Description

This curriculum spans the full lifecycle of business process redesign, reflecting the iterative, cross-functional problem-solving seen in multi-workshop transformation programs and ongoing internal capability building, from initial stakeholder negotiation to sustained governance and scaling.

Module 1: Defining Scope and Stakeholder Alignment

Selecting which processes to redesign based on strategic impact versus operational feasibility, balancing executive priorities with frontline constraints.
Negotiating scope boundaries with department heads who seek to protect functional autonomy while requiring cross-functional integration.
Identifying key decision-makers in matrixed organizations where process ownership is ambiguous or distributed.
Documenting conflicting stakeholder requirements, such as speed-to-market versus regulatory compliance, and prioritizing them in design sessions.
Establishing escalation paths for unresolved scope disputes between business units during discovery workshops.
Managing scope creep triggered by mid-project technology announcements or leadership changes.

Module 2: Process Discovery and As-Is Analysis

Choosing between direct observation, system log analysis, and employee interviews to map actual versus documented workflows.
Handling discrepancies between official SOPs and informal workarounds used by high-performing teams.
Deciding whether to include exception handling paths in as-is models when they occur infrequently but carry high risk.
Integrating data from legacy systems with incomplete audit trails into process maps using proxy indicators.
Resolving version conflicts when multiple departments claim ownership of the same process variant.
Assessing the reliability of self-reported cycle times from employees concerned about performance implications.

Module 3: Designing To-Be Processes

Selecting automation candidates based on volume, error rate, and integration complexity rather than perceived modernity.
Structuring handoffs between automated systems and human actors to minimize latency and rework loops.
Designing exception escalation protocols that avoid overloading subject matter experts during peak loads.
Choosing between centralized governance and decentralized execution models for multi-location processes.
Embedding control points for auditability without introducing excessive approval layers that impede throughput.
Defining data ownership and access rights in redesigned workflows that cross departmental data silos.

Module 4: Technology Selection and Integration

Evaluating whether to extend existing BPM platforms or adopt new tools based on total cost of ownership over five years.
Mapping API compatibility between target-state processes and core ERP systems with limited customization options.
Designing fallback procedures for robotic process automation (RPA) bots when underlying applications change unexpectedly.
Deciding between real-time integration and batch synchronization based on data consistency requirements and system load.
Negotiating middleware licensing costs when integrating legacy mainframe systems with cloud-based workflow engines.
Validating data transformation logic during ETL processes to prevent downstream reconciliation failures in financial reporting.

Module 5: Change Management and Organizational Readiness

Identifying informal influencers in workgroups to co-develop communication plans that reduce resistance to role changes.
Sequencing process rollouts to avoid overwhelming shared service teams supporting multiple redesign initiatives.
Adjusting performance metrics and incentive structures to align with new process behaviors before go-live.
Managing union or labor agreements that restrict automation of certain tasks or require retraining provisions.
Developing role-specific training materials based on actual system access levels rather than job titles.
Conducting dry-run simulations with super-users to uncover missing dependencies before cutover.

Module 6: Testing, Validation, and Cutover

Designing test cases that include edge conditions from historical incidents, not just nominal workflows.
Allocating parallel run periods based on data reconciliation complexity, especially in month-end cycles.
Coordinating cutover timing with external partners who rely on shared process outputs, such as third-party logistics providers.
Validating user access provisioning across integrated systems prior to first production transaction.
Establishing rollback criteria and data recovery procedures for failed deployments in regulated environments.
Monitoring system performance under peak load during UAT to identify scalability bottlenecks.

Module 7: Post-Implementation Governance and Optimization

Assigning process performance ownership when redesigned workflows span multiple P&Ls or geographies.
Configuring dashboards to detect degradation in cycle time or quality before they trigger service level breaches.
Conducting root cause analysis on recurring exceptions to determine whether fixes require design changes or training.
Updating process documentation in sync with system patches or regulatory updates to maintain compliance.
Managing version control when local units customize global processes, creating divergence over time.
Scheduling periodic process health checks to assess whether initial benefits are sustained or eroding.

Module 8: Scaling and Sustaining Redesign Initiatives

Building a center of excellence with dedicated process analysts versus embedding roles in business units.
Standardizing methodology and tooling across divisions to enable knowledge transfer and benchmarking.
Allocating ongoing funding for process monitoring and improvement beyond the initial project budget.
Integrating process KPIs into executive scorecards to maintain leadership attention post-implementation.
Developing a prioritization framework for identifying follow-up redesign opportunities based on impact and effort.
Managing vendor relationships for long-term support of custom workflows and integrations.