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Service Delivery in Business Process Redesign

Service Delivery in Business Process Redesign

$199.00
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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.
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This curriculum spans the full lifecycle of service delivery transformation, equivalent in scope to a multi-workshop operational redesign program, addressing strategic alignment, process diagnostics, technology integration, and organizational adoption across complex, cross-functional environments.

Module 1: Strategic Alignment and Stakeholder Mapping

  • Define scope boundaries by negotiating with executive sponsors to exclude non-core processes that could dilute redesign impact.
  • Identify decision rights across business units to determine which stakeholders must approve changes to cross-functional workflows.
  • Conduct power-interest grid analysis to prioritize engagement with high-influence stakeholders resistant to automation.
  • Document conflicting service-level expectations between customer-facing units and back-office operations to surface misalignments.
  • Select a governance model (centralized, federated, or decentralized) based on organizational maturity and change capacity.
  • Establish a steering committee charter that specifies escalation paths for unresolved service delivery disputes.

Module 2: Current-State Process Assessment

  • Map end-to-end process flows using time-and-motion studies to quantify handoffs, delays, and rework loops.
  • Integrate data from ERP, CRM, and case management systems to validate process cycle times against system logs.
  • Classify process deviations as exceptions, errors, or workarounds to determine root causes of non-compliance.
  • Conduct bottleneck analysis using queue theory to identify resource-constrained stages affecting throughput.
  • Assess process documentation completeness and version control practices across departments.
  • Quantify manual intervention points requiring judgment versus those suitable for straight-through processing.

Module 3: Service Delivery Model Design

  • Decide between insourcing, co-sourcing, or full outsourcing for redesigned processes based on strategic control requirements.
  • Define service delivery tiers (e.g., L1 to L3 support) with explicit ownership and escalation protocols.
  • Select a service catalog structure that aligns process outputs with measurable business outcomes.
  • Design role-based access controls to balance operational efficiency with segregation of duties requirements.
  • Specify service-level agreements (SLAs) with realistic targets derived from historical performance baselines.
  • Integrate self-service capabilities into the delivery model while maintaining auditability for compliance processes.

Module 4: Technology Enablement and Integration

  • Choose between workflow automation platforms based on integration depth with legacy systems and change management overhead.
  • Design API contracts between process automation tools and core enterprise systems to ensure data consistency.
  • Implement logging and monitoring at integration points to trace transaction failures across systems.
  • Evaluate low-code versus custom development for automating exception handling routines.
  • Configure business rules engines to externalize decision logic from process flows for easier maintenance.
  • Address data latency issues in real-time dashboards by selecting appropriate caching and refresh intervals.

Module 5: Change Management and Adoption

  • Develop role-specific training materials based on observed skill gaps in pilot user groups.
  • Deploy process simulations to allow users to practice new workflows before go-live.
  • Negotiate temporary dual-running of old and new processes to validate output accuracy during transition.
  • Identify and engage informal influencers in each department to counter resistance to new service models.
  • Adjust performance metrics and incentives to align with redesigned process behaviors.
  • Establish feedback loops through structured user forums to capture post-implementation issues.

Module 6: Performance Measurement and KPI Governance

  • Select leading and lagging indicators that reflect both efficiency gains and service quality impacts.
  • Define data ownership for KPIs to ensure accountability in reporting accuracy and timeliness.
  • Implement automated KPI dashboards with drill-down capabilities to support root cause analysis.
  • Balance scorecard metrics across cost, quality, time, and compliance dimensions to prevent optimization of single variables.
  • Address data reconciliation issues between operational systems and reporting warehouses affecting KPI validity.
  • Review and revise KPI targets quarterly based on performance trends and business condition changes.

Module 7: Continuous Improvement and Scaling

  • Institutionalize regular process review cycles using structured retrospectives with cross-functional leads.
  • Prioritize improvement backlog using cost-of-delay and implementation effort assessments.
  • Standardize process variants across geographies while preserving necessary local compliance adaptations.
  • Develop capability maturity models to assess readiness for scaling automation to adjacent processes.
  • Manage technical debt in automation scripts by scheduling refactoring during maintenance windows.
  • Establish a center of excellence with shared resources for methodology, tooling, and best practices.
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