RPA and artificial intelligence: the path to smarter automation

Collaboration between a person and a robot: RPA extracts, validates, transfers and updates data; AI interprets, classifies, analyzes and supports decisions, connected to ERP, CRM, systems and reports.

Business automation is evolving. Today, organizations don’t just want to run repetitive tasks faster; they also want to process information, identify patterns and respond to increasingly complex situations. In this context, robotic process automation (RPA) and artificial intelligence (AI) become tools for optimizing operations and making better use of technology resources.

A close-to-home example is Colombia’s Ministry of the Interior. Its procedures relied on manual work and paper documents, with all the cost, errors and fraud risk that entails. With AuraQuantic, it digitized and automated its procedures, including its Online Certificate, and now reports an average cost reduction of 80%, 98% fewer errors and 83% more analytical capacity. As its IT lead puts it, the platform has allowed them to consolidate their paperless policy and curb fraud.1 This case shows how intelligent automation can optimize operational processes and free up time for higher-value activities.

Although both technologies contribute to automation, they serve different purposes. RPA executes tasks by following predefined rules and instructions, such as moving information between systems, generating reports or updating records. Artificial intelligence, on the other hand, makes it possible to interpret information, recognize patterns and support decisions—for example, by analyzing documents in different formats or classifying customer requests.

RPA

Executes tasks by following predefined rules and instructions.

  • Moving information between systems
  • Generating reports
  • Updating records
AI

Interprets information, recognizes patterns and supports decisions.

  • Analyzing documents in different formats
  • Classifying customer requests

The key isn’t always choosing one technology over the other, but orchestrating them. AuraQuantic combines the advantages of no-code with the power of low-code and generative artificial intelligence, automating and orchestrating processes, systems and human teams on a single platform, with capabilities such as intelligent document processing and process mining.2 Its assistant, AuraQuantic Q, built on a multi-agent architecture, helps users query and analyze information and manage tasks, and the platform can generate process diagrams with AI.3 This way, organizations can automate processes that require both interpreting information and executing tasks, adding validations and human review when needed.

This approach is already backed by analysts: QKS Group named AuraQuantic a leader in its 2026 SPARK Matrix™ for Intelligent Process Orchestration, highlighting its ability to orchestrate both structured and ad hoc processes on a single platform.4 It also has results in Colombia: Grupo EPM’s Shared Services Center cut travel management time by 80%, improved compliance with its service level agreements by 84% and lowered the cost of the service by 50%.5

The right choice depends on the needs of each process. If a task is repetitive and follows clear rules, rule-based automation may be enough. If it requires interpreting variable information, AI can add further capabilities. And if the process needs both, integrating them can enable more complete automation. To make this decision, it’s important to assess operating times, workload, exceptions, existing systems and the results you expect to achieve.

At Todosistemas STI, digital transformation starts with understanding each organization’s challenges and the opportunities technology offers to improve its operations. As AuraQuantic partners, we model, automate and orchestrate processes end to end, combining rules, artificial intelligence and human review. Integrating solutions, automating and making the most of data can help build processes that are more agile, connected and ready for new challenges.

Because automation isn’t just about doing tasks faster—it’s about finding better ways to work and create value.

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References

  1. AuraQuantic. Colombian Ministry of the Interior. auraquantic.com/es/clientes/ministerio-del-interior-de-colombia
  2. AuraQuantic. No-Code BPA Software with AI. auraquantic.com/es
  3. AuraQuantic. Generative AI Solutions for Businesses. auraquantic.com/es/soluciones-de-inteligencia-artificial/ia-generativa
  4. AuraQuantic. AuraQuantic, Leader in the SPARK Matrix for Intelligent Process Orchestration. auraquantic.com/es/recursos/auraquantic-lider-spark-matrix-orquestacion-inteligente-procesos-ipo
  5. AuraQuantic. EPM Group. auraquantic.com/customers/epm-group
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