A tailored course, built for your situation
Pragmatic Operating-Model Design for Senior Leaders
Turn strategic vision into executable operating models with precision and scalability
The situation this course is for
Even well-conceived strategies fail when the underlying operating model doesn’t support execution. Leaders often inherit fragmented governance, unclear decision rights, or misaligned capabilities, causing delays, compliance gaps, and execution drag. Without a structured way to design and evolve the operating model, transformation efforts remain theoretical rather than tangible.
Who this is for
Senior leaders in financial services and regulated industries responsible for operating-model transformation, technology alignment, enterprise architecture, or strategic execution
Who this is not for
Individual contributors without decision-making authority, consultants focused only on documentation, or teams seeking high-level overviews without implementation depth
What you walk away with
- Design an operating model that aligns strategy, governance, and execution
- Map capabilities and decision rights to eliminate organizational friction
- Integrate risk, compliance, and technology constraints into model design
- Sequence implementation to deliver value incrementally
- Apply templates and frameworks to real initiatives with confidence
The 12 modules (with all 144 chapters)
- Defining the operating model in modern organizations
- Strategic alignment vs operational feasibility
- Common failure patterns and how to avoid them
- The role of leadership in model adoption
- Balancing standardization and flexibility
- Stakeholder mapping for cross-functional buy-in
- Assessing organizational readiness
- Setting measurable outcomes for model success
- Integrating feedback loops from day one
- Benchmarking against industry leaders
- Scoping the initial design effort
- Creating the operating model charter
- Decoding strategic mandates for operational impact
- Identifying execution barriers in current state
- Mapping strategic goals to capability requirements
- Prioritizing initiatives based on model fit
- Aligning board expectations with delivery capacity
- Managing competing strategic narratives
- Defining non-negotiables and trade-offs
- Linking M&A activity to model evolution
- Incorporating regulatory shifts into planning
- Using scenario planning to stress-test intent
- Balancing innovation with core stability
- Communicating strategic rationale across levels
- Types of governance in complex organizations
- Designing effective steering committees
- Clarifying decision rights and RACI evolution
- Creating lightweight approval workflows
- Integrating risk and compliance oversight
- Avoiding governance overload and bottlenecks
- Cross-border coordination mechanisms
- Temporal governance for time-bound initiatives
- Escalation protocols for stalled decisions
- Measuring governance effectiveness
- Adapting governance to growth phases
- Transitioning from crisis to steady-state governance
- Defining business capabilities in financial contexts
- Differentiating core, enabling, and emerging capabilities
- Assessing maturity and performance gaps
- Mapping dependencies across functions
- Sequencing for quick wins and long-term value
- Integrating technology enablers into capability plans
- Outsourcing vs insourcing capability decisions
- Building capability ownership models
- Using capability maps for budgeting alignment
- Linking talent strategy to capability development
- Stress-testing capability resilience
- Updating maps in response to market shifts
- Bridging enterprise architecture and operating design
- Assessing platform maturity for model needs
- Aligning IT governance with business governance
- Managing technical debt in transformation
- Designing for interoperability and scale
- Selecting cloud strategies that support agility
- Integrating data governance into operations
- Ensuring cybersecurity is embedded, not bolted on
- Leveraging automation without disrupting flow
- Modernizing legacy systems within model constraints
- Balancing innovation velocity and system stability
- Measuring tech alignment with operating outcomes
- Common decision-making breakdowns in large firms
- Designing decision grids for clarity
- Mapping decisions to roles, not titles
- Handling dual reporting and matrix complexities
- Delegating authority without losing control
- Creating decision logs for transparency
- Resolving conflicting mandates across units
- Empowering local decisions within global guardrails
- Timing decisions to match execution pace
- Reviewing and recalibrating decision rights
- Training leaders on decision accountability
- Auditing decision quality and speed
- Moving from siloed compliance to integrated control
- Designing controls that enable, not hinder, execution
- Aligning operating rhythms with audit cycles
- Integrating ESG and conduct risk into operations
- Ensuring model resilience under regulatory scrutiny
- Mapping regulations to process touchpoints
- Creating compliance feedback loops
- Balancing innovation with regulatory adherence
- Leveraging automation for real-time monitoring
- Preparing for regulatory changes proactively
- Training teams on compliance as enablers
- Demonstrating operating-model maturity to examiners
- Avoiding big-bang transformation pitfalls
- Defining minimum viable operating models
- Identifying quick wins without compromising vision
- Building coalitions for early adoption
- Measuring progress beyond milestones
- Managing resistance through transparency
- Using pilots to validate model assumptions
- Scaling successful elements systematically
- Adjusting sequencing based on feedback
- Communicating progress to stakeholders
- Maintaining momentum during transitions
- Celebrating operational milestones
- Selecting leading vs lagging operating indicators
- Designing dashboards for leadership consumption
- Balancing efficiency, risk, and customer outcomes
- Creating feedback loops from front-line teams
- Using data to identify model breakdowns
- Aligning incentives with operating goals
- Conducting operating-model health checks
- Benchmarking performance across units
- Adjusting KPIs as strategy evolves
- Ensuring metric integrity and transparency
- Linking performance to capability development
- Reporting model effectiveness to the board
- Recognizing early signals of model obsolescence
- Designing for continuous adaptation
- Creating model review and refresh cycles
- Incorporating market and tech disruptions
- Using war games to test model resilience
- Managing model drift over time
- Updating roles and structures dynamically
- Scaling down as well as up
- Preserving institutional knowledge during changes
- Balancing consistency with agility
- Leading change without constant reorganization
- Embedding learning into operating rhythms
- Tailoring messages to different stakeholder groups
- Building executive sponsorship effectively
- Engaging middle management as change carriers
- Addressing concerns without diluting vision
- Using storytelling to convey model value
- Managing expectations across geographies
- Creating two-way communication channels
- Leveraging champions across the organization
- Preparing FAQs and decision narratives
- Conducting alignment workshops
- Measuring stakeholder sentiment
- Sustaining engagement over long rollouts
- Using the playbook to initiate operating-model design
- Customizing templates for your context
- Running a diagnostic assessment workshop
- Facilitating leadership alignment sessions
- Conducting capability gap analysis
- Designing governance prototypes
- Mapping decision rights in practice
- Integrating risk controls into workflows
- Sequencing change with stakeholder impact
- Measuring early adoption and impact
- Iterating based on real-world feedback
- Scaling the model across business units
How this maps to your situation
- Leading a transformation initiative with unclear operating foundations
- Integrating new technology or regulatory requirements into current operations
- Facing misalignment between strategy and execution teams
- Scaling operations without increasing complexity
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 45, 60 minutes per module, designed for completion over 8, 12 weeks with real-world application between modules.
How this compares to the alternatives
Unlike generic leadership courses or high-level strategy frameworks, this program provides implementation-grade tools, financial-services-relevant examples, and a structured playbook to apply immediately, making it distinct from MOOCs, executive summaries, or consulting slide decks.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.