This article is the second part of our series "The New Generation of Digital Workforce: AI Agents in Procurement." In the first part, we explored the fundamental differences between AI agents and generative AI assistants, and understood why they represent a paradigm shift in automating procurement processes.
In the first part, we saw how an AI agent's response differs from that of a classic AI assistant when asked, for example, to prepare a sales report. The difference is dramatic: while the assistant passively waits for data and instructions, the agent actively connects to systems, analyzes data, and independently executes the entire process.
But how does all this work behind the scenes? What enables an AI agent to act in such an autonomous way? And how can these advanced technological solutions be implemented in a real procurement environment? In this second part of our article, we'll answer these questions.
What makes an AI system a true "agent"? The following five essential building blocks are required:
The true innovation of the Fluenta One platform is that it doesn't just use AI, but fills procurement processes with real agents. These digital colleagues work tirelessly, precisely, and intelligently in the background:
These are not simple automation processes, but digital colleagues with real intelligence and decision-making authority, who perceive, evaluate, and act – under continuous human supervision, but with minimal daily intervention.
Why is it worth integrating AI agents into procurement processes? The experiences are convincing:
How should an organization begin integrating AI agents? Our experts recommend four simple but essential steps:
You don't need to transform the entire procurement process immediately. Start with repetitive, well-definable, but human attention-intensive areas where automation can create immediate value. Most commonly, these include supplier registration, pre-screening of quotes, or contract renewal processes.
Initially focus on a single, clearly defined area of responsibility. Start with a simple agent architecture, and gradually expand its capabilities. The most successful implementations always follow the principle of organic growth built on simple successes.
Safety and verifiability are key. Design security mechanisms and human review points from the very beginning – especially for high-risk or irreversible operations.
Agents can be continuously developed and fine-tuned. Collect regular feedback from users, and use this to fine-tune the agents' operations. The patterns learned this way further increase efficiency and reduce the possibility of errors.
In the world of procurement technology, AI agents represent the next big leap – transcending the limitations of traditional automation and passive AI assistants. These intelligent, independent digital colleagues can transform the entire procurement process, while operating under human supervision.
In the Fluenta One system, AI agents are not promises of the future – but a working reality today. Our platform integrates the benefits of agents, the workflow engine, and customizable processes, creating a procurement environment where human expertise and machine intelligence work together in perfect harmony.
In our next blog post, we'll show how we design specific AI agents tailored to specific customer needs, solving real procurement challenges.
Are you ready to transform your procurement processes with the help of AI agents? Contact our experts and experience what Fluenta One's AI-driven platform can do to solve real procurement challenges!