Human Intelligence and Agentic AI: What Is the Human Role?
Agentic AI pursues goals, uses tools, coordinates work steps and prepares results for decisions. This significantly increases the operational power of artificial intelligence. The human role is shifting towards the points where context, judgment, trust and responsibility matter.
For leaders, this raises two central questions: Which business logic should intelligent systems amplify? Which decisions still require a human being?
From Answering Questions to Taking Action
Generative AI produces texts, images, analyses and summaries. Agentic AI goes one step further. An agent works towards a goal, uses the available tools, follows several steps and prepares concrete actions or carries out approved steps.
In companies, this reaches far beyond individual productivity tasks. Agents can combine information from different systems, compare offers, monitor deviations, prepare queries and track open issues. They therefore influence processes, decision paths and responsibilities.
Agentic AI is a leadership issue. It changes the operating model: Who decides? What may a system execute autonomously? Where is human approval mandatory? Who is accountable when a process runs across several systems?
Agentic AI Amplifies the Existing Business Logic
Intelligent systems accelerate what is already present in a company. Clear goals, robust processes and sound decision rights gain impact. Unclear responsibilities, false assumptions and outdated business models also take effect faster.
This makes the quality of the initial question decisive. When a company automates a poor process, it creates a poor process that runs faster. When it scales outdated logic, it amplifies the consequences.
Leadership therefore begins before automation. It clarifies which value creation will matter in the future, which customer promises apply, and how people and agents should work together.
Operations: Agentic AI as a Tool for Effectiveness
In operations, the difference between efficiency and effectiveness becomes particularly clear. Efficiency shortens an existing process. Effectiveness starts one level earlier: Are we working on the right task at all? Does the process solve a relevant problem? Does it create a measurable contribution for customers and the company?
Agentic AI reaches far beyond administrative relief. In maintenance, an agent can combine technical information, asset history, spare parts, available specialists and required approvals into an executable workflow. For investment decisions, it can check which components actually need to be replaced, which technical alternatives exist, and how safety and compliance can be maintained. This reduces waiting times, unplanned downtime and unnecessary replacement investments.
Efficiency is part of the benefit. The greater leverage lies in effectiveness: Agents take over research, coordination, follow-up and documentation. The capacity this releases gives people room to develop alternative solutions, imagine new products and services, and open up new business opportunities. This is where progress is created.
I describe this step as the transition from the License to Operate to the License to Perform. The License to Operate remains the indispensable foundation for safe and compliant operations. The License to Perform broadens the focus to actual performance: availability, effective investment, better OPEX decisions and concrete customer value. Agentic AI connects technical evidence with operational decisions.
Human Intelligence Connects IQ, EQ and Intuitive Intelligence
In my book Human Intelligence, I describe three levels of human intelligence:
IQ stands for facts, data, analysis and structured thinking.
EQ encompasses empathy, listening, relationships and trust.
Intuitive intelligence expands the view through experience, perception and the recognition of hidden connections.
Agentic AI primarily strengthens the analytical and execution side. It processes large amounts of information, recognizes patterns and reliably follows complex sequences of work. In human systems, however, data alone is rarely enough. Organizations consist of relationships, interests, experiences and unspoken dynamics. Leadership must bring these levels together.
The human role begins where a situation demands more than a computable answer.
Five Tasks Remain Central to Human Leadership
1. Set the Right Question and the Right Frame
An agent can pursue a given goal consistently. Leadership must determine whether that goal makes sense. Which customer expectation should be met? Which value creation do we want to strengthen? Which boundaries apply? Which side effects would be unacceptable?
The quality of execution begins with the quality of the mandate. Unclear leadership produces unclear agent work.
2. Exercise Judgment Under Uncertainty
Data mainly describes what has already happened. Strategic decisions address a future for which information will remain incomplete. This requires experience, intuition and the ability to combine several perspectives into a responsible judgment.
This applies to investments, new business models, partnerships and changes with a major impact on people. Agents can prepare scenarios and the basis for a decision. The decision itself requires a human being who understands its consequences and takes responsibility for it.
3. Perceive Hidden Dynamics
In complex organizations, impact is often decided below the visible surface. Resistance can point to an overlooked conflict, a negative experience or a contradiction within the change initiative. Silence in a meeting can matter more than a formally positive set of minutes.
Human Intelligence treats such signals as information. It connects observation, resonance and systemic understanding. This reveals the small levers that can move a stuck situation.
4. Create Trust, Meaning and Connection
People support change when they understand its purpose, recognize their contribution and trust those responsible. This relationship is built through presence, honest listening and credible action.
Agents can prepare communication and make knowledge accessible. Leadership remains responsible for human contact: difficult conversations, psychological safety and a culture in which concerns can be voiced.
5. Design Accountability and Approvals
The more independently agents act, the clearer decision rights must become. Companies need visible approval points, particularly for:
financial commitments,
customer and supplier communication,
legal or regulatory statements,
decisions that affect employees,
decisions that affect production assets,
delivery commitments and commercial concessions.
A simple operating logic is: The agent prepares. The human reviews and approves critical steps. The agent executes approved steps and documents them. The human monitors exceptions and remains accountable.
What This Means for the Operating Model
Introducing Agentic AI is more than a technology decision. Processes, roles and governance must be considered together.
A robust operating model answers seven questions:
What customer value do we want to create?
Which forms of waste must we reduce to create this customer value?
Which recurring workflows cause friction today?
What may an agent prepare, recommend or execute autonomously?
Which data and tools are available to the agent?
Where are binding human approval points required?
How are decisions, exceptions and lessons learned documented?
The best place to begin is a clearly defined area with three to five real workflows. Four weeks are often enough to make the value, risks and acceptance of an initial pilot visible. The measures should include time saved, quality, errors, risk cases and the experience of the people involved.
Leadership Is Becoming More Demanding
As the execution power of systems grows, good leadership becomes more important. Leaders must clarify business logic, realign operating models, and connect human and agentic intelligence.
Human Intelligence provides the framework: analytical clarity, emotional connection and intuitive judgment. Agentic AI provides operational reach and creates room for new ideas and business opportunities. Together, they can make an organization more capable of learning and acting, provided that responsibilities and boundaries are designed consciously.
The decisive leadership question is: Which decisions may become faster, and where must we perceive more deeply?
Explore further: In Human Intelligence: How Human Intuition Transforms Corporate Leadership, Marco Schlimpert describes how IQ, EQ and intuitive intelligence can be combined into a robust leadership practice.
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