Skip to main content
Process Automation in Process Excellence Implementation

Process Automation in Process Excellence Implementation

$250.00
How you learn:
Self-paced • Lifetime updates
When you get access:
Course access is prepared after purchase and delivered via email
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.
Who trusts this:
Trusted by professionals in 160+ countries
Your guarantee:
30-day money-back guarantee — no questions asked
Adding to cart… The item has been added

What does the Process Automation in Process Excellence Implementation course cover?

Process Automation in Process Excellence Implementation is covered here in 8 modules: Strategic Alignment and Process Selection, Automation Technology Evaluation and Stack Design, Process Reengineering for Automation Readiness and 5 more. The outline lists 48 specific topics, opening with conducting a value stream assessment to identify high-impact processes suitable for automation based on volume, error rate, and manual effort.

How do you approach Process Automation in Process Excellence Implementation step by step?

The work is sequenced in 8 stages. It starts with Strategic Alignment and Process Selection, moves through Automation Technology Evaluation and Stack Design and Process Reengineering for Automation Readiness, and ends at Continuous Improvement and Scaling. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Process Automation in Process Excellence Implementation course?

Module 1 is Strategic Alignment and Process Selection. It works through conducting a value stream assessment to identify high-impact processes suitable for automation based on volume, error rate, and manual effort., aligning automation initiatives with enterprise objectives by mapping candidate processes to strategic KPIs such as cost per transaction or cycle time reduction., establishing a scoring model to prioritize processes using criteria.

How is the Process Automation in Process Excellence Implementation course delivered?

The Process Automation in Process Excellence Implementation 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 in Process Excellence Implementation course cost?

The Process Automation in Process Excellence Implementation course is $250 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: Process Automation in Procurement Process, Process Automation in Business Process Integration, Process Automation in Business Process Redesign, Process Automation Toolkit.

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

This curriculum spans the full lifecycle of process automation deployment, comparable in scope to a multi-phase organisational transformation program that integrates strategic assessment, technology governance, operational integration, and continuous improvement across business functions.

Module 1: Strategic Alignment and Process Selection

  • Conducting a value stream assessment to identify high-impact processes suitable for automation based on volume, error rate, and manual effort.
  • Aligning automation initiatives with enterprise objectives by mapping candidate processes to strategic KPIs such as cost per transaction or cycle time reduction.
  • Establishing a scoring model to prioritize processes using criteria like standardization level, system dependency, and change readiness.
  • Engaging process owners early to validate pain points and secure operational buy-in before initiating automation scoping.
  • Assessing regulatory constraints that may limit automation in audit-sensitive processes such as financial reporting or compliance reviews.
  • Defining success metrics for automation at the process level, including throughput, accuracy, and exception handling rates.

Module 2: Automation Technology Evaluation and Stack Design

  • Comparing RPA, low-code platforms, and API-based integration tools based on system compatibility and long-term maintenance requirements.
  • Selecting automation tools that support enterprise-grade logging, monitoring, and credential management for secure operations.
  • Designing a technology stack that accommodates both attended and unattended automation use cases across departments.
  • Evaluating vendor lock-in risks when adopting proprietary automation platforms with limited extensibility.
  • Integrating automation tools with existing IAM systems to enforce role-based access and audit trails.
  • Assessing scalability of automation solutions under peak transaction loads, particularly in month-end or seasonal operations.

Module 3: Process Reengineering for Automation Readiness

  • Redesigning fragmented subprocesses to eliminate redundant handoffs before automation to reduce bot complexity.
  • Standardizing data entry formats across systems to minimize parsing errors in automated workflows.
  • Identifying and removing legacy workarounds that introduce variability and hinder rule-based automation.
  • Documenting exception paths and escalation protocols to ensure automated systems can handle edge cases.
  • Validating system response times and availability SLAs to ensure reliable bot execution in time-sensitive processes.
  • Conducting pre-automation testing of process logic using flow simulations to detect design flaws.

Module 4: Governance, Risk, and Compliance Integration

  • Establishing a Center of Excellence (CoE) with defined roles for bot development, testing, and production deployment.
  • Implementing version control and change management for automation scripts to support auditability and rollback.
  • Defining data handling rules for bots processing PII or regulated information, including encryption and retention policies.
  • Conducting regular access reviews to ensure only authorized personnel can modify or execute critical automation workflows.
  • Integrating bot activity logs with SIEM systems for real-time anomaly detection and incident response.
  • Performing impact assessments before modifying upstream systems that may break existing automation logic.

Module 5: Development, Testing, and Deployment

  • Building modular automation components to enable reuse across similar processes and reduce development effort.
  • Executing end-to-end test cases using production-like data to validate bot accuracy and exception handling.
  • Implementing retry logic and timeout thresholds to manage transient system failures during execution.
  • Coordinating deployment windows with IT operations to avoid conflicts with system maintenance or batch jobs.
  • Configuring environment-specific settings (e.g., URLs, credentials) to enable seamless migration from test to production.
  • Validating bot performance under concurrency to prevent resource contention in shared systems.

Module 6: Operational Monitoring and Maintenance

  • Setting up dashboards to track bot uptime, success rate, and processing volume in real time.
  • Defining alert thresholds for failed executions and routing notifications to designated support teams.
  • Establishing a runbook for common bot failures, including steps for diagnosis and manual intervention.
  • Scheduling regular bot health checks to identify performance degradation or logic drift.
  • Managing bot credentials through privileged access management tools to prevent hardcoded passwords.
  • Documenting dependency maps to assess impact when underlying applications undergo upgrades.

Module 7: Change Management and Workforce Transition

  • Identifying roles affected by automation and redesigning job functions to focus on higher-value tasks.
  • Delivering role-specific training to help employees operate, monitor, or manage automated workflows.
  • Communicating automation timelines and impacts transparently to reduce resistance and misinformation.
  • Establishing feedback loops with end users to report bot issues and suggest process improvements.
  • Measuring employee adoption rates and addressing gaps through targeted support or coaching.
  • Tracking workforce productivity metrics post-automation to validate efficiency gains and inform future initiatives.

Module 8: Continuous Improvement and Scaling

  • Conducting post-implementation reviews to assess whether automation met original performance targets.
  • Using process mining tools to identify new automation opportunities based on actual system usage patterns.
  • Refactoring existing bots to improve efficiency or adapt to changes in business rules or systems.
  • Expanding automation coverage by replicating successful use cases across business units or geographies.
  • Integrating automation performance data into enterprise process excellence scorecards.
  • Evaluating ROI of automation initiatives by comparing actual savings against baseline operational costs.
!