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What advanced tools can you use to automate complex or dynamic processes?

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Process automation is the use of software, hardware, or a combination of both to perform tasks that would otherwise require human intervention. Process automation can help you save time, reduce errors, increase efficiency, and improve customer satisfaction. However, not all processes are simple or static. Some processes are complex or dynamic, meaning they involve multiple steps, variables, conditions, exceptions, or changes. How can you automate these processes effectively and reliably? In this article, we will explore some advanced tools that you can use to automate complex or dynamic processes.

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1 Workflow Automation

Workflow automation is a tool that allows you to design, execute, monitor, and optimize a sequence of tasks or activities that form a process. Workflow automation can help you automate complex processes by providing a graphical interface to map out the flow of the process, define the roles and responsibilities of the participants, set the rules and logic for branching and looping, and integrate with other systems and applications. Workflow automation can also help you automate dynamic processes by enabling you to trigger workflows based on events, data, or schedules, and by allowing you to modify workflows on the fly or create new ones from templates.

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Jim Giantomenico

IT Executive Leadership | Customer Centric | Unified Commerce |Strategic Solutions & Delivery | Private Equity | Strategy & Advisory
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In legacy technology stacks, workflow automation can be a key tool, especially for triggered events or timed schedules / dependencies. At Intermix, we were successful in automation of processing tasks required within and between SaaS / Private Cloud systems.

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2 Robotic Process Automation

Robotic process automation (RPA) is a tool that uses software robots or bots to mimic human actions and interactions with digital systems. RPA can help you automate complex processes by providing a low-code or no-code platform to record, edit, and run scripts that perform tasks such as data entry, extraction, manipulation, validation, and transfer. RPA can also help you automate dynamic processes by offering features such as data-driven bots, intelligent automation, and cognitive automation. Data-driven bots can adapt to different inputs and outputs based on data rules and conditions. Intelligent automation can leverage artificial intelligence (AI) and machine learning (ML) to handle unstructured data and complex scenarios. Cognitive automation can use natural language processing (NLP) and computer vision to understand and process text and images.

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3 Business Process Management

Business process management (BPM) is a tool that combines workflow automation, RPA, and other technologies to model, automate, monitor, and improve business processes. BPM can help you automate complex processes by providing a holistic view of the process, its performance, and its impact on the business goals and outcomes. BPM can also help you automate dynamic processes by enabling you to analyze and optimize the process based on real-time data and feedback, and by empowering you to implement continuous improvement and innovation.

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4 Application Programming Interfaces

Application programming interfaces (APIs) are tools that allow different software components or systems to communicate and exchange data with each other. APIs can help you automate complex processes by providing a standardized and secure way to access and integrate data and functionality from various sources and platforms. APIs can also help you automate dynamic processes by enabling you to create custom applications or solutions that suit your specific needs and preferences, and by allowing you to scale and update your automation capabilities as your business evolves.

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Austin Johnson

Using APIs and event-driven Composite AI to help anyone solve problems without the constraints of technology
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Focus will continue to move away from automation shortcuts on top of legacy systems (RPA) and towards scalable, code AND low-code platforms (ideally one platform that supports both) which work with any API. Teams need to leverage a tool in the IPaaS space. Having an Enterprise Automation Platform breaks down the silos between tools and unlocks front-line teams with the technical ability to drive their own automation plans with central oversight from an automation centre of excellence. Every team in the business should be thinking about how they can leverage APIs to build their automation practice. It will skyrocket as an in-demand skill (automation expertise).

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Jim Giantomenico

IT Executive Leadership | Customer Centric | Unified Commerce |Strategic Solutions & Delivery | Private Equity | Strategy & Advisory
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Utilizing one of the leading Integration Platform as a Service (IPaaS), Intermix was able to fully integrate with a new 3rd Party Logistics Provider leveraging APIs on both sides. The events / tasks / variables were complex and we were able to build the required business decision logic within the platform to initiate, execute, monitor, observe API interactions at scale.

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5 Scripting Languages

Scripting languages are tools that allow you to write and execute code that automates tasks or operations on a computer or a network. Scripting languages can help you automate complex processes by providing a flexible and powerful way to manipulate data and logic, control the flow of the process, and interact with other systems and applications. Scripting languages can also help you automate dynamic processes by enabling you to create and run scripts on demand, and by allowing you to modify and customize your scripts as needed.

These are some of the advanced tools that you can use to automate complex or dynamic processes. By using these tools, you can enhance your process automation skills and competencies, and achieve greater efficiency, accuracy, and agility in your business operations.

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Jim Giantomenico

IT Executive Leadership | Customer Centric | Unified Commerce |Strategic Solutions & Delivery | Private Equity | Strategy & Advisory
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As outlined above with APIs, Python became the scripting language of choice for addressing what needed to be built for the events / tasks / required business decision logic within the platform at scale.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Jim Giantomenico

IT Executive Leadership | Customer Centric | Unified Commerce |Strategic Solutions & Delivery | Private Equity | Strategy & Advisory
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Based on my experience and observations, we are now starting to see the emergence of an "Enterprise Automation Platform". It will be a low code / no code environment that can orchestrate process automation with these other tools / methods in constructing a automation ecosystem with the EAP at it's core. AI/ML will be a key driver in developing these automations to be autonomous. The potential for EAPs is growing and will be huge part of an organization's digital transformation.

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What advanced tools can you use to automate complex or dynamic processes?

1

2

3

4

5

6

1 Workflow Automation

2 Robotic Process Automation

3 Business Process Management

4 Application Programming Interfaces

5 Scripting Languages

6 Here’s what else to consider

Process Automation

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What advanced tools can you use to automate complex or dynamic processes?

1

2

3

4

5

6

1 Workflow Automation

2 Robotic Process Automation

3 Business Process Management

4 Application Programming Interfaces

5 Scripting Languages

6 Here’s what else to consider

Process Automation

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