Global business leaders are searching for technology that will offer gains in efficiency and cost-savings as they plan for the post-pandemic world. This implies that process automation technologies like robotic process automation (RPA) and intelligent process automation (IPA), (also known as intelligent automation or simply IA) will continue to gain popularity.
Have you started using robotic process automation RPA but been unable to scale? Are you searching for faster, more efficient methods for managing your processes, such as intelligent automation (IA), but do not know where to begin?
This article dives into this concept head-first, laying out the components you’ll need to build a strategy-first roadmap for RPA and IA.
Step 1: Build the Plan - Discovery Stage
It is an important consideration when looking for a provider. For instance, the Bautomate Intelligent Automation Platform gives you total control of your processes, allowing you to manage everything from one convenient dashboard – no matter what platform you’re using – a single pane view of process automation, creation, execution, and orchestration. It is possible to achieve both short-term wins and long-term success with this kind of comprehensive management.
Step 2: Create an Automation Design Structure - Design Stage
A well-built governance structure is crucial to transformational technology. A healthy governance strategy gives you the ability to scale, provides a framework for managing risks, and provides everyone with a platform to work from. It is important to include a few key elements in your governance framework regardless of your organization’s specific risks or goals.
Step 3: Test & Monitor System Performance - Analysis Stage
As part of this journey, you begin to build bots that will automate certain tasks you have given. Some of these steps may require coding, but tools designed for business, such as Bautomate, can simplify this step with drag-and-drop interfaces. Once developed, the bot can be tested.
A user acceptance test (UAT) is an assessment of how the automation performs once it has passed the test, and then it is considered ready for deployment if it passes. If it fails, the automation is returned to development to correct the problem.
Step 4: Deploy Your Process Automations - Development
At this stage, research suggests modest initial implementations that will then be scaled to larger operations in the future. Automation is not static but a process requiring ongoing maintenance and optimization.
Step 5 : Measure and Monitor: Scale Stage
There are a wide variety of individual factors that can affect a company’s ability to scale its process automation technology, but most of them can typically be traced back to one of the first five steps of the roadmap. Scaling depends on executing each of these stages of implementation in a way that gives them all the attention and consideration they deserve.
A comprehensive roadmap is essential to success This kind of roadmap can be a challenge, but we believe it ought to be done. It is important to approach process automation not casually, but with careful consideration for the road ahead, as well as the ones that have not yet been paved.
Intelligent Process Automation Tools and Technology Framework
Intelligent Hyperautomation injects automated technology into every aspect of the business, as opposed to a one-off exercise. Hyperautomation isn’t limited to the tools used in the execution of a process itself, but explores technologies that support each stage of process automation including:
Business Process Automation
BPA helps organisations to optimise end-to-end business processes such as HR, accounts payable, document management, IVR, and other processes to meet strategic objectives. Information is exchanged and extracted through various systems requiring database access, APIs, coding, and development support.
Document Management System
Unlock business information from static documents by automating your document management system. Avoid spending time in managing voluminous documents as DMS can scan, capture and organize business documents storing them securely in the cloud.
AI Enabled OCR
Intelligent Data Capture and Extraction with AI-enabled OCR . AI-assisted data extraction from documents can evaluate and classify data characters such as words, numbers, alphanumerics, pictures, bar codes, QR codes, and so on.
Robotic Process Automation
Every Business, Any Process Bautomate’s robotic process automation platform supports AI capabilities to meet business needs without a significant upfront investment. An easy-to-use platform with a low-code implementation allows it to adapt to changing business environments.
Artificial Intelligence and Machine Learning:
While RPA is the leading expert at applying strict rules to structured data sets, AI and ML can learn from more freeform, unstructured data. This tech can learn from behaviours and outcomes to adapt and improve its knowledge base over time.
Accelerate the speed of app and service development by using suites of low-code tools. Instead of relying strictly on IT or esoteric programming languages, everyone on your team can contribute to development using easy, user-friendly visual building blocks.
About the Bautomate Intelligent Automation Platform
The Bautomate Intelligent Automation Platform is an easy-to-use, cloud-based business process automation solution designed for business users who work with complex business workflows.
A natively developed platform that integrates Process Intelligence, Robotic Process Automation, and IPA, along with a design centred on orchestration, offers critical insights to help businesses make better decisions and gain complete visibility into all aspects of their businesses—resulting in optimal productivity and performance.
To learn more about what kind of outcomes the Bautomate IAP can deliver for your business, schedule a free demo.