
Continuous Process Automation
Efficiency. Efficiency. Efficiency.
Process automation refers to the use of technology to automate repetitive and manual tasks, activities, or processes within an organization. It involves the implementation of software tools, systems, and workflows to streamline and optimize business processes, reduce human intervention, improve efficiency, and enhance overall productivity.
Process automation typically involves the following elements:
1. Workflow Design: The first step in process automation is analyzing and designing the workflow or sequence of tasks within a process. This involves mapping out the steps, dependencies, and decision points involved in the process and identifying areas where automation can be applied.
2. Automation Tools and Technologies: Once the workflow is defined, organizations select and implement appropriate automation tools and technologies to execute and manage the automated processes. These tools can range from simple task schedulers and scripts to more advanced solutions like Robotic Process Automation (RPA), Business Process Management (BPM) systems, or Artificial Intelligence (AI) platforms.
3. Integration and Data Exchange: Process automation often requires integration with other systems and data sources. This involves connecting different applications, databases, and systems to enable seamless data exchange and synchronization. Integration ensures that information flows smoothly across the automated processes and eliminates the need for manual data entry or reconciliation.
4. Rule-Based Decision-Making: In many automated processes, predefined rules and conditions are applied to guide decision-making. These rules determine how the automation system handles exceptions, triggers notifications, or routes tasks based on specific criteria. Rule-based decision-making helps ensure consistency and accuracy in executing processes.
5. Exception Handling: Automated processes should be capable of handling exceptions or scenarios that fall outside the predefined rules. Exception handling mechanisms are implemented to address situations that require human intervention, such as error resolution, complex decision-making, or handling unpredictable events.
6. Monitoring and Reporting: Process automation includes monitoring the performance and outcomes of automated processes. Real-time monitoring enables organizations to track the progress, identify bottlenecks, and proactively resolve issues. Additionally, reporting capabilities provide insights into process efficiency, resource utilization, and compliance with performance metrics.
Benefits of process automation include:
1. Improved Efficiency: Automation eliminates manual tasks, reduces errors, and accelerates process execution, leading to improved efficiency and productivity. It allows employees to focus on more value-added activities.
2. Cost Savings: Automation reduces labor costs by minimizing the need for manual intervention and repetitive tasks. It also enhances resource utilization and eliminates inefficiencies, leading to cost savings over time.
3. Enhanced Accuracy and Consistency: Automated processes reduce the likelihood of human errors, ensuring accuracy and consistency in executing tasks. This is particularly valuable in data entry, calculations, and repetitive activities.
4. Faster Process Execution: Automation enables faster processing and completion of tasks, reducing turnaround time and improving response times to customers or stakeholders.
5. Scalability and Agility: Automated processes can scale easily to handle increased volumes without significant additional resources. They also provide organizations with the agility to adapt and modify processes quickly in response to changing business requirements.
It is important to note that process automation requires careful planning, analysis, and consideration of the specific needs and objectives of each organization. Successful implementation involves selecting appropriate automation tools, designing effective workflows, and ensuring proper governance and change management practices to drive adoption and realize the full benefits of automation.
Recent Process Automation

Data ETL pipeline was created in Azure Data Factory. The pipeline runs on timed trigger. A data flow ingests and transforms data. Once the data has been transformed, the output of that data is used in an additional data transformation. This allows Certus to automate its financial reporting including receivables and deposit reconciliation.
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Error Handling included a wait time to allow for parallel data processing loads to decrease before retrying the ETL process. An email and SMS automation is triggered to alert the key stakeholders in the event of a second failure.