Intelligent Business Process Automation
Bautomate is a low-code drag-and-drop modeller that allows both technical and non-technical users to create workflows using in-house prebuilt components with no third-party dependencies. This directly translates to cost savings for the customer because they no longer have to pay for the integration of these applications or invest in costly resources to manage the system.
Here’s how to put them to use to increase productivity and efficiency, reduce operational risks, improve customer experiences and cognitive insights.
Companies have used lean management to simultaneously improve cost efficiencies, customer satisfaction, and employee engagement, and many programmes have had a significant impact on all dimensions. Digital progress, on the other hand, has been more uneven.
Intelligent Business Process Automation (IBPA) is the combination of fundamental process redesign (Workflows), robotic process automation (RPA), and machine learning (ML). It is a collection of business-process enhancements and next-generation tools that help knowledge workers by eliminating repetitive, replicable, and routine tasks. It can also significantly improve employee and customer journeys by streamlining interactions and expediting processes.
IBPA mimics human activities and, over time, learns to do them even better. Traditional rule-based automation levers are being enhanced with Bautomate’s decision-making capabilities as a result of advances in deep learning and cognitive technology. The promise of IBPA is significantly increased efficiency, higher worker performance, lower operational risks, and improved response times and customer journey experiences.
Bautomate encompasses core technologies
Intelligent Robotic process automation (IRPA)
This is a software automation tool that automates routine tasks like data extraction and cleaning by utilising existing user interfaces. The robot, like a person, has a user ID and can perform rule-based tasks like accessing email and systems, performing calculations, creating documents and reports, and checking files. RPA assisted one of large retail chain to download account statement from more than 30 merchant portals and reconcile the statement on a monthly basis, freeing up 81% of finance teams effort to perform core financial activities.
Machine learning/advanced analytics
algorithms that use “supervised” and “unsupervised” learning to discover trends in structured data, such as daily performance statistics. Before making predictions based on fresh inputs on their own, supervised algorithms learn from structured data sets of inputs and outcomes. Unsupervised algorithms look at structured data and start to provide insights into patterns that are recognized. For insurers, for example, machine learning and advanced analytics might be a game changer in the quest to improve compliance, decrease costs, and gain a competitive advantage from fresh insights.
Natural-language Processing (NLP)
allows computers to understand natural language in the same way that humans do. Natural language processing, whether spoken or written, employs artificial intelligence to take real-world input, process it, and make sense of it in a way that a computer can understand. Computers, like humans, have different sensors, such as ears to hear and eyes to see, and microphones to collect audio. And, just as humans have a brain to process that input, computers have a programme to do the same. At some point during the processing, the input is converted to computer-readable code. It has a variety of real-world applications in a number of fields, including medical research, search engines and business intelligence.
Some of the core functions
BPA is a step ahead of RPA in that it can assist firms with workflow modelling, optimization, and orchestration. BPA is meant to automate many components of a process from start to finish.
Business process modelling –
Manage & execute a specific task –
Drag & drop connectors –
Create and run multiple tasks –
Role based access control –
Identify the business issues, trends and opportunities
– Automated actions
– Workflow engine
– Monitor multiple tasks
– Operational metrics
– Analytics & Reports
– Monitor every element in the workflow
- Business process modelling
- Manage & execute a specific task
- Drag & drop connectors
- Automated actions
- Workflow engine
- Monitor multiple tasks
- Create and run multiple tasks
- Role based access control
- Identify the business issues, trends and opportunities
- Operational metrics
- Analytics & Reports
- Monitor every element in the workflow