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Automation Intelligence: An AVR Tracker Case Study
Industries
Intelligent automation (IA) is changing how we automate processes in daily business operations. Individuals who work with intelligence technologies know intelligent automation combines artificial intelligence (AI), natural language processing (NLP), and machine learning (ML). Recently, the team at AiFA Labs enjoyed a more in-depth look at how intelligent automation works as we developed a tool to streamline business operations and support complex decision-making: the Automation Value Realization (AVR) Tracker!
Problem Statement: Disparate Intelligent Automation Projects
At AiFA Labs, we integrated several intelligent automation solutions into various business processes overseen by departments on four continents. Our team encountered a few challenges when tracking, measuring, and assessing the value of each business process automation. Project data was scattered across different spreadsheets and databases, hampering our evaluation of the benefits of intelligent automation.
Current Goal: Develop an AVR Tracker to Reorganize Data
We developed our AVR tracker to collect, organize, and analyze data concerning our intelligent automation efforts in a structured, orderly fashion. The team intended to create a clear, overarching picture of how well our intelligent automation tools handled more complex tasks. Any insights from our intelligent automation software should help leadership make data-driven decisions regarding existing processes.
Action Taken: Implement Data Freezing and Management Tools
To maintain data consistency and accuracy during our quarterly reporting periods, we designed the AVR Tracker to incorporate a crucial feature: data freezing. During these reporting periods, relevant data modifications are temporarily restricted. Users can continue viewing existing data but can not make any updates or additions. This extra measure ensures the data is reliable and allows us to generate accurate reports without any last-second changes included.
The AVR Tracker empowers users to manage their automation projects effectively, capture essential details, and analyze their potential impacts and cost-effectiveness. This solution allows users to confidently track and report their automation projects' progress, aiding decision-making and strategic planning for business growth and optimization.
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Business Impact of the Intelligent Automation Tracker
Since implementing the AVR Tracker to monitor the efficacy of our intelligent automation technologies, we have gained a better understanding of how our software robots handle repetitive tasks. It has enabled us to make more informed business process management decisions and identify areas where human intelligence is still required. The AVR Tracker also helped us optimize business processes that involved computer vision, optical character recognition, artificial intelligence (AI), and other cognitive technologies. It has guided all of our later intelligent process automation projects.
Custom Features of the AVR Tracker
As a web-based application, the AVR Tracker allows users to input information about our intelligent automation systems. It also possesses different modules to capture various project details, including:
Technologies Used
Developers at Cerebro harness various cutting-edge technologies to enhance the effectiveness of the AI-powered document verification system. Our method ensures that our digital onboarding software provides a seamless and efficient user experience. Some of the core technologies leveraged for our client included:
Technologies Used
At AiFA Labs, our team employed dozens of technologies during the development of the AVR Tracker. Some of the technologies we used included:
- UI5 technology for the frontend
- Node.js for the backend
- PostgreSQL for the database
- Express.js for the server-side framework
- Amazon Web Services (AWS) for cloud services
- Simple Storage Service (S3) for data storage on AWS
Next Goal
Our team was thrilled to watch intelligent automation work and analyze the data from our AVR Tracker. We intend to refine our business process for using the tracker, identify manual tasks that could be automated, and add new intelligent automation projects to the tracker for analysis. As AI technologies continue to evolve, we expect to make significant updates to the tracker and market it to the public.
Final Steps
During the development and implementation of the AVR Tracker, many of our team members became interested in robotic process automation. We have held discussions on combining robotic process automation with our advanced cognitive technologies and collecting data with our AVR Tracker. We believe supply-chain management companies and the financial services industry will be interested in what the AiFA Labs team has in store for the future.
