Key Facts from the Announcement

• IBM and ServiceNow are teaming up to help enterprises make legacy systems AI-ready.
• The partnership will focus on three primary service areas: Application Modernization, Autonomous Infrastructure Operations, and Data Governance.
• Services will be available in the second half of 2026.
• The collaboration leverages IBM's AI, data, and automation tools (including watsonx, Red Hat Ansible, Instana) and ServiceNow's AI Platform and workflow capabilities.
• Quoted: &8220;Most enterprises have the ambition to deploy agentic AI, but lack the foundation to run it at scale,&8221; said John Aisien, ServiceNow senior vice president.

IBM and ServiceNow are joining forces to deliver a suite of services designed to modernize legacy enterprise systems and prepare them for artificial intelligence. The partnership, announced June 11, 2026, addresses one of the most critical challenges facing large organizations today: deeply interconnected legacy infrastructure that resists change but must evolve to support modern AI workloads.

For decades, enterprises have built complex networks of mainframes, custom applications, and middleware that power core business processes. These systems are often rigid, opaque, and dependent on specialized knowledge. As companies race to adopt generative AI and agentic AI, they discover that their legacy environments simply cannot handle the data velocity, integration demands, or automation requirements that AI-driven workflows demand. IBM and ServiceNow aim to bridge this gap without forcing organizations to rip and replace their existing technology investments.

The collaboration brings together two heavyweights with complementary strengths. IBM has deep expertise in managing large-scale, mission-critical systems &8211; from mainframes to cloud hybrids &8211; and offers a suite of AI, automation, and data management tools under the watsonx umbrella. ServiceNow provides a platform that acts as a workflow layer above existing systems, stitching together disparate applications and processes. By combining these capabilities, the partners promise to deliver three core offerings that will be generally available in the second half of 2026.

Application Modernization

The first service focuses on scanning and refactoring legacy applications. Using tools like IBM Bob (a mainframe modernization and analysis tool), Enterprise Application Runtime for Java, and IBM watsonx.data, the platform will analyze existing code, identify areas that can be optimized for AI, and automatically refactor them. This allows enterprises to bring decades-old COBOL or PL/I applications into the AI era without rewriting everything from scratch. The modernization process also includes creating APIs and microservices that make legacy functions accessible to modern AI agents. The goal is to preserve business logic while making it consumable by AI-driven workflows.

Autonomous Infrastructure Operations

The second offering integrates infrastructure automation tools with ServiceNow IT workflows. Red Hat Ansible Automation Platform, IBM Bob, Instana observability, HashiCorp Terraform, and HashiCorp Vault are woven into a single framework that can automatically detect, diagnose, and remediate infrastructure issues. For example, if a mainframe workload begins to degrade, the system can automatically trigger a ServiceNow incident, run an Ansible playbook to adjust resources, verify the fix with Instana, and update the CMDB &8211; all without human intervention. This autonomous operations capability reduces downtime and frees IT staff to focus on higher-value tasks.

Data Governance for AI

The third service extends ServiceNow Workflow Data Fabric with IBM watsonx.data to create a unified data governance layer. This includes data quality monitoring, observability, master data management, and a shared data catalog. The combined solution helps customers track the lineage, quality, and readiness of data used for AI models. Enterprises can enforce policies, detect anomalies, and ensure that only trusted, well-governed data feeds into AI pipelines. The ServiceNow Data Catalog acts as the single source of truth, enabling business users and data scientists to discover and trust data assets across the organization.

These services build on a long-standing relationship between IBM and ServiceNow. The two companies have previously collaborated on cloud migration, automation, security, IT service management, and observability projects. This new joint offering represents a deeper integration aimed at solving what many analysts call the &8220;last mile&8221; problem of AI adoption: transforming legacy infrastructure into a foundation that can support intelligent automation at scale.

The timing of the announcement aligns with a broader industry trend. Enterprises across finance, healthcare, manufacturing, and government are under pressure to deploy AI, but surveys consistently show that legacy architecture is the top barrier. IBM and ServiceNow are betting that a modernization-first approach will resonate with CIOs who want to leverage AI without incurring the cost, risk, and disruption of replacing core systems. The focus on agentic AI &8211; autonomous software agents that can plan and execute tasks &8211; is particularly relevant given the growing interest in autonomous IT operations and self-healing infrastructure.

From a technical perspective, the integration will rely on ServiceNow&8217;s AI Platform, which provides a workflow layer that can orchestrate actions across multiple systems. IBM&8217;s watsonx platform contributes large language models, data fabric capabilities, and governance tools. Red Hat Ansible, as part of the IBM ecosystem, adds automation muscle. The partnership also leverages HashiCorp tools for infrastructure provisioning and secrets management, highlighting the multi-vendor nature of modern enterprise IT stacks.

The announcement was made during a period of rapid innovation in the AI infrastructure space. Competitors like Cisco, HPE, and Dell are also pursuing AI-driven modernization strategies. However, IBM and ServiceNow bring a unique combination of legacy system expertise and workflow automation that could give them an edge with large, entrenched enterprise accounts. The first services are expected to roll out for early customers before the general availability date in the second half of 2026.

Ultimately, the success of this partnership will depend on execution. Modernizing deeply interconnected legacy systems is notoriously difficult, and AI integration adds a layer of complexity. But the potential payoff is significant: enterprises that can successfully bridge the gap between old and new will be better positioned to compete in an AI-driven economy. IBM and ServiceNow are positioning themselves as the guides for that journey, offering a path that preserves existing investments while opening the door to the future.

Source: Network World News