A Guide to Digital Process Automation Platforms
Businesses are constantly looking for ways to streamline their workflows and processes. One way to do this is to let machines handle certain tasks. That’s why, as technology evolves, more and more processes are being automated.
As such, digital process automation platforms are gaining popularity.
What Is a Digital Process Automation Platform?
A digital process automation (DPA) platform (sometimes referred to more broadly as a digital automation platform) is a low-code environment that allows you to design and automate workflows across systems, users, and data.
Using drag-and-drop (or point-and-click) tools, teams can create digital workflows, applications, and integrations that streamline processes by reducing manual steps and connecting activities end-to-end.
Automation also means you can scale up more easily. You don’t need people to complete these tasks, so more volume doesn’t mean hiring more employees.
And, because these platforms use low-code, you can adapt to changing processes more quickly, with fewer manual or technical bottlenecks.
How Digital Process Automation Platforms Automate Business Processes
DPA platforms orchestrate workflows so that information required for tasks is retrieved from the right place. Then, the information is used to trigger the next process without requiring someone to manage it at every step. In short, it connects systems and data to make work easier and faster for your people.
The process begins with an input, which could be data coming in from another system or an external factor, such as a form or request. Once the platform receives this, it initiates the predefined process using the rules and logic set by the business.
Based on those, it directs the task to the appropriate system or person. Each step is tracked, so you have complete visibility and accountability.
The workflow progresses from one task to another, implementing the rules you set, while triggering notifications and updating records in real time.
For example, if you get an invoice or contract, a DPA platform uses the relevant key points to send them through an approval workflow. The task doesn’t need to wait for manual data entry or human intervention.
The result is a more consistent and efficient way of working. DPA platforms reduce manual intervention and standardize how tasks are handled to minimize errors, eliminate delays, and handle increasing volumes of work as the business grows.
Digital Process Automation vs Intelligent Automation (IA): What’s the Difference?
Both DPA and IA have “automation” in their names, but they differ in how they apply it. As we’ve seen, digital process automation software focuses on processes and workflows. It’s a low-code platform that relies on predefined business rules and logic to automate repetitive tasks and move them from one step to the next.
What it can’t do is handle ambiguity or interpretation. That’s where you need intelligence, which is where IA comes in.
Intelligent automation uses artificial intelligence (AI) to automate complex tasks and improve decision-making within business workflows. It goes beyond rule-based automation by classifying and interpreting the data it receives, in some cases even learning from it. It can also handle unstructured and complex inputs, which regular DPA software can’t handle on its own.
Despite the differences, they aren’t mutually exclusive. You often use the two together, with DPA running the process and IA refining certain steps. DPA manages the flow of the work, and AI process automation improves the decision-making capabilities.
DPA vs Business Process Automation (BPA)
Business process automation is sometimes grouped with intelligent automation. In reality, BPA is more closely related to DPA than to IA.
Also known as digital business process automation, BPA is a broad concept focused on automating workflows across the business.
DPA, as we know, extends this by implementing these automations in practice using a modern, platform-based approach.
Both are used to automate your processes, but differ in scope. BPA describes the overall approach, while DPA is a more advanced way to implement and manage that automation at scale.
Key Benefits of Digital
Process Automation Platforms
Automation is thought of as a business differentiator, with 44.6% of business leaders surveyed saying it will increase profit margins. Here are some of the key ways DPA software will benefit your business:
Efficiency and Productivity
Nearly every job has some repetitive tasks that are rule-based and don’t require any specialized skills. With automation handling these, employees are freed up to focus on higher-level work. This allows them to get more done in less time.
Reduction of Errors
People can often lose focus, especially when handling ‘boring’ tasks. As such, they are more likely to make mistakes. Rule-based automation, on the other hand, will always follow a set pattern, with the same attention to detail every time. As a result, errors are greatly reduced.
Scalability
When you rely only on your human workers, there is a limit to how much they can take on. When your team is at full capacity, you must hire additional team members. With a digital process automation solution, the threshold for needing more resources is much higher.
Cost Saving
As mentioned in the previous point, automating tasks allows you to accomplish more with fewer people. As a result, scaling up your business does not require scaling up your team at the same rate. Additionally, your team now spends less time fixing errors. As a result, you don’t have to spend as much money growing your teams or troubleshooting.
Better Customer Experience
With greater efficiency and speed, you can deliver results to your customers faster without compromising accuracy. At the same time, you can transfer the benefits of your cost savings to them. In short, DPA software helps you deliver noticeably better service to your customers.
Accelerated Business Growth
At this point, your team has more time to focus on strategy and innovation, since low-level tasks are being automated. Meanwhile, these tasks are being completed quickly and with fewer mistakes. Scaling up doesn’t require pausing to get more hands on deck, and customers are getting the best service possible. In short, your business can grow without interruption and with no decline in service quality.
Challenges and Risks of Implementing
Digital Automation Software
While digital automation tools simplify and accelerate workflows, you must be aware of the pitfalls of implementing them without careful planning. Here are some of the common challenges organizations face when incorporating these solutions:
Data Security and Privacy
According to this 2024 IDC report, digital safety will become an issue as generative AI becomes more prevalent in business use. In fact, according to the report, most internal IT teams will not be equipped to handle them.
Any system you implement in your organization is going to be powered by data. It could be invoices, contracts, sales reporting, or balance sheets. If you’re processing any sensitive data in your automation pipeline, it must be handled in accordance with regulatory requirements and frameworks. As such, the DPA platform needs adequate security features built into it.
