Lenovo: Structured AI Adoption Model Lifts Daily Copilot Use to 91%

Why access alone was not enough

According to Lenovo, giving employees access to AI is a necessary step but does not ensure they will use it consistently, apply it to work that matters or keep new habits after the initial launch. The company met this problem while introducing AI tools across its global workforce. Generic training could not cover the needs of every role and function, and early activity did not always turn into lasting adoption.

In some early deployments, broad executive communications were followed quickly by training and launch. Managers had little time or practical guidance to prepare their teams, even though employees looked to them to explain why the change mattered and where AI could help. Linda Yao, Vice President, SSG Hybrid Cloud and AI Solutions at Lenovo, said: "Managers are uniquely positioned to inspire employees, reinforce culture, surface potential barriers and help us capture AI value."

A three-phase model

Through its Lenovo Powers Lenovo program, the company brought together change practitioners, learning and development experts, AI specialists and employees with experience in finance, sales, customer support and delivery. The team used Prosci ADKAR as a foundation, combined it with Lenovo's own transformation experience and developed an adaptable model with three connected phases:

• Prepare: define objectives, assess readiness and involve managers early.
• Enable: provide role-relevant communications, training, hands-on learning and champion support.
• Reinforce: track usage and business value, gather feedback and address barriers over time.

Lenovo refined the model across successive internal initiatives. For the internal deployment of Lenovo Knowledge Super Agent, the team used a phased rollout, persona-based enablement, manager engagement, a champion network and adoption dashboards. That deployment eventually reached approximately 3,000 Lenovo employees. With Microsoft 365 Copilot, hands-on "prompt-a-thons" helped employees apply the tool to their own work instead of learning through generic demonstrations.

Three principles emerged: involve managers before training and launch, tailor support to roles and everyday tasks, and use adoption and business-value data to keep improving the rollout.

The internal comparison

Lenovo then tested the full approach in a measured internal comparison. One cohort received Microsoft 365 Copilot licenses without tailored adoption support. Another received the technology together with role and use-case guidance, tailored training, manager involvement and continued feedback.

According to Lenovo, the results were as follows:

• Daily Copilot use reached 91% in the supported cohort, compared with 67% in the license-only cohort, a 36% increase.
• Employees with structured support saved 3.5 hours per person each week, compared with 1.8 hours in the license-only group.
• Satisfaction rose from 3.67 to 4.27 out of five.
• The issue rate fell from 33% to 18%.

Lenovo concludes that the model improved more than initial engagement, helping employees fold AI into everyday work, save more time and meet fewer obstacles.

Now offered as a service

Lenovo has turned the internally tested model into Lenovo AI Adoption and Change Management Services. The modular services help organizations assess readiness, plan for change, prepare managers and users, measure progress and reinforce adoption after launch. As part of Lenovo Hybrid AI Advantage, they can also help customers deploy and sustain AI solutions, including validated agents and enterprise use cases available through the Lenovo AI Library.

For organizations that have bought AI licenses, the figures are Lenovo's own and come from an internal comparison, but they point to where the company sees the gap: not in access to tools, but in manager involvement, role-specific support and ongoing measurement after launch.