This curriculum spans the full lifecycle of business process redesign, equivalent in scope to a multi-phase organisational transformation program, covering strategic prioritisation, detailed process analysis, technology integration, and governance, with depth comparable to an internal capability-building initiative for enterprise process excellence.
Module 1: Strategic Alignment and Process Prioritization
- Selecting which core business processes to redesign based on customer impact, cost leakage, and alignment with current fiscal objectives.
- Conducting stakeholder interviews with department heads to reconcile conflicting priorities between operational efficiency and service continuity.
- Using process mining data to quantify cycle times and identify outliers that justify immediate intervention.
- Deciding whether to pursue incremental improvements or full process reengineering given risk tolerance and change capacity.
- Establishing criteria for process selection that balance quick wins with long-term scalability.
- Mapping regulatory constraints into the prioritization model to avoid redesigning non-compliant processes without remediation.
Module 2: Process Discovery and As-Is Analysis
- Choosing between manual workflow observation and automated log extraction based on system integration capabilities and data availability.
- Resolving discrepancies between documented procedures and actual employee behavior during process walkthroughs.
- Documenting handoffs across departments where ownership ambiguity leads to task delays or duplication.
- Identifying shadow IT tools used by teams to compensate for system limitations, and assessing their integration potential.
- Classifying process variants across regional units and determining whether to standardize or allow localization.
- Using time-motion studies to validate self-reported task durations from subject matter experts.
Module 3: Designing To-Be Processes
- Redesigning approval hierarchies to reduce bottlenecks while maintaining financial controls and segregation of duties.
- Introducing parallel workflows for independent tasks, with clear rules for synchronization and exception handling.
- Specifying data requirements at each process step to ensure downstream systems receive complete, validated inputs.
- Designing escalation paths for stalled tasks, including time-based triggers and role-based fallbacks.
- Eliminating non-value-added steps such as redundant validations or manual data re-entry across systems.
- Integrating customer feedback loops into process design to maintain service quality during automation.
Module 4: Technology Enablement and System Integration
- Selecting between low-code platforms and custom development based on maintenance capacity and process complexity.
- Configuring API gateways to synchronize data between legacy ERP systems and new workflow automation tools.
- Implementing robotic process automation (RPA) for rule-based tasks while defining exception handling protocols.
- Designing user authentication and role-based access controls for cross-functional process participation.
- Migrating historical process data to new systems while preserving audit trails and compliance records.
- Testing integration points under peak load conditions to prevent performance degradation in production.
Module 5: Change Management and Organizational Adoption
- Developing role-specific training materials that reflect actual system interfaces and workflow changes.
- Identifying informal team leaders to serve as change champions and address peer resistance.
- Phasing rollout by business unit to manage support load and incorporate early feedback.
- Revising performance metrics and incentives to align with new process behaviors and outcomes.
- Addressing union or HR policies when redesign reduces headcount requirements in specific roles.
- Establishing a feedback channel for users to report usability issues during the first 90 days post-launch.
Module 6: Performance Measurement and KPI Frameworks
- Selecting lead and lag indicators that reflect both process speed and output quality.
- Setting baseline performance thresholds using pre-implementation data to measure improvement.
- Configuring dashboards to display real-time process metrics without overwhelming operational staff.
- Adjusting KPIs when external factors such as market shifts or regulatory changes affect process performance.
- Conducting root cause analysis when KPIs deviate from targets, distinguishing systemic issues from isolated incidents.
- Linking process performance data to financial outcomes for executive reporting and ROI validation.
Module 7: Governance, Compliance, and Continuous Improvement
- Establishing a process governance board with representatives from legal, IT, and operations to review changes.
- Documenting process controls to satisfy internal audit and external regulatory requirements.
- Scheduling periodic process reviews to identify new optimization opportunities or obsolescence.
- Managing version control for process documentation to prevent confusion during updates.
- Implementing a change request system to evaluate proposed modifications from frontline staff.
- Updating business continuity plans to reflect redesigned workflows and new system dependencies.