Lack of Resources
According to Forbes, 35% of entrepreneurs are concerned that their businesses lack the technical skills needed to implement AI effectively. Even though digital process automation platforms are low-code or even no-code, organizations still need people who know how to design effective workflows and manage integrations.
As a result, even an accessible tool can be limited by your internal capacity.
However, choosing a solution solely on how easy it is to use is also not ideal. It won’t deliver value unless combined with effective planning and governance.
Integration With Legacy Systems
Most organizations have pre-existing technology, which would need to be integrated with any DPA platform they adopt. However, some older systems may not be designed to connect to modern automation tools.
Integrating such tools is likely to be complex, requiring additional processes like data transformation. You might need to adapt workflows and develop custom connectors. The result? Slower implementation and an overworked IT team.
Most DPA platforms do come with built-in integration capabilities. However, you still need to assess whether the tool aligns with your technology stack.
It might even be beneficial to implement it in phases. Start with simpler integrations and then move on to more complex ones to reduce risk.
Process Design
Even the most sophisticated automation tool cannot help if the process it is implementing is poorly thought out. To achieve the most effective results, you must ensure your process design is efficient.
Bottlenecks must be identified and unnecessary steps removed. Workflows should be clearly defined before you introduce automation.
Change Management
If not introduced properly, any new tool you put forward might face resistance.
Your workforce might see new technology as a threat to their jobs. They might not like the new tool changing how they work, or they may be reluctant to use one they don’t know.
Since they will use the DPA platform, it’s important to present it to them properly. Clear communication on why it’s necessary and how it will help with their work will be helpful. Structured training helps them feel confident using the tool. It shows them how it can make their work easier and faster.
Using the right approach will assure buy-in from stakeholders and ensure long-term success after adoption.
DPA Software Implementation Best Practices
While there are risks and challenges, you can mitigate them by following certain steps when implementing DPA platforms:
Optimize Processes
Review your workflows before you start automating them. If the process is not optimized, all the DPA platform will do is scale inefficiencies. Look at how tasks move through your organization and identify blockers and excessive processes. Streamline each process and clearly define the rules before introducing a tool to automate it.
Involve Your IT Team
Chances are, your IT department will be the most heavily involved in implementing the DPA solution. Making them part of the process by forming a cross-departmental team will help them (and you) get better results. You may even want to start by automating your IT processes.
Implement Gradually
Instead of rolling out automation for the entire organization at once, focus on important areas first. Use the DPA platform for a core service, where you will see the most value. Once it’s been successfully implemented, gradually expand the scope.
With a phased roll-out, you can manage change more effectively and refine the process in one area before moving on to others.
Plan Integrations
You already know your technology stack, so plan your automation strategy accordingly. Certain DPA platforms might not be compatible with your existing tools.
Do you plan to keep them and find a compatible platform? Will you replace them with more contemporary solutions? How will you integrate them with the platform? Ask these questions early, so you can plan accordingly for a successful implementation.
Establish Governance and Oversight
As automation expands, you need to maintain control over how processes are managed. This means designing internal policies aligned with regulations and assigning people to ensure compliance.
Data governance must be part of this process. Identify the sensitive data used by your business and how it flows through the automation systems. You must also determine who needs access to that data and how it is controlled.
Monitoring is equally important. By tracking how automated processes perform and how they are used, you can identify issues early and ensure your automation initiatives are delivering the expected results.
Invest in Training and Change Management
Introducing automation can significantly change how teams work. You need to communicate clearly why automation is being introduced and how it will affect day-to-day tasks.
Employees also need proper training to feel confident using new tools. Without it, even well-designed systems can go unused or be used incorrectly.
Ongoing support is just as important. When employees have access to help when they need it, they are far more likely to adopt and effectively use the technology.
Think Beyond Initial Implementation
Automation is not a one-time project. As business needs change, the processes you automate will also need to evolve.
Regularly review how your workflows are performing to identify areas for improvement or where processes no longer align with goals.
By refining workflows over time, you can ensure your automation efforts don’t become outdated or inefficient.
Work with an Experienced Implementation Partner
Implementing digital process automation at scale often requires more than just selecting the right platform. As mentioned earlier, you need to design effective workflows, integrate multiple systems, and manage automation over time.
An experienced implementation partner can help guide this process. They bring technical expertise and practical experience, which helps reduce risk and avoid common pitfalls during implementation.
Working with a partner also allows your internal teams to focus on their core responsibilities, while the automation initiative moves forward efficiently.
Zia Consulting’s Digital Process Automation Tools
In many organizations, content sits at the center of key business processes. Invoices, contracts, customer submissions, or internal records often determine how work moves from one step to the next. As a result, automating how content flows through processes is a critical part of any digital process automation strategy.
This is where Zia Consulting comes in.
We specialize in helping organizations implement digital process automation with a strong focus on content and document-driven workflows. By combining technical expertise with practical experience, we support workflow design, system integration, and content management as it moves through automated processes.
To deliver these solutions, we work with the following tool:
Tungsten Automation
Tungsten Automation (which includes Ephesoft technology) supports document capture and intelligent processing. It helps you extract and structure data from unstructured inputs, ensuring information moves through automated workflows without manual intervention.
In addition, we also offer expertise Hyland Alfresco for enterprise content management.
Together, these technologies allow us to automate not just workflows, but the content and data that drive them. Using them, we can help you implement intelligent document automation (IDA), intelligent document processing (IDP), and intelligent document capture (IDC).
If you want to implement digital process automation software within your business and aren’t quite sure how to do it, get in touch with Zia Consulting today to get help with your strategy.