Autonomous Agents: Opportunities and Challenges for Businesses

Technology

Artificial Intelligence

Autonomous agents are artificial intelligence-based systems capable of making decisions and executing tasks independently, without constant human intervention. These agents simulate intelligent behaviours and can interact with other systems or people to fulfil specific objectives within a given environment.

With the integration of autonomous agents into modern automation processes, we have seen an exponential increase in the tasks to be processed and optimised. We have moved from storing documents to processing emails and generating personalised and automated responses, completely transforming the way we interact with information and applications.

When we talked about how autonomous agents are helping to automate processes, we saw that agents are transforming the way companies execute and optimise their tasks. We moved from working with rigid, methodical processes to flexible automation, with agents acting as conductors and tools that streamline data processing and user interaction.

However, the rapid evolution of this technology creates a challenge that we need to address: how can we integrate these services effectively and without affecting our business? With this integration, companies will be able to maximise the benefits and reduce the drawbacks of using autonomous agents in current workflows, fostering a healthy and effective integration into the work environment.

How to integrate autonomous agents into companies efficiently and without causing disruption to existing systems?

A change in a consolidated workflow is never simple. It is common to face integration issues with the different modules of a workflow that, up until now, functioned like a well-oiled machine. If that change also involves the inclusion of new technology, we need to carefully analyse the risks that may arise and where we can achieve greater efficiency. Let us remember that we always seek to improve what exists through greater autonomy.

Typically, we aim to integrate autonomous agents into manual processes where too much time and value are being lost. These processes often have not been optimised in years, likely using outdated technologies and carrying a high load of technical debt. These systems, known as legacy systems, are particularly difficult to update, but they work and serve an important role in the company.

Although there are various definitions, we can find several clear characteristics that help us identify a legacy system:

They are costly to maintain, requiring specialised maintenance processes.
Adding new features cannot be done flexibly, which means having to create specific projects for such integration.
The technology is outdated, has not been updated, and may even pose potential security risks.

Does that mean that you cannot integrate autonomous agents into a legacy system? Quite the opposite. This is precisely where a major opportunity lies, but it must be approached appropriately. This is why these integrations must be thoroughly analysed to minimise errors or delays in the project.

There are several essential steps when it comes to integrating autonomous systems:

Start small, scale smart. Pilot projects to test the feasibility of integrations are essential to avoid consuming resources on unnecessary work. It is better to fail early and cheaply than late and expensively.

The value lies in the data. The quality of the data obtained is crucial for the agent’s effectiveness and for making the right decisions.
Assessment teams. Working with the different departments involved in a process to analyse use cases is vital to detect the tasks to be automated, thus optimising costly and non-valuable processes.

Prioritise clarity. There is no point in having an agent who does not express his reasoning in a simple and understandable way for users. The agent's response should be concise and reasoned. Take advantage of the latest advances in language processors and Generative AI: AI is able to reason and process complex information in seconds.

Opportunities to integrate autonomous agents in companies

Integrating autonomous agents into your current system may present certain challenges, depending on the obsolescence of the system. However, the benefits of delegating certain functions to agents are significant.

They are supported by an invisible helping hand that guides them without them even knowing it.

Improved decision-making
Data analysis provided by autonomous agents can generate valuable insights in seconds, improving decision making.

Example: Imagine an agent that analyses your inventory and predicts when a product will run out, notifying you in advance so you can restock and avoid losing sales.

Automation of repetitive tasks
Agents can handle repetitive and monotonous tasks, improving employee productivity and the quality of service provided to customers.

Example: An agent can manage and sort your emails, prioritising the most urgent ones while you focus on higher-value tasks.

Improved customer experience
Process automation also improves customer satisfaction by reducing response times and providing a more efficient service.

Example: An autonomous agent can handle customer enquiries faster, improving the perception of the company.

Challenges of integrating autonomous agents in companies

While the benefits are clear, there are also challenges that need to be considered:

Initial costs
The investment to implement autonomous agents can be high, although the long-term benefits outweigh this cost.

Possible integration errors
Existing systems may struggle to integrate agents, which can lead to unexpected errors. Certainly, the idea of using agents for the execution of certain tasks is tempting for anyone, but if not done correctly it can negatively affect employees’ day-to-day work. An agent that does not properly integrate a workflow or a failure to understand requirements... A small error can delay an otherwise simple integration for several days or weeks.

Overcoming the challenges of integrating autonomous agents

Understanding business processes
It is essential to have a thorough understanding of the processes to be optimised. This will help to understand which tasks are best suited for automation and which could create problems if automated incorrectly.

Resource optimisation
The cost of deploying autonomous agents must be efficient. It is important to ensure that the implementation process is as automated as possible to minimise the initial investment.

The future of autonomous agents

Agents are here to stay: they are the present and the future. We do not know the limits of how far these technologies can evolve, and although many face a certain resistance and fear when it comes to delegating their work to these tools, the opportunities they offer are essential for staying competitive and providing the best possible service to increasingly demanding customers.

Agents can be integrated into any system, even the most outdated ones, with the necessary dedication. And while they also present risks that we must identified and controlled, their potential and the benefits they bring to a company are virtually limitless.

Technology

Cybersecurity and Privacy Artificial Intelligence

Protecting voice communications privacy and security from synthetic voice threats

Synthetic voice is a growing threat. Telefónica’s DL2 team has developed technology that detects AI-generated voices and protects your identity—all processed locally to ensure full privacy.
Read how here

05/12/2025

Autonomous Agents: Opportunities and Challenges for Businesses

Explore our next research