ServiceNow and IBM Target Legacy Systems in New AI Partnership

ServiceNow and IBM are deepening their partnership with a set of AI-focused solutions designed to tackle the infrastructure challenges that have kept many enterprises from scaling artificial intelligence beyond pilot projects.

The companies plan to launch joint offerings in the second half of 2026 that address three core areas: refactoring legacy applications, improving enterprise data quality and observability, and integrating end-to-end automation workflows. The solutions will feature tight integration between ServiceNow and IBM platforms, according to details first reported by AI Watch.

Why it matters

Most enterprise AI initiatives stall not because of the technology itself, but because of the unglamorous work required underneath: cleaning up decades-old systems, unifying fragmented data sources, and automating the infrastructure that supports machine learning workloads. This partnership positions ServiceNow deeper into the operational layer where AI projects either succeed or fail, moving beyond front-end automation tools into the core IT workflows that control budgets and long-term platform decisions.

Targeting the AI adoption bottleneck

Large organizations face persistent obstacles when attempting to deploy AI at scale. Legacy applications built on outdated code bases resist integration with modern AI tools. Data governance remains fragmented across siloed systems, making it difficult to feed clean, reliable information into machine learning models. And infrastructure operations still require significant manual intervention, creating bottlenecks that slow deployment cycles.

The ServiceNow-IBM collaboration aims to package solutions for each of these pain points rather than offering broad partnership announcements without concrete deliverables. For ServiceNow, this represents a strategic push into the infrastructure layer that sits behind AI projects, an area where enterprise IT budgets are concentrated and where platform stickiness tends to be highest.

Market positioning and competitive context

ServiceNow currently trades at a price-to-earnings ratio of approximately 60, more than double the software industry average of around 27. The company's stock sits about 28 percent below the analyst consensus price target of $141.86, though it has gained 17.3 percent over the past 30 days.

As the 2026 rollout approaches, investors will be watching how ServiceNow positions these joint products against competing enterprise platforms that are also pitching end-to-end AI solutions. The depth of integration into customer environments and the ability to demonstrate measurable workflow improvements tied to AI adoption will likely determine whether the premium valuation holds.

One consideration for investors: Simply Wall St has flagged significant insider selling over the past three months, a data point worth weighing against the positive partnership news.

These details were first reported by AI Watch.