Lotfi Hadi, ein Mann mit rasiertem Kopf, mittlerem Hautton und kurzem Bart, steht vor einem dunkelblauen Hintergrund. Er trägt ein hellblaues Hemd und ein dunkelblaues Sakko und blickt freundlich in die Kamera.

Hadi Lotfi

Managing Director, The Marcome Engine

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Key Messages

 

  • Buying AI is easy. Becoming AI-ready is hard.
  • Competitive advantage moves from AI access to AI arrangements.
  • Focus on the whole rather than on its parts.
  • Scan the signals, learn the lessons, increase the impact.
  • AI runs, humans rule.

 

The Next AI Divide: Why Enterprise Orchestration beats Individual Adoption

For the past two years, organizations have been asking the wrong questions as the debate around AI has largely focused on access: which model to use, which platform to adopt, which agent to deploy. That’s not where competitive advantage will be created. The next AI divide will emerge between organizations that know how to orchestrate AI and those that simply accumulate individual AI capabilities

On one cue: act as an entity – or extinct

The first AI race was about access; the next one will be about execution.

Soon, as models and agents are becoming commodities, most organizations will have access to similar AI capabilities. At that point, value shifts from technology itself to the system that surrounds it – and arranges its individual parts: decision-making structures, governance, data flows and the interaction between humans and intelligent systems. 

Operating model: Overall orchestration

Right here and now, many organizations underestimate the scale of the transformation ahead as they still approach AI as a technology initiative, introducing tools, automating workflows and measuring adoption.

All good, but the real challenge is organizational. 

As we look into companies, we can state that employees are often ready to work in entirely new ways but the systems around them are not. Incentives, processes, governance structures and management practices were – no wonder – designed for a world in which work was performed exclusively by humans. They are often poorly suited for constant – not sporadic – collaborations of humans and AI. This results in individual AI “lighthouses” that cannot reach their full potential without being integrated into an overarching system.

The challenge is therefore not simply to introduce AI - it is to redesign work overall. 

Organizations need to decide which decisions remain human, which tasks can be delegated, how outcomes are evaluated and how intelligence flows across the business. Leaders are no longer just introducing new technology; they are rearchitecting the operating model itself. 

This is precisely the challenge that many enterprises are now facing internationally – and that we’re guiding them through. As organizations move, Ai-wise, beyond pilots and experimentation, they require frameworks that combine agent development, governance, orchestration and organizational transformation. The conversation is increasingly shifting from deploying individual AI solutions to building scalable systems that can coordinate people, knowledge and autonomous agents across markets, functions and business units. 

Rehearse, practice, exercise: Define your distinctive sound

The most successful organizations will use AI merely to increase learning rather than output – by focusing on building better organizational intelligence and institutional knowledge. 

Which decisions work, which workflows fail, where do inefficiencies emerge and where is real value created – everything can be tracked by the distinct signals produced by agent interaction. These are the ones to be captured systematically to evaluate outcomes, distribute insights and integrate lessons learned into future processes. 

Over time, this creates a self-reinforcing cycle in which the organization learns from its own operations faster than competitors. That compounds over time and becomes increasingly difficult to replicate.

Raise the baton: Every orchestration needs its conductor

As execution becomes abundant, judgment becomes scarce.

When agents can generate, analyze, recommend and increasingly act on their own, the key differentiator shifts to evaluation. Someone, some human indeed, still needs to decide which outcomes matter, which trade-offs are acceptable and whether a decision serves the broader objectives of the business. 

This is particularly true given that, while investments in AI have not yet translated into a reasonable ROI, companies do not have unlimited capital or endless time to wait for those investments to pay off during economically challenging times. Not to forget the ongoing battle of varying costs for tokens and most companies lack of finding a solution to it. 

Therefore, the value of the human increasingly lies in directing systems, evaluating outcomes and applying judgments where context, responsibility and accountability matter most.  

Organizations that understand this shift will not try to remove humans from the process. They will elevate human judgment to its highest-value role.

In sync: From cacophony to symphony

Adding more AI is easy, but the future will not belong to the organizations with the most agents. It will be those that know how to bring them into harmony with people, processes and purpose.

That ability to transform cacophony into a symphony will become the defining competitive advantage of the next era. 

This article was originally published in The Drum.

Hadi Lotfi

About the Author

Hadi Lotfi is Managing Partner at Plan.Net Agentic AI, where he shapes and leads the company’s AI strategy, driving the development of intelligent systems across the organization. He focuses on building scalable Agentic Hub architectures that augment teams, streamline operations, and unlock new forms of value creation.

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About Plan.Net

Plan.Net is one of the leading digital experience and technology partners within the Serviceplan Group. Founded in 1997, Plan.Net now employs over 1,000 experts across more than 20 international locations and is an integral part of the House of Communication model.

Plan.Net designs, implements, and operates data-driven customer experience, commerce, and MarTech ecosystems. Interdisciplinary teams spanning consulting, experience design, data science, CRM, e-commerce, content, and technology work collaboratively across the entire digital value chain.

Plan.Net’s capabilities are recognized externally and have received numerous awards, including international digital and technology awards as well as industry-specific accolades for marketing technology and platform solutions, confirming Plan.Net’s role as the technological backbone of the House of Communication approach.