RPA, AI, and traditional automation: how to transform your operations without falling for fads
Digital transformation is no longer optional, it’s a competitive edge. But in a world where technology evolves faster than we can keep up, understanding the types of automation and the technologies involved is crucial to invest in the right, long-term solution.
In this post, we’ll break down the differences between traditional automation, RPA (Robotic Process Automation), and Artificial Intelligence and how combining these technologies can strategically transform your business operations.
What Is Traditional Automation and Why It Still Matters
Traditional automation is the backbone of process automation: scripts, ERP systems, automated spreadsheets. It handles repetitive tasks well but becomes rigid when conditions change. Still, it remains essential for ensuring basic operational efficiency in many sectors.
RPA: The Tireless Executor of Smart Automation
RPA adds a new layer to automation. It mimics human actions, performing tasks across systems without manual input. According to Deloitte, companies that implement RPA increase productivity by 78% and improve customer experience by 59%.
Is it smart automation? Almost. RPA performs but doesn’t think. That’s why it should be used in clearly defined processes, ideally paired with more analytical technologies like AI.
Artificial Intelligence: The Brain Behind the Processes
AI enables systems to learn from data, make decisions, and adapt to change. When integrated with RPA, it creates truly intelligent processes: AI analyzes and decides, RPA executes with precision. This elevates automation to a new level—more adaptable, more strategic.
Smart Automation: How to Combine Everything for Real Results
Intelligent processes blend:
- Traditional automation for standardized tasks;
- RPA for repetitive execution across systems;
- AI for data analysis and decision-making.
This combination reduces costs, improves scalability, and boosts operational efficiency. McKinsey reports that smart automation can reduce operational costs by up to 30%.
At Verzel, we've applied this model across clients in various industries, always aligning with each business's timing and goals. Because automating for the sake of trend is burning money. Automating with purpose is scaling with intelligence.
If your company is trying to automate but not seeing results, it’s time for the next step: talk to Verzel.
Let’s build a solution that goes beyond technology, a solution that truly transforms your operations.
Sources:
McKinsey & Company: The future of work after COVID-19
Deloitte: Automation with intelligence