For enterprise IT leaders in search of to operationalise AI to enhance the worker expertise, the reply might lie in making office know-how invisible. A landmark partnership between Lenovo and ServiceNow is doing precisely that, resolving as much as 40% of IT points earlier than workers ever discover them.
There’s a second most workers know too effectively. A tool freezes. An utility crashes. A brand new starter sits ready, unable to work, whereas an IT ticket slowly strikes up a queue. It is likely one of the most persistent and quietly damaging failures within the trendy digital office – and for years, the business’s response has been to make the ticket course of barely extra environment friendly. Lenovo and ServiceNow suppose that’s the flawed reply solely.
The 2 corporations introduced an expanded multi-year strategic partnership at ServiceNow’s Data 2026 occasion on 5 Might, bringing collectively Lenovo’s real-time system intelligence platform and ServiceNow’s AI workflow automation to construct what they describe as AI-native operations – a mannequin designed to not course of IT issues sooner, however to eradicate most of them earlier than they attain the worker in any respect.
What Is AI-Native IT Operations, and Why Does It Matter for Worker Expertise?
The standard IT help mannequin is reactive by design. One thing breaks, somebody experiences it, somebody fixes it. That sequence may take minutes or days – however crucially, it all the time begins with an worker experiencing an issue. AI-native operations invert that logic solely.
Lenovo’s xIQ Digital Office Platform repeatedly displays and analyses information throughout a world property of enterprise endpoints. That intelligence feeds straight into ServiceNow’s AI platform, which makes use of it to detect anomalies, predict failures, and orchestrate automated remediation – usually earlier than any degradation in efficiency is seen to the person. In response to the partnership’s figures, as much as 40% of IT points are resolved proactively, with no worker influence and no ticket required.
For IT leaders and CX professionals measuring worker expertise, the implications are vital. Office friction isn’t dramatic. It accumulates in gradual units, dropped calls, functions that take too lengthy to load. AI-native operations goal exactly that accumulation, changing it with infrastructure that works persistently and invisibly within the background.
How Can Proactive AI Resolve IT Points Earlier than Workers Discover Them?
The engine behind the partnership is the combination of Lenovo’s endpoint intelligence with ServiceNow’s Workflow Information Material and AI Management Tower. System efficiency information is repeatedly fed into ServiceNow’s platform, which applies AI fashions to establish which indicators point out an rising drawback and triggers automated workflows to deal with them.
The brand new Lenovo Office Providers Operations Suite, constructed natively on ServiceNow, brings collectively operational visibility, lifecycle administration, and information workflows in a single platform – giving IT groups a real-time view of their whole system property whereas AI handles the majority of routine remediation autonomously.
The result’s a help mannequin that operates at a scale and velocity no human-staffed IT workforce can match – and a workforce that experiences know-how as reliable relatively than disruptive.
What Does This Imply for Worker Onboarding?
One of many highest-stakes moments in worker expertise can also be some of the persistently mishandled: the primary day. New hires are spending their first week navigating a brand new IT system relatively than doing the work they had been employed to do. The Lenovo-ServiceNow partnership entails to deal with this by way of automated system lifecycle administration, with the businesses citing as much as 50% sooner onboarding and time to productiveness for brand spanking new workers.
For enterprise organisations managing giant, distributed workforces – notably these working throughout a number of geographies – that discount compounds rapidly. The partnership is designed for organisations of between 5,000 and 50,000 workers, and launches initially throughout Australia, New Zealand, Hong Kong, Singapore, and Eire.
What Does Operationalising AI Truly Look Like?
Most enterprises have invested in AI. Far fewer have embedded it into the precise movement of each day work at scale – and that hole between adoption and operationalisation has turn into one of many defining challenges in enterprise know-how.
Rakshit Ghura, VP & GM of Digital Office Options at Lenovo, is direct about it:
“Most enterprises are usually not struggling to undertake AI. They’re struggling to operationalize it throughout fragmented environments. Firms don’t want extra AI pilots. They want measurable outcomes.”
The Lenovo-ServiceNow partnership is a concrete try and ship precisely that – not by way of experimentation, however by way of integrating AI into the operational infrastructure enterprises already depend on.
Michael Park, SVP of International Partnerships and Channels at ServiceNow, frames the stakes clearly:
“The companions shifting with AI proper now are those who will outline what enterprise providers appear like for the following decade.”
For IT and office leaders, the message is equally clear. The query is now not whether or not AI can enhance worker expertise – it’s whether or not your organisation is constructing the infrastructure to make that occur at scale or remains to be ready for the following pilot to show it.
The IT ticket just isn’t going away in a single day. However the route of journey is unmistakable.
FAQs
What’s AI-native IT operations?
AI-native operations is an strategy to enterprise IT that makes use of synthetic intelligence to repeatedly monitor, predict, and resolve know-how points routinely — earlier than workers are ever impacted.
What’s the distinction between AI adoption and AI operationalisation?
AI adoption means deploying AI instruments; operationalisation means embedding AI into the precise workflows and infrastructure of each day enterprise operations so it delivers constant, measurable outcomes at scale.
How does AI-native IT operations velocity up worker onboarding?
By automating system provisioning and lifecycle administration, the Lenovo-ServiceNow resolution reduces the time it takes for brand spanking new workers to be totally arrange and productive by as much as 50%.
How a lot can AI-native IT operations cut back IT help prices?
Enterprises utilizing AI-native operations can anticipate as much as 30% discount in IT help prices by way of predictive challenge detection and automatic remediation.
How does AI enhance worker expertise within the office?
AI improves worker expertise by resolving as much as 40% of IT points proactively – eliminating the know-how friction that disrupts productiveness earlier than workers ever want to lift a help ticket.
