April | 2021

                     Application Type    

                                        Definition                                            Use Cases

                  Process-enabled

Automates manual or paper-based processes to increase the efficiency of operations

Meeting room bookings, employee onboarding, supply-chain management, invoice processing, order management

                  Data-centric

Handles a vast amount of information and provides one single source of truth

Internal rules and regulations, report applications, auditing and monitoring, lead management

                  AI-enabled

Use artificial intelligence and machine learning to automate complicated processes

Asset grading, load request processing, medicine tracking,customer support

                  UI/UX-focused

Offer an ultimate user-friendly experience  Customer portal, student portal, self-service administration, agent/broker portals,legacy system migration

         Technology

           Definition

           How It Works

                     Use Cases




Business Process Management (BPM)
A software solutionthat helps organizations manage and automate business processes to improve productivity and corporate performance. BPM is considered a critical component of operational intelligence as it bridges the gap between IT and business. Skilled business people perform complex process modelling. The execution is based on BPMN 2.0 or flowchart diagrams and detailed business rules. Expense reporting,customer requests and service orders,compliance management

 

Robotic Process Automation (RPA)

A software that replicates human actions, interacting within a computer environment to perform a variety of everyday work tasks A computer works as an agent to emulate human actions, interacting within a platform to perform a variety of repetitive task. RPA uses screen scraping and other technologies to create specialized agents that can automate repetitive tasks Invoice processing, payroll, HR information processing


Artificial Intelligence (AI)

Machine Learning (ML)

Technologies that are ideal in complicated situations where huge data volumes are involved and humans need to make decisions Algorithms, using historical process/transactional data, are trained to optimize and automate existing processes. AI/ML-enabled systemsare capable of performing complex tasks that require extensive human thinking and activities. Analytics and reporting, risk management, decision-making investment predictions
Enterprise Low-Code and Hyper-Automation: A Revolution in Digital Transformation

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