Most organisations failing to redesign digital workplaces to accommodate AI

Despite widespread recognition that digital workplaces are critical to successful AI adoption, only 10 percent of organisations have fundamentally redesigned their working environments to accommodate the technology, according to new polling from Lenovo. The findings suggest that businesses are investing heavily in AI without making the organisational and operational changes needed to realise its full potential.

The sixth edition of Lenovo’s Work Reborn research series, entitled The AI-ready workplace, claims that 80 percent of IT decision makers regard the digital workplace as essential to AI-led transformation, while 76 percent rank AI among their organisation’s leading IT priorities. However, just 27 percent have successfully scaled AI across business functions, exposing a substantial gap between the ambition to deploy the technology and the ability to integrate it into everyday working practices.

The research, based on a survey of 1,200 IT leaders at organisations employing at least 1,000 people across 12 countries, suggests that the principal barriers to AI transformation extend beyond technology investment. Instead, organisations need to reconsider how work is organised, how employees interact with AI systems and how performance is measured if they are to achieve meaningful returns.

According to Lenovo, many organisations remain focused on introducing AI tools into existing processes rather than redesigning those processes to take advantage of new capabilities. This approach risks creating isolated pockets of productivity improvement without delivering the wider operational changes necessary to improve business performance. The report argues that successful transformation requires a coordinated approach encompassing workplace technology, employee skills, operational support and governance.

To assess organisational preparedness, Lenovo has developed an AI Workplace Readiness Index covering five interconnected dimensions: architecture, operations, trust, workforce and value. Each is scored on a five-point scale, providing a framework for identifying weaknesses that could prevent organisations from scaling AI effectively. Businesses that have embedded AI across their core functions achieve an average readiness score of 4.1 out of five, compared with 2.7 among those still evaluating potential applications, indicating a strong association between workplace readiness and the maturity of AI deployment.

Measuring the impact of AI on work

One of the most significant shortcomings identified by the research concerns the measurement of AI performance. Although organisations are increasingly deploying AI applications, only one in ten has established a mature approach to continuously assessing their impact on workflows and using the results to inform investment decisions. Lenovo argues that conventional productivity measures are insufficient to determine whether AI is delivering meaningful improvements across an organisation.

Instead, the report recommends evaluating the performance of entire workflows, using indicators such as process completion times, recurring incidents and the quality of outcomes. This would allow businesses to distinguish between applications that deliver measurable operational benefits and those that simply introduce additional technology without improving performance.

Rakshit Ghura, Vice President and General Manager of Lenovo Digital Workplace Solutions, said: “Every company we’re talking to is asking the same thing: what value are we actually getting from AI? That’s where workflow-level measurement matters. Are cycle times down? Are repeat incidents falling? Is the outcome better? That’s how you show where AI is creating value.”

The research also identifies a disconnect between organisations’ efforts to encourage employees to use AI and their ability to assess whether those initiatives are effective. While 70 percent of organisations have introduced an AI adoption programme, only 12 percent measure adoption and effectiveness at an individual or team level and use the findings to refine training, employee requirements and technology decisions. This suggests that many employers are promoting AI adoption without developing a sufficiently detailed understanding of how it affects different roles or working practices.

Redesigning work around people and AI

The report argues that the next phase of AI adoption will require organisations to rethink the division of responsibilities between employees and increasingly autonomous AI agents. Although businesses are exploring the potential for agents to undertake routine activities, fewer have established formal working models defining how human employees and AI systems should collaborate.

Lenovo recommends that employers identify which tasks can be delegated to AI while establishing clear boundaries around activities requiring human judgement, creativity, accountability and oversight. Such arrangements will also require changes to employee training, job design and management practices, rather than relying exclusively on the deployment of new software.

The research suggests that workplace infrastructure and IT support will also need to evolve as AI becomes more deeply embedded in business operations. Organisations will need to consider where AI workloads are processed, how technical problems can be anticipated and prevented, and how data security and governance arrangements can accommodate increasingly complex interactions between employees, applications and autonomous systems.

Rather than treating these issues as separate technology projects, Lenovo argues that they should form part of a wider digital workplace strategy linking investment decisions to business outcomes. The report recommends that organisations assess their readiness across all five dimensions and prioritise the weaknesses most likely to obstruct their immediate AI objectives, rather than adopting a uniform approach to transformation.

“AI cannot deliver its full value in a workplace designed for the pre-AI era,” Ghura said. “The opportunity is to redesign how people and AI work together, with the technology, support and governance around them built for how work is changing.”

The findings reinforce the argument that AI transformation is as much an organisational and workplace management challenge as a technological one. While the deployment of AI tools is becoming increasingly widespread, Lenovo’s research indicates that relatively few organisations have made the structural changes necessary to integrate those capabilities into established working practices or demonstrate their contribution to business performance.

The full findings are published in Lenovo’s The AI-ready workplace report.