Process automation has become one of the key enablers of sustainable growth for organizations. In a context marked by operational pressure, talent shortages, and the need to scale without expanding structures, automation is no longer just a matter of incremental efficiency, but a strategic decision that directly impacts business competitiveness.
For years, automation was associated with repetitive and administrative tasks. However, the emergence of Artificial Intelligence has radically expanded its scope. Today, companies can automate not only structured processes but also complex, unstructured workflows that were traditionally dependent on human judgment. This represents a profound shift in the way organizations operate, make decisions, and create value.
The true impact of automation lies not only in time savings, but in its ability to free teams from low-value tasks so they can focus on strategic activities, analysis, and decision-making. Effective automation requires redesigning processes, questioning how things are done, and building systems that multiply organizational capacity without the need to scale operations.
One of the main challenges companies face is the lack of clarity around what to automate and where to start. Many organizations understand the potential of Artificial Intelligence but struggle to translate it into concrete processes that deliver real impact. Without a clear understanding of bottlenecks, available data, and business objectives, automation risks remaining a collection of isolated initiatives with no tangible return.
In this context, the distinction between automating existing processes and designing systems that increase business capacity becomes especially relevant. It is not just about doing the same things faster, but about rethinking workflows to achieve results that were previously unfeasible: greater volume, greater personalization, and greater impact with the same resources.
Adopting automation also requires a new organizational mindset. Companies must view it as a cross-functional pillar that connects operations, sales, marketing, and customer service. This implies having high-quality data, well-defined processes, and a culture oriented toward continuous improvement. Without these foundations, even the most advanced technologies lose effectiveness.
In this episode of Digital Talks by t2ó ONE, Esther Checa speaks with Jaime Cervera, co-founder of IA Corp, about how companies can approach process automation in a practical and realistic way. With extensive experience leading automation projects across organizations in different sectors, Jaime offers a clear perspective on how to scale results without increasing operational complexity and how to integrate artificial intelligence to generate real value.
🎧 What you will hear in this podcast:
- What process automation truly is and why it is not entirely new.
- How Artificial Intelligence enables the automation of unstructured processes.
- Which tasks are usually the first candidates for automation.
- Real automation cases with tangible impact on time and results.
- The role of Artificial Intelligence agents compared to traditional workflows.
- How to identify whether a company is ready to start an automation journey.
- Practical recommendations for getting started with automation confidently and with strategic focus.
We await you at Digital Talks by t2ó ONE! The episode is now available on Spotify, Apple Podcast, YouTube, and iVoox. 🎧
If you enjoyed this episode and found it useful for your business, don’t miss the other episodes. Learn from the best and discover new insights for your company.🤓
