Designing the next business model before the current one plateaus
How companies can identify new value pools and build business models that combine differentiated customer value with scalable economics.
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Digital
Connect digital strategy, technology, products, operations and customer experience to enterprise priorities.
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AI and autonomous systems
Shape AI and autonomous systems around business priorities, operating models, governance and measurable outcomes.
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Risk management
Strengthen risk management by connecting exposure, controls, scenarios, governance and strategic decision-making.
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Change management and organizational effectiveness
Align people, structures and ways of working to make organizational change effective, durable and grounded.
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Business resilience
Strengthen business resilience across operations, finance, supply chains, risk, governance and critical decisions.
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Digital strategy
Define how digital capabilities, technology and data should reshape strategic choices, value creation and competitive position.
AI governance, control and operating models
Establish the governance, controls and operating structures required to manage AI responsibly at scale.
Cyber, information integrity and synthetic media risk
Assess cyber and information-integrity risks that can compromise operations, decisions, identity and stakeholder trust.
Change adoption and stakeholder alignment
Build stakeholder commitment and adoption around consequential change through explicit alignment, engagement and action.
Business continuity management
Establish the plans, responsibilities and recovery capabilities required to sustain priority operations through disruption.
Editorial overview
Articles
Integration is where the deal thesis gets tested
How post-merger operating choices, synergy discipline and organizational readiness determine whether expected transaction value reaches performance.
Read articleFocus
Real estate is moving from yield compression back toward operating performance
With financing conditions stabilizing, asset value increasingly depends on cash-flow quality, sector fundamentals and active operating capability.
Where should AI actually change the business?
The strategic question is not where AI can be used, but where it materially changes competitive position, economics or customer value.
Strategic challenges
Can health systems expand access without simply adding more clinical labor?
The challenge is redesigning pathways and roles while preserving quality in an industry where skilled capacity remains structurally constrained.
Which tasks still require human judgment once technology improves?
The challenge is redesigning roles without preserving obsolete work or delegating decisions that still need human accountability.
POV
If competitors can copy the claim, the claim is not the advantage
Defensible positioning must eventually connect to capabilities, economics, assets or choices that are harder to replicate than language.
A benefit that never reaches enterprise economics is not realized value
Transformation should be measured by changes that become observable in financial or operating performance, not by completed milestones.
Strategic impact
Coherent architecture improves reuse, integration and long-term adaptability
Clear principles and patterns help teams make compatible technology choices without requiring every decision to be centralized.
A disciplined acquisition radar makes target identification more selective
Clear filters help leadership focus on businesses that fit strategic needs before time is spent on detailed evaluation.
What we observe
Recovery plans often preserve the assumptions that caused the failure
We frequently see new schedules and budgets imposed without resolving scope instability, weak governance or unrealistic forecasts.
System portfolios often grow because retirement decisions are repeatedly deferred
New applications accumulate while legacy platforms, overlapping functionality and expensive integrations remain untouched.