IBM announced the launch of a new AI delivery model called Forward Deployed Units (FDUs), which the company says is designed to help enterprises move artificial intelligence initiatives from experimentation into large-scale production environments faster and more efficiently.
In the announcement, IBM said traditional enterprise delivery models were built around labor-heavy approaches in which adding more people increased output. But as AI adoption accelerates, IBM argues that success increasingly depends on how organizations structure teams, coordinate AI agents, enforce governance, and operationalize AI capabilities into measurable business outcomes.
The company described FDUs as small, senior-level teams augmented by AI agents that can perform coding, evaluation, testing, and documentation under human supervision. IBM said these units combine business specialists, architects, and engineers into integrated pods that are responsible for delivering measurable business outcomes.
According to IBM, the structure allows a six-person FDU team to perform work that traditionally required much larger teams, while improving economics and enabling faster iteration. The company emphasized that the model is designed to continuously improve through repeated engagements and operational feedback.
IBM said FDUs are already being deployed with organizations including Riyadh Air, Nestlé, Heineken, and Pearson. The company added that it is scaling deployments globally across Asia Pacific, Europe, and the United States.
The company also addressed the growing prominence of “forward deployed engineers” (FDEs), a role increasingly associated with combining engineering, consulting, and business expertise to help customers deploy AI solutions directly into production environments. IBM said the rise of FDEs signals a broader industry shift in how enterprise technology must be delivered.
Rather than relying on individuals alone, IBM said FDUs are designed as complete delivery systems that combine strategy, engineering, governance, and business context into a unified operational framework. IBM noted that these teams work directly alongside client organizations instead of functioning through traditional consulting handoffs.
IBM said the model is intended to support continuous execution rather than one-time project delivery. The company emphasized that agentic AI systems require ongoing tuning, governance, and workflow integration after deployment, creating the need for persistent operational engagement.
To support the initiative, IBM said it maintains a dedicated technical career track for forward-deployed talent and recruits from top engineering and technical universities worldwide.
The FDUs operate on IBM Consulting Advantage, the company’s AI-powered delivery platform that includes reusable assets, AI agents, and industry accelerators. IBM said the platform enables faster implementation and repeatability across enterprise deployments.
IBM positioned the launch as part of a broader industry transition in which enterprise AI success will increasingly depend on execution and operational models rather than AI models alone.
Mohamad Ali, Senior Vice President and Head of IBM Consulting, said the next stage of AI adoption will be defined by organizations’ ability to generate sustained business value from AI systems instead of merely experimenting with the technology.
KEY QUOTES:
“Enterprise AI is at a tipping point. The investment is massive and experimentation is everywhere but deploying quickly remains a challenge. The issue is not the vision nor the technology. It is the operating model.”
“The next phase of AI won’t be defined by models alone; it will be defined by the ability to turn them into sustained business value.”
Mohamad Ali, Senior Vice President and Head of IBM Consulting
