This curriculum spans the equivalent of a multi-workshop organizational transformation program, addressing the technical, governance, and behavioral challenges of redesigning mission-critical processes in regulated, cross-functional environments.
Module 1: Strategic Alignment and Scope Definition
- Decide whether to initiate redesign from customer journey gaps or internal performance bottlenecks, weighing speed against strategic impact.
- Establish governance boundaries for cross-functional process ownership when business units resist centralized control.
- Select which end-to-end processes to prioritize based on financial exposure, compliance risk, and customer satisfaction metrics.
- Negotiate scope inclusion/exclusion with stakeholders when legacy integration dependencies conflict with agility goals.
- Define success criteria that balance quantitative KPIs (e.g., cycle time) with qualitative outcomes (e.g., employee adoption).
- Document as-is process variability across regions or divisions before standardization, preserving necessary local adaptations.
Module 2: Stakeholder Engagement and Change Governance
- Design escalation paths for resolving conflicts between process owners and functional managers during redesign workshops.
- Implement a rotating change agent network to maintain momentum without overburdening frontline staff.
- Choose between top-down mandate and co-creation models based on organizational readiness and union constraints.
- Integrate legal and compliance representatives early when redesigning processes involving personal data or regulated transactions.
- Manage shadow IT usage by assessing workarounds as inputs rather than violations during process discovery.
- Establish decision rights for approving process variants when local regulations require operational deviations.
Module 3: Process Discovery and Performance Baseline
- Deploy process mining tools selectively based on system log availability, avoiding initiatives where ERP data is fragmented.
- Validate automated discovery outputs with manual walkthroughs to correct for system exceptions not captured in logs.
- Quantify rework loops and handoff delays using timestamp analysis, distinguishing between technical and behavioral root causes.
- Map informal communication channels (e.g., WhatsApp, email) that supplement formal workflows but create audit risks.
- Decide whether to baseline performance using historical data or controlled observation when data quality is suspect.
- Classify process deviations as defects or legitimate adaptations based on frequency, risk, and business outcome impact.
Module 4: Agile Process Redesign Techniques
- Apply sprint-based prototyping to high-variability processes, using minimum viable process (MVP) iterations instead of full redesign.
- Balance standardization with configurability when designing templates for global processes with regional variations.
- Introduce parallel workflow testing by running legacy and redesigned processes concurrently for critical operations.
- Use role-based simulation to identify handoff breakdowns before deploying redesigned approval chains.
- Embed control points in redesigned workflows to maintain auditability without introducing bureaucratic delays.
- Decouple automation candidates from manual steps during redesign to enable phased technology rollout.
Module 5: Technology Integration and Automation Readiness
- Assess API maturity of core systems before initiating robotic process automation to avoid brittle bot deployments.
- Define data ownership rules for shared process data when integrating cloud-based workflow tools with on-premise ERP.
- Delay low-code platform adoption if existing IT governance lacks version control and deployment audit standards.
- Structure exception handling protocols for automated processes to prevent operational paralysis during system failures.
- Classify processes for automation based on rule stability, not just volume, to avoid costly maintenance cycles.
- Integrate human-in-the-loop checkpoints for high-risk decisions even in otherwise automated workflows.
Module 6: Performance Measurement and Feedback Loops
- Select leading indicators (e.g., first-pass yield) over lagging metrics (e.g., monthly cost) to enable real-time course correction.
- Implement balanced scorecards that link process performance to business outcomes, not just efficiency gains.
- Design feedback mechanisms from frontline staff that capture usability issues without creating reporting overhead.
- Adjust target metrics quarterly to prevent gaming behaviors when incentives misalign with process intent.
- Use control charts to distinguish normal process variation from systemic issues requiring intervention.
- Expose process performance data in operational dashboards while enforcing role-based access to sensitive metrics.
Module 7: Scaling and Sustaining Business Agility
- Establish a process governance council with rotating membership to prevent siloed decision-making over time.
- Define criteria for when to sunset a redesigned process due to strategic obsolescence or technology shifts.
- Embed process improvement triggers into business planning cycles to maintain agility beyond initial projects.
- Standardize process documentation formats across the enterprise to enable reuse and benchmarking.
- Manage technical debt in workflow automation by scheduling refactoring sprints alongside new feature development.
- Rotate process ownership periodically to prevent knowledge concentration and encourage continuous improvement.
Module 8: Risk Management and Compliance Integration
- Conduct control impact assessments before eliminating manual checks in automated approval workflows.
- Document process changes in audit trails to demonstrate compliance during regulatory inspections.
- Implement segregation of duties in digital workflows by configuring role-based access, not just training.
- Predefine breach response protocols for when automated processes generate non-compliant outputs.
- Validate third-party vendor processes as part of end-to-end redesign when outsourcing key activities.
- Archive legacy process configurations to support forensic analysis in case of operational incidents.