Lenovo is scaling artificial intelligence across its global customer support operations, using AI automation across 98 percent of more than 9.6 million weekly support interactions as it shifts from traditional reactive customer service toward predictive and increasingly autonomous support.
The transformation provides a large-scale example of how enterprises can deploy agentic AI beyond isolated chatbots and copilots. Lenovo manages more than 500 million customer interactions annually, including tens of millions of monthly queries, making its support organization a significant testing ground for AI-driven service orchestration.
Technology Business Research (TBR) report, Lenovo’s AI-Native Support Services Transformation, says enterprises face mounting pressure from increasingly complex IT infrastructure, higher customer expectations and shortages of skilled IT employees. TBR’s 2026 Infrastructure Strategy survey found 66 percent of respondents agreed or strongly agreed that most of their teams’ time is spent keeping up with day-to-day tasks.
Against this backdrop, Lenovo has developed an AI-native support model that connects customer engagement, diagnosis, predictive maintenance, field execution, knowledge management and supply-chain processes, Technology Business Research’s Angela Lambert and Ben Carbonneau said.
Lenovo AI Automation Covers 98% of Support Interactions
AI automation is now involved in 98 percent of Lenovo’s 9.6 million-plus weekly customer support interactions. The scale is significant because Lenovo handles more than 500 million interactions every year across different countries, languages, products and service channels.
At the center of the strategy is Lenovo’s Run with AI framework, which connects and automates workflows spanning customer engagement, intelligent diagnosis, predictive maintenance and supply-chain optimization.
The architecture incorporates unified knowledge management, AI agents, governance mechanisms and human-in-the-loop decision structures. Lenovo has also created a unified knowledge base containing more than 240,000 articles, converting distributed expertise into reusable information that can support customers and employees across countries and languages.
Lenovo Agent Assist Improves Efficiency 50%
Lenovo structures its AI support transformation around three phases: empowering support employees with AI-assisted expertise, delivering touchless resolution through AI-enabled execution, and moving from reactive support toward predictive service orchestration.
In Phase 1, which Lenovo calls the Assistive Era, AI operates as a cognitive multiplier for customer support agents and engineers. Its Autonomous Orchestration Grid brings together Agent Assist, copilots and unified knowledge management.
Lenovo says its Agent Assist capability provides real-time next-best-action recommendations during support calls. The technology has generated a 50 percent improvement in efficiency while reducing average handling time by 20 percent.
AI can also help employees retrieve relevant information, summarize cases, translate between languages and interpret customer intent. This allows experienced support specialists to spend more time dealing with complicated customer problems rather than routine information searches.
Self-Service Resolution Reaches 90%
Phase 2 represents what Lenovo calls the Touchless Era, where AI moves beyond assisting employees and begins executing customer-support processes.
Technologies include the Agentic Intelligent Resolver (AIR), Intelligent Voice Agent (IVA), automated warranty registration, AI-powered diagnosis and automated work-order creation.
Lenovo reports that self-service resolution has reached 90 percent in some areas without negatively affecting customer satisfaction. Chat transfer rates have fallen more than 40 percent, escalations have declined 70 percent, and average handling time has been cut by approximately four minutes.
These figures indicate that AI automation can potentially improve customer experience while reducing the amount of routine work requiring human intervention.
Agentic Intelligent Resolver Achieves 50% First-Contact Fix Rate
Lenovo’s AIR demonstrates how agentic AI can move further into issue resolution.
AIR has achieved a 50 percent first-contact fix rate, while transfers from the AI system to human support employees have remained below 5 percent.
Lenovo’s Intelligent Voice Agent has meanwhile achieved 97 percent intent-recognition accuracy and a 30 percent first-contact fix rate.
Lenovo describes the operating principle behind this stage as Touchless Resolution Elasticity, where more of the support lifecycle can be automated while complicated, sensitive or low-confidence cases continue to be transferred to people.
Lenovo Develops More Than 100 AI Agents
The third stage — the Autopilot Era — represents Lenovo’s move toward predictive and preventive customer support.
Rather than waiting for customers to report failures, Lenovo wants AI systems to identify risks and initiate actions before problems cause disruption.
Its Run with AI platform has consequently evolved through three generations. Run with AI 1.0 concentrated on high-volume customer-service interactions, Run with AI 2.0 expanded into broader service-delivery and internal-efficiency applications, and Run with AI 3.0 connects these AI capabilities through a unified orchestration layer.
Lenovo has already developed more than 100 AI agents supporting customer-service employees, engineers, internal teams and operations.
Device telemetry, anomaly detection and predictive analytics are being combined with agentic workflows so that potential problems can trigger actions across technical support, field service and supply chains.
AI Fraud Detection Accuracy Reaches 93%
Lenovo is also applying AI to field-service operations and fraud detection. Its AR/VR Repair Agent assists technicians during repair work, while AI systems help identify potentially unauthorized service activities.
The company reports 93 percent fraud-detection accuracy and a 10 percent improvement in repeat repair rate.
The model retains human oversight as automation increases. Lenovo uses defined autonomy boundaries, confidence thresholds, guardrails, compliance controls and explainability requirements to manage AI decision-making.
This governance layer becomes increasingly important as AI systems move from recommending actions to executing workflows independently.
Lenovo Cuts AI-Enabled Support Delivery Costs 15%
The financial impact of Lenovo’s AI transformation is becoming measurable.
Lenovo says its AI-enabled transformation has already reduced support-services delivery costs by 15 percent. The company expects the reduction to reach 40 percent by 2028, potentially representing a substantial further improvement in the economics of its global support organization.
However, the TBR analysis emphasizes that cost reduction is only one measure of AI transformation.
Other operational metrics include employee capacity, cost to serve, first-contact resolution, escalation rates, repeat incidents and field-service efficiency. Customer-focused measures include resolution speed, consistency, the number of interactions required to solve an issue and overall service disruption.
Lenovo Moves Customer Support From Reactive AI to Predictive AI
Lenovo’s three-stage strategy demonstrates an important evolution in enterprise AI deployment. AI initially assists people, subsequently executes defined workflows, and ultimately becomes an intelligence and orchestration layer capable of predicting and potentially preventing service problems.
Lenovo has already progressed well into the third phase and continues investing in automation and orchestration across additional service workflows.
The scale of the deployment — 98 percent of 9.6 million-plus weekly interactions, more than 500 million annual customer interactions, over 240,000 knowledge articles and more than 100 AI agents — makes Lenovo’s internal support operation a notable enterprise implementation of AI-native customer service.
More importantly, the operating results provide measurable evidence of the impact: 50 percent higher Agent Assist efficiency, 20 percent lower handling time, up to 90 percent self-service resolution, more than 40 percent fewer chat transfers, 70 percent fewer escalations, 93 percent fraud-detection accuracy and a 15 percent reduction in support delivery costs, targeted to reach 40 percent by 2028.
For CIOs and customer-service leaders, Lenovo’s experience suggests that the larger opportunity from AI may come not from adding individual AI tools to existing support processes, but from redesigning the entire service operating model around AI agents, automation, predictive intelligence, unified knowledge and human oversight.
RAJANI BABURAJAN
