An extended partnership gives enterprises access to AI that will scan and refactor legacy applications, but will it introduce new issues?
June 15, 2026
No Jitter Brief:
IBM and ServiceNow are extending their partnership to unlock data stuck in legacy systems and make data AI-ready with governance and automated IT operations. "We’re seeing a major rush of activity in the legacy modernization space, as tech providers figure out that AI can significantly accelerate the modernization process, " said Neil Ward-Dutton, Research VP, Agentic Automation and AI Tech, IDC.
The partnership will integrate automation, infrastructure and security tools from open-source software provider Red Hat and multi-cloud infrastructure automation and security provider Hashicorp with IBM’s AI and observability capabilities.
“IBM brings the tooling to modernize the systems and extend ServiceNow’s data capabilities. ServiceNow provides the platform to put that data to work across every workflow in the business. Together, we’re helping enterprises move from AI ambition to real, scalable outcomes,” said John Aisien, Senior VP and General Manager, Central Product Management, Security & Risk at ServiceNow.
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No Jitter Insight:
Data stuck in legacy applications and systems can be a pain point for modern enterprises because they can slow down or provide incomplete business insight and analytics. They can also slow AI production.
IBM and ServiceNow’s recent partnership expansion aims to help with this issue by extending ServiceNow Workflow Data Fabric with IBM’s watsonx to provide customers with Master Data Management, or a single, unified record of business data with governance and processes in place for said data. The partnership also brings in Red Hat Ansible, an agentless IT automation engine, and Hashicorp’s Terraform and Vault for Infrastructure as Code and security. These tools will work with IBM’s Instana and Bob, which provide enterprise application performance monitoring, observability, and AI-powered development.
"There’s a lot of hype about how AI-powered tools can automate legacy systems migration; but the reality is that complete automation is not possible today. AI-powered tools can help to make sense of legacy codebases, document them, create first-cut code to replace/reengineer that legacy code, and also create test harnesses for replacement code. But they are not reliable enough to do this by themselves – the pipelines need significant expert input, validation and oversight at every stage," said Dutton.
These capabilities will be available in the second half of 2026.
Read more about:
Hannah Warfel
Associate Editor
Hannah Warfel is the Associate Editor for No Jitter; they joined the site in September 2023. They cover data management, analytics and business intelligence. They have a background in publishing and professional writing, and they have been a Salesforce Ranger since 2020. You can reach them at [email protected] or on LinkedIn.
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