IBM announced on May 14 the launch of a new delivery model for artificial intelligence called Forward Deployed Units (FDUs). This approach uses small, senior teams that combine human expertise with digital agents to move AI projects from strategy into real-world results more quickly.
The company said this new model addresses challenges in deploying AI by changing how work is organized and delivered. Traditional methods relied on increasing labor to achieve scale, but IBM says AI now requires an operating model focused on coordination between people and technology.
According to IBM, FDUs are not individual roles but teams or ‘pods’ where humans work alongside specialized digital agents. These pods can perform the work of much larger teams with better efficiency and economics. “It’s how AI becomes a scaling factor, not just an assistant,” the release said. FDUs have already been deployed with clients such as Riyadh Air, Nestlé, Heineken and Pearson, and are being expanded globally.
The rise of the “forward deployed engineer” (FDE) reflects a shift in enterprise needs from strategy alone to execution in production environments. However, IBM argues that focusing only on this role misses broader systemic issues like fragmented data and complex architectures. The company said FDUs address these by combining business specialists, architects and engineers into unified teams accountable for business outcomes.
FDUs operate using IBM Consulting Advantage, an AI-powered platform providing reusable assets and industry accelerators. This foundation allows faster delivery while ensuring consistency and governance across projects. The release stated: “This combination of senior consultants, FDE‑level technical talent and IBM Consulting Advantage is something only IBM brings together in one model.”
Looking ahead, IBM said the next phase of enterprise AI will depend on organizations’ ability to turn models into sustained business value through integrated delivery systems rather than relying solely on tools or individual talent.



