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Process Automation Tools in Business Process Redesign

Process Automation Tools in Business Process Redesign

$247.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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Course access is prepared after purchase and delivered via email
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What does the Process Automation Tools in Business Process Redesign course cover?

Process Automation Tools in Business Process Redesign is covered here in 8 modules: Strategic Alignment of Automation Initiatives with Business Goals, Process Discovery and Prioritization Techniques, Tool Selection and Platform Evaluation and 5 more. The outline lists 48 specific topics, opening with conducting a gap analysis between current process performance and strategic KPIs to identify high-impact automation opportunities and closing with iterating.

How do you approach Process Automation Tools in Business Process Redesign step by step?

The work is sequenced in 8 stages. It starts with Strategic Alignment of Automation Initiatives with Business Goals, moves through Process Discovery and Prioritization Techniques and Tool Selection and Platform Evaluation, and ends at Monitoring, Optimization, and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Process Automation Tools in Business Process Redesign course?

Module 1 is Strategic Alignment of Automation Initiatives with Business Goals. It works through conducting a gap analysis between current process performance and strategic KPIs to identify high-impact automation opportunities, selecting processes for automation based on ROI potential, process stability, and alignment with digital transformation roadmaps, negotiating stakeholder priorities when automation objectives conflict across departments (e.g., cost reduction vs.

How is the Process Automation Tools in Business Process Redesign course delivered?

The Process Automation Tools in Business Process Redesign course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Process Automation Tools in Business Process Redesign course cost?

The Process Automation Tools in Business Process Redesign course is $247 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Automated Planning in Business Process Redesign, Automated Decision in Business Process Redesign, Process Automation in Business Process Redesign, Task Automation in Business Process Redesign.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the equivalent of a multi-workshop organizational automation program, covering the technical, governance, and human dimensions of deploying process automation tools across complex business environments.

Module 1: Strategic Alignment of Automation Initiatives with Business Goals

  • Conducting a gap analysis between current process performance and strategic KPIs to identify high-impact automation opportunities
  • Selecting processes for automation based on ROI potential, process stability, and alignment with digital transformation roadmaps
  • Negotiating stakeholder priorities when automation objectives conflict across departments (e.g., cost reduction vs. customer experience)
  • Establishing a cross-functional steering committee to approve automation project portfolios and funding allocations
  • Integrating automation planning into enterprise architecture frameworks to ensure long-term scalability
  • Defining success metrics for automation initiatives that balance efficiency gains with risk exposure and employee impact

Module 2: Process Discovery and Prioritization Techniques

  • Executing process mining on ERP and CRM system logs to uncover actual workflow paths versus documented procedures
  • Using time-in-motion studies and user interviews to quantify manual effort and identify automation candidates
  • Applying the PACE prioritization model (Process stability, Automation potential, Customer impact, Effort) to rank opportunities
  • Documenting as-is processes with BPMN 2.0 notation, including exception handling and handoff points
  • Identifying shadow IT workflows that bypass formal systems but are critical to operations
  • Validating process boundaries with legal and compliance teams to avoid automating non-compliant activities

Module 3: Tool Selection and Platform Evaluation

  • Comparing low-code RPA platforms (e.g., UiPath, Automation Anywhere) against integration-focused tools (e.g., Microsoft Power Automate, Workato) based on orchestration needs
  • Evaluating vendor lock-in risks when adopting proprietary automation ecosystems with limited API extensibility
  • Assessing on-premises versus cloud deployment models for sensitive processes involving PII or regulated data
  • Conducting proof-of-concept pilots with real transaction volumes to test tool reliability under load
  • Mapping required capabilities (OCR, AI decisioning, exception routing) to vendor feature matrices
  • Reviewing vendor SLAs for runtime availability, support response times, and update frequency

Module 4: Designing Resilient and Maintainable Automation Workflows

  • Implementing modular workflow design with reusable components for exception handling and data validation
  • Embedding logging and audit trails at each decision point to support forensic analysis of automation failures
  • Designing fallback procedures for bot failures, including human-in-the-loop escalation paths
  • Using configuration files instead of hard-coded values to enable environment portability (dev, test, prod)
  • Applying version control to automation scripts using Git and enforcing change management protocols
  • Designing UI automation with dynamic selectors to reduce breakage from front-end updates

Module 5: Integration with Legacy and Modern Systems

  • Developing secure API wrappers for mainframe applications that lack native integration capabilities
  • Configuring OAuth2 and certificate-based authentication for automated access to cloud services
  • Handling data format mismatches (e.g., XML to JSON) during integration between ERP and automation platforms
  • Implementing message queues (e.g., RabbitMQ, Azure Service Bus) to decouple automation processes from source systems
  • Managing rate limiting and throttling policies when automating interactions with third-party SaaS platforms
  • Testing integration resilience under network latency or temporary system outages

Module 6: Governance, Security, and Compliance

  • Defining role-based access controls for bot credentials and ensuring segregation of duties in automation workflows
  • Conducting annual access reviews for privileged automation accounts with IT security teams
  • Encrypting sensitive data in transit and at rest within automation runtime environments
  • Implementing change approval workflows for production bot deployments using ITIL-compliant processes
  • Documenting data lineage and processing logic to meet GDPR, SOX, or HIPAA audit requirements
  • Establishing monitoring rules to detect anomalous bot behavior indicative of compromise or misconfiguration

Module 7: Change Management and Workforce Transition

  • Redesigning job roles to shift employees from manual execution to bot supervision and exception resolution
  • Developing training programs for business users to maintain low-code automations within center-of-excellence guardrails
  • Communicating automation impacts transparently to avoid workforce anxiety and union grievances
  • Measuring and reporting productivity gains without implying headcount reduction as the primary objective
  • Creating feedback loops for process owners to report automation issues or suggest improvements
  • Incorporating user acceptance testing (UAT) with frontline staff to validate automation accuracy and usability

Module 8: Monitoring, Optimization, and Continuous Improvement

  • Configuring real-time dashboards to track bot performance, exception rates, and processing volumes
  • Establishing thresholds for automated alerts when process cycle times exceed expected durations
  • Conducting quarterly process reviews to identify new automation candidates from partially automated workflows
  • Using robotic process analytics to detect underutilized or redundant bots for decommissioning
  • Applying machine learning models to predict and prevent bot failures based on historical runtime data
  • Iterating on automation logic based on business rule changes, regulatory updates, or system upgrades
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