IBM has introduced IBM Enterprise Advantage, a new asset-based consulting service designed to help organizations accelerate the deployment of internal AI platforms while maintaining control over governance, operations, and existing technology investments. The initiative addresses a growing challenge across enterprises: moving from isolated AI pilots to scalable, value-generating AI systems embedded in everyday business processes.
IBM Enterprise Advantage combines AI tools, predefined assets, and industry expertise developed within IBM Consulting to enable companies to design, govern, and operate customized AI platforms at scale. Rather than requiring customers to overhaul their infrastructure, the service is built to integrate with existing cloud environments, AI models, and core systems. This includes compatibility with major cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure, alongside IBM Watsonx and both open- and closed-source AI models.
The approach reflects a broader shift in enterprise AI strategy. As organizations increasingly adopt agentic AI and automation, many struggle with fragmentation across vendors, platforms, and governance frameworks. IBM’s service aims to reduce this complexity by helping clients redesign workflows, connect AI capabilities directly to operational systems, and deploy new AI-driven applications without disrupting established technology stacks.
At the core of Enterprise Advantage is IBM Consulting Advantage, IBM’s internal AI-powered delivery platform. This platform includes a growing marketplace of industry-specific AI agents and applications that IBM consultants already use in client engagements. According to IBM, Consulting Advantage has supported more than 150 projects and increased consultant productivity by as much as 50%, enabling faster execution and more consistent outcomes. Enterprise Advantage extends this same framework to customers, allowing them to replicate IBM’s internal approach within their own organizations.
Secure, Governed AI Assistant Deployment
Early use cases illustrate how the service is being applied across industries. Pearson, a global lifelong learning company, is using Enterprise Advantage to develop a custom AI platform that blends human expertise with agentic assistants to support daily decision-making and operational tasks. In another example, a manufacturing company applied the service to define and implement its generative AI strategy. This included identifying high-value use cases, validating prototypes, and aligning leadership around a platform-first approach. The result is a governed environment where multiple AI assistants can be deployed securely, creating a foundation for broader enterprise-wide adoption.
Mohamad Ali, Senior Vice President and Head of IBM Consulting, said many organizations have invested heavily in AI but struggle to achieve impact at scale. He noted that IBM has already addressed similar challenges internally by applying AI across its own operations, creating a practical playbook that Enterprise Advantage now brings to clients. By combining human expertise with digital workers and reusable AI assets, IBM positions the service as a way for enterprises to scale AI initiatives with greater confidence and measurable results.
Executive Insights FAQ
What problem is IBM Enterprise Advantage designed to solve?
It helps organizations move beyond AI pilots to scalable, governed AI platforms that deliver measurable business value.
How does the service integrate with existing IT environments?
It works with current cloud providers, AI models, and infrastructure, avoiding the need for large-scale technology changes.
What differentiates Enterprise Advantage from traditional consulting?
It combines consulting expertise with reusable AI assets and a proven internal delivery platform used by IBM itself.
Which industries can benefit most from this approach?
Enterprises across education, manufacturing, and other regulated or complex sectors adopting generative and agentic AI.
Why is governance a central focus of the service?
As AI scales, organizations need consistent controls, security, and oversight to manage risk and compliance effectively.
