Using Technology to Streamline Business Processes and Improve Decision Making 

Almost every company spends time performing tedious or repetitive tasks rather than those that offer more strategic value. Work such as filling out forms, answering the same question repeatedly, or transcribing information from one system into another can bog down productivity. These tasks can also prevent employees from engaging in higher-value work, such as interacting with customers, conducting research, or finding and acting on insights from data.

As a leading intelligent automation consulting services company, CTG has seen first-hand how automation technology can enhance customer experiences and lift the burden of routine tasks from employees, increasing productivity, improving morale, and letting employees focus on strategic work. Through robotic process automation (RPA), artificial intelligence (AI), machine learning (ML) and test automation, intelligent automation offers more scalable, secure, and faster processes. AI also provides the ability to gain insights and make decisions across the enterprise more rapidly.

According to Gartner, hyperautomation—an approach that uses technology like RPA and AI to rapidly identify, vet, and automate as many processes as possible—will be critical for organizations that want to survive in a digital-first world. In fact, they predict that by 2024, this trend will lead businesses to adopt at least three types of hyperautomation software and, by combining this software with optimized operational processes, will lower operations costs by 30%. So how can businesses leverage intelligent automation to accelerate digital transformation?

The First Step: Process Documentation

The first step in any automation effort is understanding the business processes—including the individual work activities and the overall workflow—that exist today. Methodologies such as Business Process Model and Notation (BPMN) and software like Nintex Promapp® provide a consistent way to document and discuss those processes, along with opportunities for optimization and automation.

Once well-documented, highly scriptable processes are in place, the automation journey can be defined. An ideal business process automation journey identifies quick wins and includes robust change management. With the plan in place, organizations can implement intelligent automation solutions using tools such as a software robot (e.g., UiPath), workflow automation software that can streamline processes (such as Nintex and Microsoft Power Platform, including Power Automate, Power Apps, etc.), Electronic Data Interchange (EDI) integration(s), or AI assistance (e.g., Microsoft Azure Cognitive Services).

Robotic Process Automation

RPA optimizes business operations by having a software robot perform repetitive, rule-based business activities. For example, imagine a sales person must enter a pursuit both in a CRM system and in a revenue forecasting system. Instead of typing the details in both, the sales person could fill out a master deal sheet and then press a button to populate both systems. RPA works well with structured data and repeatable, well-defined tasks. RPA can benefit an enterprise through:

  • Efficiency/Target

    Increased focus on value-add rather than repetitive tasks

  • Growth Improvement

    More scalable processes to promote growth

  • Process

    More efficient processes

  • Analytics

    Higher quality, more predictable outcomes

RPA implementation offers a way for organizations to start or expand automation initiatives at the individual employee level. Those who are closest to business processes and know them best can leverage tools like UiPath’s robots to create individual automations. Then, these automations can be assessed to determine if they can provide benefits to additional teams and be expanded to realize the greatest value across the organization. This method empowers employees to lift the buden of manual tasks, increasing their productivity and allowing them to focus on more satisfying tasks, and ultimately driving business impact.

Workflow Automation

Whereas RPA focuses on the individual tasks, workflow automation uses technology to connect these tasks to accelerate and streamline an entire business processes. For example, it could be used to automate the pricing approval process for a new opportunity, from sending the reqest, approving or rejecting the request, notifying the requester, and updating the CRM entry appropriately. This automation improves employee collaboration and productivity by moving work seamlessly across systems and people so it is done by the right person, at the right time, and decreasing bottlenecks. Working together with automation technologies like RPA, it simplifies and increases the efficiency of work processes while eliminating human error. By reducing manual and paper-based processes, organizations can save time and money, and redirect resources to new and more strategic priorities. Workflow automation software like Nintex is making it easier than ever for businesses to streamline processes. No longer is an in-depth knowledge of code required; users can visualize their processes and automate workflows with a few clicks. These low-code and no-code solutions are helping businesses digitally transform faster and be more agile when adapting to changing needs, while also reducing the need to hire a full-time developer.

Artificial Intelligence

Processes that are more repeatable and structured are optimal candidates for RPA and workflow automation; AI can help with unstructured data and unscripted queries. For example, a sales person could ask how changing a contract’s structure would impact commission. Previously, operations might have answered the sales person’s question. With AI, a chatbot could provide the same answers.

AI is not just one technology, but rather multiple technologies working together to enable machines to take in inputs (to “see” or “hear”), to then understand probable outputs (“learning”), and then act based on the “experience” gained. AI uses learning, reasoning, and self-correction to determine how to answer questions, predict the future, and make decisions.

This Machine Learning (ML) takes place through tools such as:

  •  Optical character recognition (OCR)
  • Natural language processing (NLP), to “understand” speech and writing (such as voice recognition)
  • Image recognition, to analyze images to perform a task Sentiment analysis, to understand how the speaker is feeling

That learning then determines output, which could come in many forms, such as:

  • An answer from a chatbot
  • A decision that determines how a variable process moves forward
  • A data analysis
  • A prediction of customer behavior

AI lets organizations:

  • Automate decision making
  • Create actionable insights and forecasts
  • Provide digital assistance
  • Work 24x7
  • Determine and take calculated risks
  • Further optimize processes
Accelerate Your Digital Transformation with Intelligent Automation 

Intelligent Automation is not just a digital accelerator, but rather a necessary strategy to compete for the future. CTG provides Intelligent Automation Services that can help you leverage RPA, AI, BPMN, and Test Automation to streamline and optimize processes, accelerate and improve decision making, and reduce costs and time associated with manual tasks. Our intelligent automation experts have hands-on experience in providing IT automation solutions that truly benefit your business.

As a leading intelligent automation consulting services company, we leverage partnerships with best-in-class automation technology providers, including UiPath, Prohecy Labs, Microsoft, Nintex, Ranorex, Keysight Technologies (Eggplant DAI), and Visual Paradigm.

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