Artificial Intelligence (AI) has become a tool with real impact. And while many companies are still struggling to scale their AI initiatives, a new concept is emerging in the tech scene: agentic AI. This evolution aims to transform not only processes but also the operating structure of organizations.
According to the report From AI Projects to Profits by the IBM Institute for Business Value, this advanced form of AI is ready to mark a turning point in how we work, decide, and compete.
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What is agentic AI?
Agentic AI refers to autonomous artificial intelligence systems capable of orchestrating complex tasks, making real-time decisions, and executing actions based on strategic goals. Unlike other forms of automation such as RPA (robotic process automation), agentic AI does not just follow programmed instructions: it can adapt, learn, and collaborate with humans like an “intelligent agent.”
Simply put, this advanced form of AI becomes an active collaborator within the organization, able to interact with multiple systems, people, and data while acting in alignment with business objectives.
How does agentic AI work within a company?
For an AI solution to be considered “agentic”, it must meet several key characteristics:
- Operational autonomy: it can act without constant human intervention.
- Process orchestration: manages multiple workflows simultaneously.
- Adaptability: responds to real-time changes, adjusting its decisions.
- Human collaboration: it does not replace but rather complements human work.
- Execution capability: goes beyond analysis and recommendations—it acts.
This technology’s functionality relies on advanced language models, access to reliable data, and a robust technical ecosystem that allows it to interact with various enterprise systems.
Why does agentic AI represent a paradigm shift?
While the first wave of AI focused on predictive analysis and limited automation, this advanced form of AI proposes a complete reinvention of work. According to IBM, this approach will make the difference between organizations that merely adopt AI and those that strategically orchestrate it.
The tech company projects that AI-enabled workflows—many of them powered by agentic systems—will grow from 3% in 2024 to 25% in 2025, an eightfold increase in just one year. This growth reflects a profound shift: AI will cease to be a complementary tool and become the central engine of operations.
What benefits does agentic AI offer organizations?
According to IBM’s report, organizations expect a wide range of tangible benefits:
- Greater operational efficiency: 83% of executives believe these systems will drastically improve process efficiency.
- Cost reduction: 67% expect significant savings through automation of manual tasks.
- Optimized decision-making: 69% trust that agentic AI will provide better access to data and insights, improving strategic decisions.
Additionally, these tools allow organizations to scale expert knowledge, improve talent retention by reducing repetitive tasks, and offer enduring competitive advantages.
Which companies are already using agentic AI?
The study presents several real success cases:
🔬 Case 1: Informed Genomics and CanSense (United Kingdom)
Both companies developed a non-invasive blood test to detect colorectal cancer. Thanks to agentic AI deployed on IBM platforms, they achieved:
- Reduced diagnosis time from weeks to days.
- Potential savings of up to £300 million annually for the NHS.
- 90% sensitivity in results.
🏗️ Case 2: Edsvärd Hållbarhet (Sweden)
In the construction sector, agentic AI helps prevent accidents by coordinating different risk activities in real time. Projections include:
- 50% improvement in efficiency.
- 75% reduction in repetitive administrative tasks.
- 80% increase in business value generation.
What challenges do companies face when adopting agentic AI?
Although enthusiasm for this technology is high, organizations face significant hurdles:
- Intellectual property: who owns the decisions made by AI?
- Data quality: without reliable data, AI makes errors or perpetuates bias.
- Trust: employees and leaders must trust that AI acts transparently.
- Talent shortage: many companies lack the necessary technical knowledge.
Moreover, implementing agentic AI requires redesigning the work structure, decision-making processes, and internal governance frameworks. It’s not just about installing software—it involves a complete organizational transformation.
Organizations already implementing it are showing real improvements in revenue, productivity, and operational quality. But beyond that, they are creating new business models, expanding markets, and redefining what is possible with artificial intelligence.
Agentic AI proposes a new way of operating, a new way of thinking about work, and a strategic advantage that will soon become standard in the most competitive sectors.
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