Interactive Intelligent Process Automation

Interactive Intelligent Process Automation (IIPA) is an innovative, drag-and-drop, cloud-based product designed to automate big data analysis. This solution empowers businesses and individuals, particularly small and medium-sized enterprises (SMEs) to create their own Intelligent Process Automation (IPA) systems in a cost-effective, efficient, and user-friendly manner, requiring minimal technical expertise.

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IIPA: One Platform. Endless Insights

With IIPA, users can define and execute business processes through a comprehensive suite of data analysis tools, including clustering, association rule modeling, principal component analysis, fraud detection, classification, and more, all within a single, fully integrated platform. IIPA product uniqueness includes:

No-Code

IIPA provides a no-code plug and play interface for define and execute data analysis processes.

Interactive

Interactive dashboard of data analysis algorithms, like: ARM, PCA, Fraud detection, and many more.

Cost Effective

Using cost effective cloud-based resources, our product can significantly decrease short-term costs of developing IPA solutions.

Why Choose IIPA ?

Choose IIPA for a cutting-edge, cloud-based platform designed for big data analysis and intelligent process automation. Tailored for SMEs in sectors like BFSI, IIPA offers a cost-effective, drag-and-drop interface that empowers users to build personalized automation solutions without deep technical expertise. Personalization is at its core, providing data-level and process-level customization, distinguishing it from rigid “buy-your-own” models.

IIPA offers a seamless, feature-rich platform, including dataset definition, process design, execution, and model training. Standout features like customizable machine learning and deep learning algorithms ensure optimized, problem-specific models. Unlike competitors, IIPA aligns automation with business objectives, enhancing customer experiences and fitting seamlessly into organizational goals, making intelligent automation accessible and powerful.

IIPA Main Features

IIPA has the following four features

Dataset definition

Using data from various files, databases, or devices, user may define input dataset and even integrate different resources.

Process definition

In the second step, a drag and drop interface is available for defining the overall process to be automated. This process may include input node(s), mining node(s) like data integration (normalization, imputation, and cleaning), descriptive mining (clustering, PCA, ARM, and fraud detection), predictive mining (classification, regression, decision trees, and neural networks), and prescriptive mining (classification and OCR) and finally output node(s).

Process execution

The final step in process automation is running the process over one of the previously defined datasets.

Model training

As it is clear from step 2, there are many nodes that require customization over user-specific data like machine learning and deep learning-based nodes. This distinct feature is used for automatic training of the networks or algorithms so that the users can apply the methods using their own problem specific models.

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