RPA Robots versus AI Agents

Artificial intelligence is evolving rapidly, and the concept of AI Agents has become one of the most discussed topics in the industry.

AI agents are based on LLM (probabilistic/predictive) AI and promise to perform tasks autonomously, communicate with each other and even make decisions without human intervention, but is that what your business needs?

When it comes to critical business processes, full autonomy is not always the best choice.

RPA (robotic process automation) robots work integrated into ERP systems and are generally based on "Machine Learning" AI, which is deterministic.

For medium and large companies, this remains the preferred solution due to the high level of control, predictability and security it offers.

Why? Because in areas such as finance and accounting, production, operational management, predictability, accuracy and control are more important than complete autonomy.

Machine learning is a branch of Artificial Intelligence that relies on the assistance of human operators to learn from historical data and identify patterns, but without being explicitly programmed for each situation.

This type of AI is often used to automate repetitive processes, such as receiving, registering, issuing and transmitting orders, invoices, bank transactions, etc.

1. Human control vs. Unpredictable autonomy

RPA robots (with Machine Learning): They operate on deterministic models and historical patterns. When the system encounters a new or uncertain situation, it stops and asks for validation from a human operator, maintaining full control over critical decisions. AI Agents (based on LLM): They are designed to act probabilistically and autonomously. Instead of asking for help, an AI Agent can generate plausible, but completely false (hallucinations) answers or actions, misinterpreting the business context.

2. Exact predictability vs. Risk of logistical and financial error

RPA robots + ERP: Guarantee absolute consistency. Given similar input data, an RPA robot integrated into ERP will always generate the same result (e.g. processing an invoice, issuing an order), eliminating calculation errors. AI agents: Due to their predictive nature, they can make radically different decisions depending on how they process the nuances of a text. In rigid areas (accounting, production, logistics), a single “hallucinated” decision can lead to overvalued purchases or major logistical bottlenecks.

3. Complete traceability vs. The “black box” effect

RPA robots with Machine Learning offer total auditability. Every step, date used and approval can be precisely verified in ERP, clearly answering questions related to operational flow and legal regulations. AI agents: The logic behind a decision made by an LLM is often difficult to explain or follow step by step. If the agent makes a serious error due to a hallucination, the company cannot effectively justify or audit how that result was reached.

With an RPA system integrated into ERP, decisions remain under the control of the company's operators. The RPA robot acts according to what it has learned based on previously processed data, but when something new appears and is not 100% certain, it requests human assistance. Thus, the final decision belongs to humans, and in business this aspect is essential.

In critical processes, a wrong decision can have important consequences. An AI agent can interpret certain situations differently and can make autonomous decisions based on the available context.

One of the best-known examples is that of the company Zillow. In 2021, the American company used AI agent-based systems to automatically evaluate the price of properties and decide on their purchase through the Zillow Offers program. In the context of the extremely volatile real estate market, automated systems continued to buy homes at overvalued prices, based on predictions that failed to anticipate rapid changes in the market. The result? Zillow reported a loss of approximately $ 881 million, closed the entire division and laid off 25% of its employees, stopping the Zillow Offers program, thus giving up on Ai agents.

In business, processes must work consistently, regardless of context. Companies need systems that produce the same results when the input data is similar.

RPA robots are trained by human operators to identify patterns, thus providing a high degree of predictability. In areas of accounting, manufacturing, logistics, consistency is essential.

In this environment, every important decision must be explainable and verifiable.

RPA allows companies to maintain absolute control over processes and ensure complete transactional integrity of operational flows, an extremely important aspect in business.