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By Mohamad Ali, Senior Vice President and Head of Consulting, IBM Consulting
BeijingJune 3, 2026 /PRNewswire/ — Enterprise AI is at a turning point. On one hand, investments are massive and everyone is actively experimenting; on the other, rapid deployment remains fraught with challenges. The issue is not about vision or technology, but about operating models.
Over the past few decades, scaling delivery relied on human effort: the more people you put in, the greater the output. Almost every business model was built on this logic, but AI has changed the rules. Now, output depends on a company’s operating model—how teams build and coordinate various agents, how governance is implemented, and how raw capabilities are transformed into measurable business outcomes. Currently, most enterprises’ delivery models are still fundamentally designed for the “human era.”
However, the industry is now buzzing about a new role called the “Forward Deployed Engineer (FDE).” In fact, IBM has always had such FDE positions—including IBM Fellows and Distinguished Engineers—who are directly embedded in client projects. FDE essentially standardizes this practice into a replicable, scalable model. Now, IBM Consulting has launched a new AI delivery approach: “Forward Deployed Units (FDUs).” An FDU is not a specific person, but an operational unit or work team structured as follows: human experts are positioned at both ends, with a “digital workforce” of specialized agents in the middle, handling tasks like coding, evaluation, testing, and documentation under human guidance.
Humans and Digital Workers—Designed as One
This combination itself is the core value. A six-person team can accomplish work that would typically require a thirty-person team, achieving this with better economics; meanwhile, this approach continuously improves with each delivery project. This is how AI becomes a true lever for scaling, not just an auxiliary tool.
Forward Deployed Units (FDUs) are already in practical use at companies like Riyadh Air, Nestlé, Heineken, and Pearson, advancing AI from isolated pilot projects to large-scale production. Currently, we are deploying FDUs globally—from Asia Pacific to Europe to the United States—continuously expanding the number of FDUs in operation.
The Rise of the “Forward Deployed Engineer”—This Is Just the Surface
In recent years, the “Forward Deployed Engineer” (FDE) has rapidly emerged. Ideally, this role combines engineering capability, consulting skills, and business expertise into one. They can understand problems, design solutions, and build them in real-time within the environment where the solution will be used. Companies are no longer satisfied with mere strategy; they need talent that can put AI into production. However, focusing solely on this title misses the broader, more fundamental issue. In fact, the rise of FDE is not the answer, but a signal—it indicates that the way technology is delivered must itself change.
The real problem is not talent, but systematics. No single person can solve the challenges of data fragmentation, complex architecture, stringent governance requirements, and the need to compress the cycle from concept to production from “months” to “days.” What enterprises need is a new delivery model that connects and integrates strategy, engineering, and business context into a unified system. This is where the breakthrough lies for companies, and it is the core value that IBM’s FDU aims to achieve.
Each FDU team is accountable for real business outcomes. The team consists of three types of roles: domain experts who redesign business processes, architects who bridge strategy and execution, and engineers who build and scale solutions. They operate as an extension of the client organization, working side-by-side with client teams to fundamentally change how work gets done. The core is that FDU teams integrate people, platforms, and AI agents into a unified system: human expertise defines the direction of work, and AI accelerates its execution.
To support this model, IBM has established a dedicated technical talent development pipeline for FDUs and continuously recruits high-quality talent from top global engineering and technology institutions, ensuring a steady supply of top-tier forward-deployed personnel.
From “Project Delivery” to “Continuous Execution”
Traditional models separate “thinking” from “execution”: strategy is developed, then delivery is executed, with significant context lost in between. FDU completely overturns this model. The same team is responsible for both design and build-out, and progress is measured by “running systems,” not by deliverables or documents—this is particularly critical for continuously evolving Agentic AI systems. Such systems require ongoing tuning, governance, and integration with real business processes; their delivery is not a one-time project but a continuous execution process.
This is where many existing approaches fall short. An FDE can help get a system up and running, but AI work does not end after “go-live.” And when delivery relies on individual roles, there is often pressure to withdraw resources after launch, creating a gap between “deployment” and “sustained operation.”
FDU is designed precisely to address this gap. It integrates solution development, ongoing operations, and client capability building into a unified model, thereby creating value not just at launch but throughout the entire lifecycle. Moreover, because client teams work closely with experts throughout the process (rather than undergoing knowledge transfer after delivery), they also build lasting capabilities to independently operate, evolve, and scale AI. This makes every project and collaboration both an execution engine and an accelerator for transformation.
Why Platform Matters as Much as Talent
Deploying teams is necessary, but not sufficient. To scale AI, teams need a shared foundation that provides speed, consistency, and governance.
At IBM, FDUs operate on the IBM Consulting Advantage, an AI-powered delivery platform. This platform offers reusable assets, AI agents, and industry accelerators, making delivery faster and more replicable, turning point successes into enterprise-wide value. Teams do not start from scratch but continuously build on a common, scalable system.
The delivery model that organically integrates senior consultants, FDE-level technical talent, and the IBM Consulting Advantage platform is a unique strength of IBM.
The Next Chapter of AI Will Be Defined by “Execution Capability”
The next phase of AI will be defined not just by models, but by the ability to translate them into sustained business value. Discussions are already moving beyond tools and talent to the delivery system itself.
FDE is part of this evolution, but not the whole picture. Truly leading enterprises will integrate teams, platforms, and operating models into a unified system.
This is precisely the capability IBM is building through FDU. It enables companies to move from “experimentation” to “execution,” turning AI vision into real, measurable business outcomes.