Description

This curriculum spans the full lifecycle of a Target Operating Model redesign, equivalent in scope to a multi-phase transformation program involving diagnostic assessments, cross-functional process reengineering, organizational realignment, and enterprise-scale change management.

Module 1: Defining the Strategic Imperative for Target Operating Model Transformation

Conduct a diagnostic assessment to determine whether process inefficiencies stem from structural misalignment, capability gaps, or legacy system constraints.
Align business unit leaders on a shared definition of operational excellence, including quantifiable thresholds for cycle time, cost per transaction, and error rate.
Evaluate the feasibility of incremental improvement versus full redesign by mapping current-state process performance against strategic growth targets.
Identify regulatory or compliance drivers that constrain operating model flexibility, such as data residency requirements or audit trail mandates.
Establish decision rights for process ownership across functions to prevent accountability gaps during model transition.
Assess the impact of existing commercial contracts on outsourcing or automation options within the target operating model.
Define the scope boundary for redesign, explicitly excluding processes that are candidates for divestiture or third-party management.

Module 2: Current-State Process Mapping and Performance Diagnostics

Deploy process mining tools to extract event logs from ERP and CRM systems, validating observed workflows against documented procedures.
Identify handoff points between departments where rework loops or delays consistently occur, using timestamp analysis and exception logs.
Quantify non-value-added time in end-to-end processes by segmenting activities into value-add, business-value-add, and non-value-add categories.
Interview frontline supervisors to uncover informal workarounds that compensate for system limitations or approval bottlenecks.
Map role-to-activity matrices to detect over-concentration of tasks in specific positions, indicating single points of failure.
Correlate process performance outliers with organizational factors such as shift patterns, location-specific policies, or system access levels.
Document data quality issues at process interfaces, including missing fields, inconsistent coding, and reconciliation delays.

Module 3: Designing the Target Process Architecture

Select between centralized, decentralized, or hybrid process execution models based on transaction volume, skill availability, and control requirements.
Define standardized process variants to accommodate regional regulatory differences without creating full process silos.
Introduce decision gates in workflows to route cases based on risk score, value threshold, or customer segment.
Design exception handling protocols that escalate only when automated resolution fails, minimizing human intervention.
Specify data ownership rules at each process stage to ensure auditability and prevent duplication across systems.
Embed control points into automated workflows to enforce segregation of duties without manual oversight.
Develop service level agreements between internal process teams to formalize handoff expectations and performance accountability.

Module 4: Organizational Design and Role Realignment

Redesign job descriptions to reflect new process responsibilities, eliminating redundant approval roles created under legacy systems.
Determine reporting lines for shared service roles, balancing matrix accountability with clear performance evaluation paths.
Establish career progression ladders for process-centric roles, differentiating between specialist, supervisor, and continuous improvement tracks.
Define staffing models using transaction-based workload forecasting, adjusting for seasonality and growth projections.
Negotiate union or labor agreements when relocating roles across geographies or changing work classification.
Implement a center of excellence structure to maintain process standards while allowing local adaptation within defined parameters.
Assign RACI matrices to critical processes to clarify who is responsible, accountable, consulted, and informed at each stage.

Module 5: Technology Enablement and System Integration

Select low-code platforms versus custom development based on process stability, expected change frequency, and IT support capacity.
Design API contracts between core systems and automation tools to ensure reliable data exchange and error handling.
Configure workflow engines to support dynamic routing based on real-time data inputs, not just static rules.
Implement logging and monitoring for automated processes to support audit requirements and root cause analysis.
Plan data migration from legacy systems, including validation rules to detect and reconcile discrepancies pre-cutover.
Integrate robotic process automation (RPA) scripts with enterprise authentication and access control frameworks.
Define fallback procedures for when automated processes fail, ensuring business continuity without reverting to manual chaos.

Module 6: Change Management and Adoption Strategy

Identify informal influencers in each business unit to co-develop change narratives that address local pain points.
Design role-based training modules that simulate actual process tasks, not generic software overviews.
Launch pilot implementations in low-risk business units to refine communication and support models before enterprise rollout.
Establish a hypercare support team with defined escalation paths and resolution time targets for post-go-live issues.
Track user adoption through system login frequency, task completion rates, and error recurrence patterns.
Modify incentive structures to reward adherence to new processes, particularly for managers who previously bypassed controls.
Conduct structured feedback sessions with displaced workers to address concerns and identify redeployment opportunities.

Module 7: Performance Measurement and Continuous Improvement

Define leading and lagging KPIs for each redesigned process, ensuring they align with financial and customer outcomes.
Implement process dashboards with drill-down capability to isolate performance issues to specific teams or systems.
Establish a monthly operating review rhythm to evaluate process performance and prioritize improvement initiatives.
Integrate customer satisfaction metrics with operational data to identify experience gaps not visible in internal reports.
Conduct root cause analysis on recurring exceptions using structured methods like 5 Whys or fishbone diagrams.
Launch controlled A/B tests to evaluate the impact of workflow changes before enterprise deployment.
Update process documentation automatically from workflow models to maintain accuracy and reduce maintenance overhead.

Module 8: Governance, Risk, and Scalability Planning

Form a governance board with cross-functional leaders to approve process changes that impact multiple domains.
Define thresholds for change control, requiring formal review for modifications affecting compliance, cost, or customer impact.
Conduct privacy impact assessments when redesigning processes that handle personally identifiable information.
Stress-test the operating model against demand spikes, such as peak season or promotional campaigns.
Document fallback operating procedures for crisis scenarios where digital systems are unavailable.
Develop a scalability roadmap outlining when to shift from manual to automated, or shared to dedicated, process execution.
Perform quarterly control assessments to verify that automated checks remain effective after system upgrades.