Lenovo
5 documented AI deployments at Lenovo, across 3 industries. Each one links to the public source it was taken from.
Beijing, People's Republic of China · Founded 1984 · 77,000 employees (2023) · lenovo.com · WikipediaSource: Wikidata, 2026-11-01
Public AI record
Lenovo ranks 3rd of 5 tech & comms companies on the hub with a public AI record score of 57. It is ahead of 82% of companies on depth, but behind most on momentum. Customer personalization is a use case no peer on the hub shows.
Nearest peers: Fujitsu 1st, 73 · Vodafone 2nd, 67 · NTT DATA 4th, 55 · Deutsche Telekom 5th, 47
- BreadthHow many different kinds of use case, across how many business areas67
- DepthShare running in production or at scale rather than pilots82
- SophisticationAgentic share and innovativeness rating36
- EvidenceShare backed by the company's own sources and measured results73
- MomentumHow recent the cases are; older cases count less26
How the score works
First documented case May 2024, latest Jun 2025. No new deployment documented since Jun 2025. Cloud providers named: Microsoft.
Compared with peers
Against 14 other tech & comms companies on the hub.
What peers document
- Customer service automation7 of 14 peers · here too50%
- AI development platform3 of 14 peers · here too21%
- Workflow automation3 of 14 peers21%
- Workflow orchestration3 of 14 peers21%
Signature use cases
No peer on the hub documents customer personalization or supply chain forecasting.
Stack and approach vs peers
- Peer cases name Microsoft 65%, GCP 27%, AWS 15%.
- AI agents: 20% of Lenovo's cases vs 58% for peers.
- Cases from the last 12 months: 0% vs 39% for peers.
Deployments
5 deployments at Lenovo, newest first.
- 25 Jun 2025LogisticsGlobal
Maersk and Lenovo enhance supply chains with AI for forecasting and risk management
Maersk · Supply chain forecasting · Microsoft
Multiple leading companies such as Maersk and Lenovo have adopted Microsoft AI technologies to automate and optimize supply chain processes. Integrating Dynamics 365 Supply Chain Management with Copilot, Azure AI services, chatbots, and IoT enables precise forecasting, real-time routing, automated supplier communications, and risk analysis. These solutions addressed challenges including procurement automation, inventory optimization, and proactive supplier negotiations. Maersk uses AI-powered chat interfaces for supplier negotiations, while Lenovo deploys AI to assess risk and predict delivery delays. These implementations drove substantial efficiency gains, reduced costs, and significantly improved forecast accuracy across logistics networks.
Production
−30%quantified impact - 18 Jun 2024Tech & CommsChina
Lenovo boosts contact center productivity and customer satisfaction with AI-powered omnichannel chat
Lenovo · Customer support automation · Microsoft
Lenovo, a global technology company, faced the challenge of delivering fast and effective 24/7 support across various languages in its contact centers. By deploying Microsoft Copilot in Dynamics 365, Lenovo created an AI-powered omnichannel chatbot capable of handling customer queries in nine languages, offering real-time translations and AI-suggested responses. Premier Support agents review and refine these AI suggestions, with their feedback improving system performance. Strong emphasis on security, role-based access controls, and content moderation ensured data safety. Automated post-call summarization and sentiment analysis further improved productivity and customer experience. As a result, agent productivity increased by 15%, average handle time decreased by 20%, and customer satisfaction rose to 95%. Lenovo integrated business and digital teams early in the planning and transformed contact center operations by focusing on practical AI use cases. The project positioned Lenovo among the top users of Copilot for Dynamics 365, rapidly elevating support quality and agent efficiency.
Scaled Production
+95%quantified impact - 29 May 2024Professional ServicesUnited States
Lenovo automates customer service and marketing with AI agents
Lenovo · AI platform · Microsoft
McKinsey and Microsoft have expanded their collaboration to accelerate the adoption of generative AI-powered agents in enterprise operations. By leveraging Microsoft Copilot Studio and Azure AI, McKinsey is developing Copilot agents aimed at transforming business processes and boosting efficiency across industries. Notably, Lenovo, a McKinsey client, is already experiencing double-digit productivity gains in customer service, with significant reductions in call handling time. Marketing teams have realized up to a 90 percent decrease in the time taken to generate pitch books. The implementation approach brings together McKinsey’s expertise in digital strategy and Microsoft’s Copilot Studio technology, creating tailored AI agents to automate complex workflows. The solution also supports human-AI collaboration, redirecting employees to higher-value activities and enabling holistic end-to-end process automation. The initiative focuses on developing tailored agent playbooks with enterprise adoption in mind, scaling up successful pilot programs, and changing how organizations approach workflow automation. The alliance underpins a shift to virtual workers, with agents that can collaborate with employees and each other, impacting areas such as HR, finance, and customer service. Broad economic studies cited in the article project trillions in potential value generation by scaling automation and gen AI capabilities.
Multi-agentProduction
- 10 May 2024Tech & CommsChina
Lenovo Boosts Customer Service and Operations with AI-Driven Transformation
Lenovo · AI platform · Microsoft
Lenovo launched the Lenovo Powers Lenovo initiative, leveraging advanced AI and Microsoft technologies to transform internal operations and customer service processes. The company adopted a comprehensive approach, focusing on AI-readiness across security, people, technology, and process pillars for impact at scale. Large Language Models and Copilot for Microsoft 365 were deployed to automate repetitive tasks for knowledge workers, marketing, and sales teams, enabling personalized, faster content creation. AI and automation were integrated into IT operations, resulting in significant productivity improvements and reduction in manual work. AI solutions in the contact center led to faster customer support and decreased handle times, enhancing the experience for thousands of users globally. The transformation extended to environmental, social, and governance (ESG) reporting, where time to insight improved dramatically, and sustainability goals were advanced through device refurbishment analytics. Tangible, data-driven impact includes substantial efficiency gains in production scheduling, supply chain, and knowledge worker output.
Scaled Production
+116%quantified impact - Tech & CommsUnited States
DeepBrain AI Transforms Customer Service with Photo-Realistic Avatars
DeepBrain AI · Customer personalization · Microsoft
DeepBrain AI, based in Palo Alto, developed groundbreaking photo-realistic AI avatars used in customer service, retail, finance, education, and media sectors. Starting as a chatbot provider, the company evolved to create conversational and multilingual avatars for interactive use cases such as AI retailers, bankers, and tutors, backed by Azure AI. Their modern stack includes Azure OpenAI Service for language models, Azure Cognitive Services for speech and translation, and Azure Kubernetes Service for scaling and orchestration. Lenovo and SK Telecom are among the leading brands leveraging these avatars to improve customer engagement and reduce operational burdens. DeepBrain AI's solutions offer automated video, interview, and customer service functions, allowing for swift deployment and significant automation of previously manual tasks. The company benefited from Microsoft's Founders Hub Pegasus Program, securing Azure credits and global exposure through the Azure Marketplace. Partnering with Microsoft enabled DeepBrain AI to rapidly scale, innovate, and attract investment, establishing them as a leader in AI-powered customer experience.
Production
What it builds
AI platform is the most common pattern in these deployments: 2.
Cloud providers named
Microsoft is named in 5 of these deployments.
- Microsoft100% of these5