In the digital world, many flaunt their AI projects, but they have probably missed the point of the real revolution. What if you’ve been looking in the wrong direction all along? What if the key to market dominance is not just AI (Artificial Intelligence), but more importantly IA (Intelligent Automation), which most companies have no idea about?
What does IA actually mean in practice?
Intelligent Automation (IA) is not just a buzzword – it is a concrete approach that combines artificial intelligence with process automation to create more sophisticated, adaptive and “intelligent” workflows. In practice, this means:
AI-enhanced automation platforms that can process unstructured data and adapt their behaviour to different situations
Process robots with machine learning features that continuously improve and optimize their operation
Predictive analytics tools that not only automate reporting, but also predict trends and suggest proactive measures
Adaptive workflow systems that can adapt to process changes without the need for manual reprogramming
Simply put: While traditional automation tools work according to fixed rules, IA can “learn on the fly” and adapt to changing conditions.
Where specifically can your business use IA tomorrow?
1. Finance Department
Traditional approach: accountants spend hours categorising invoices and expenses.
Classic automation: an automated system that processes invoices according to predefined rules but fails on non-standard documents.
IA approach: a system that not only processes documents, but also learns from previous cases, can recognize non-standard formats, and continuously improves its accuracy without manual reprogramming.
With Modulario, you can implement intelligent OCR that not only reads invoices, but also learns from user corrections, increasingly accurately recognizes cost centers, and adapts to new document formats without the need for complex programming.
2. Sales Department
Traditional approach: salespeople spend hours preparing quotes and price calculations.
Classic automation: a system with predefined templates that generates standardized quotes.
IA approach: a platform that learns from successful offers, adapts pricing strategies to current market conditions, and automatically personalizes content for different types of customers.
With Modulario, you can create an intelligent system that automates routine tasks (document generation, deadline tracking) while continuously learning from customer behavior data, allowing for increasingly accurate predictions and recommendations.
3. Production and logistics
Traditional approach: planners manually optimise production schedules and routes.
Traditional automation: a system with fixed algorithms for scheduling.
IA approach: Adaptive scheduling system that learns from historical data, takes into account current conditions, and can adapt to sudden changes without the need for reprogramming.
Modulario enables you to create a system that not only displays key metrics in real time, but also learns from operations, identifies patterns and predicts potential bottlenecks with increasing accuracy, while decision-making authority remains in the hands of experienced managers.
4. Customer support
Traditional approach: operators have to go through customer records at every contact.
Traditional automation: basic chatbots with pre-programmed responses.
IA approach: a system that analyzes customer history, learns from previous interactions, and continuously improves its ability to predict customer needs and design solutions.
In Modulario, an environment can be created where the operator sees the complete customer history, but also AI-generated predictions and recommendations that continuously improve with each case resolved, allowing for more personalized and efficient service.
5. Project Management
Traditional approach: project managers manually track tasks and deadlines.
Traditional automation: project management system with fixed workflows.
IA approach: an adaptive project platform that learns from the progress of previous projects, identifies potential risks, and automatically adjusts plans as the project changes.
With Modulario, you can implement a project platform that not only tracks tasks and deadlines, but also learns from the progress of projects, identifies patterns of success, and automatically suggests process optimizations while people are still in control of the decision-making process.
How does Modulario enable IA in your company?
Flexible adaptation to your processes
Unlike many rigid automation tools that require you to customize your system processes, Modulario adapts the technology to your unique needs. This allows you to:
- Automate processes as they actually happen, not as developers say they “should” happen
- Progressively improve the system based on user feedback and changing requirements
- Combine hard rules with machine learning features for optimal results
Intelligent automation with learning
Modulario is not just about automating existing processes, but about continuously improving them:
- Automate routine tasks and analysis with increasing accuracy
- It learns from user interactions and continuously optimizes its operation
- Identifies recurring patterns and suggests additional areas for automation
Integrates with your existing systems
Connecting different data sources and systems is key to effective IA:
- Modulario integrates easily with accounting, CRM and ERP systems
- Creates a unified environment for automation across multiple platforms
- Eliminates “data silos” and enables a holistic approach to business process automation
Gradual evolution instead of revolution
Implementing IA with Modulario does not require a complete transformation overnight:
- Start with automating a single process or department
- Measure results, collect data and optimize
- Gradually extend successful solutions to other areas
Synergistic revolution under your nose
The most progressive organisations have long understood that the choice between AI or automation is a false dichotomy. Instead, they’re building ecosystems where:
- Classic automation eliminates routine, simple tasks
- Artificial intelligence adds adaptability and learning capability
- Intelligent automation (IA) combines both technologies to create systems that are robust and flexible at the same time
Practical example: transforming the billing process
Imagine a medium-sized manufacturing company. The traditional supplier invoice process looked like this:
- An assistant manually transcribed invoice data into the accounting system.
- The accountant checked the categorisation and posting for accuracy
- The manager approved the invoices for payment
- The whole process took an average of 5 days and was prone to errors
Using the IA approach implemented in Modulario, the process looks like this:
- The system automatically digitizes and recognizes invoice data using OCR.
- The IA component learns from the corrections made by the accountants and becomes increasingly accurate in categorising items and assigning cost centres
- Workflow automatically routes invoices to the correct approvers according to the learned rules
- System identifies unusual invoices or potential duplicates and flags them for human review
- The entire process now takes less than 1 day, with processing accuracy continually improving over time
This approach has led to increased efficiency in document processing, significantly reduced errors and freed staff from monotonous work, allowing them to focus on analytical and strategic tasks.
How to get started with IA in your company?
- Identify processes with high potential for automation – look for repetitive, time-consuming and rule-based activities
- Analyse process variability – processes with high variability are ideal for intelligent automation that can adapt to different situations
- Start with one specific use case – select a process that will deliver fast and visible value
- Involve end users from the start – their feedback is key to continuous system improvement
- Measure results – track both quantitative (time, cost) and qualitative (employee satisfaction, accuracy) metrics
- Iterate and improve – IA is not a one-time project, but a continuous journey
A call to conclusion
How many opportunities has your business missed because it has been obsessed with either simple automation that fails to deliver any change, or complex AI projects with no clear business impact? How many competitive advantages have you ceded to bolder rivals?
Maybe it’s time to stop deciding whether to invest in traditional automation or AI and start building an ecosystem where these technologies work together to create something that is more than the sum of its parts – intelligent automation that adapts, learns and grows with your business.
Modulario can be your partner on this journey – a platform that combines the power of automation with the adaptability of AI to create truly intelligent, self-learning systems.
Want to discover how intelligent automation could transform your business? Book a no-obligation 30-minute consultation, during which we’ll work together to identify the processes with the greatest potential for IA and suggest concrete steps to optimize them.
- Milan Cák
