 2 Jan 2023Tech & CommsUnited States
T-Mobile revolutionizes initiative approvals across departments
T-Mobile · Business process automation · Microsoft
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.
Scaled Production
11×quantified impact
What it builds
Business process automation is the most common pattern in these deployments: 1.
Cloud providers named
Microsoft is named in 5 of these deployments.
- Microsoft100% of these5