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By now, you’ve most likely interacted with generative AI tools such as ChatGPT or Gemini that can create realistic text, images, or other content. These tools are incredibly powerful, but they largely remain reactive, responding to prompts but not taking initiative. That’s where agentic AI steps in.
This latest AI evolution doesn’t just conduct research and generate content, rather it can autonomously execute actions to reach a desired outcome. And unlike a non-AI Robotic Process Automation (RPA) solution, which performs a set of rote actions (however complex), an Agentic AI solution has “agency” to plan, decide, and execute actions to achieve the specified goal, and can learn the best way to do so when confronted with a similar task. According to UiPath’s insightful report, “AI and Automation Trends 2025”, agentic AI combines generative models with additional layers for reasoning, planning, and real-world action. It adapts on-the-fly and learns from outcomes, functioning much like a virtual employee.
How Agentic AI Will Transform Businesses
Agentic AI is quickly becoming a critical technology across various industries, primarily because it handles complex, judgment-intensive tasks that “older” automation technologies—you know, the ones from two years ago—found challenging and that required human intervention. For instance, RPA bots require structured rules and clear inputs, whereas Agentic AI can navigate nuanced processes and ambiguous situations autonomously.
Consider document processing—a notoriously cumbersome enterprise task. A recent webinar by Rossum, a leading document processing company, highlighted how typical generative AI solutions often fail in handling crucial business documents, sometimes getting things wrong up to 30% of the time due to “hallucinations,” inaccurate guesses, or a bias towards a desire to provide an answer. Any answer. Rossum's specialist agentic AI solutions tackle these challenges head-on, autonomously managing multi-step document workflows—from extracting and verifying invoice data to cross-referencing with internal databases and deciding whether to approve or flag documents for review. Rossum claims that its technology ensures accuracy by incorporating company-specific rules and integrating tightly with enterprise data, eliminating common errors associated with general-purpose AI.
Real-World Enterprise Impact
UiPath notes impressive results from early agentic AI implementations. In finance, banks have automated loan processing tasks, enabling agents to assess applications, make approval decisions, and generate paperwork without human oversight. This dramatically reduces processing times from days to mere minutes.
Customer service operations have also benefited significantly. Agentic AI handles customer inquiries autonomously, accessing relevant data, diagnosing issues, providing personalized solutions, and even executing fixes—all without human intervention. UiPath reports a large call center improved customer issue resolution by 14% per hour, freeing human employees for more complex interactions.
Insurance and healthcare sectors have streamlined claims management and patient care by leveraging agentic AI to validate claims, detect discrepancies, and expedite resolutions, significantly reducing manual labor and processing times. Similarly, manufacturers use agentic AI to continuously monitor Internet of Things (IoT) sensor data, proactively addressing potential issues and preventing costly downtime.
Orchestration with RPA
It is important to note that Agentic AI doesn’t replace traditional RPA, it enhances it. UiPath emphasizes that agentic AI serves as the brain while RPA bots act as the body that actually executes routine tasks as directed by the agent. This collaboration allows businesses to automate even more complex processes, blending AI-driven intelligence with robotic precision and speed.
However, the power of Agentic AI brings complexity. As businesses deploy multiple agents, effective orchestration becomes vital. UiPath CEO Daniel Dines states succinctly, “Without orchestration, there is no agentic AI.” Effective orchestration ensures multiple agents and bots can interact seamlessly, coordinating tasks, managing data flows, and maintaining governance, security, and compliance.
Preparing Your Business for Agentic AI
For document- and process-intensive enterprises, Agentic AI will become a standard tool over the coming 3 years. To prepare, UiPath recommends starting the journey now with the following steps:
- Educating your teams: Understand Agentic AI’s capabilities and brainstorm potential applications within your enterprise.
- Launching pilot projects: Start with manageable processes, such as document verification or simple data-driven decision-making tasks, to learn and build confidence.
- Investing in the right infrastructure: Ensure you have robust platforms for agent orchestration, governance, and integration with existing systems.
- Upskilling your workforce: Train employees to collaborate effectively with AI agents, redefining roles to focus on oversight and strategic tasks rather than repetitive processes.
Keypoint Intelligence Opinion
Agentic AI represents more than just technological advancement—it signifies a fundamental shift in how enterprises operate, combining human creativity and judgment with AI-driven efficiency and autonomy. Those businesses that begin to adapt now will be at the forefront, turning complexity into competitive advantage.
You want to be there.
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