Best of LinkedIn: Strategy & Consulting CW 16/ 17

Over the past two weeks, the Strategy & Consulting conversation shifted from AI ambition to execution accountability. The strongest signals centered on CEO ownership, agentic AI, operating model redesign, governance, and consulting firms proving measurable impact beyond advisory.

Date

April 30, 2026

Strategy & Consulting

Methodology: Every two weeks we collect most relevant posts on LinkedIn for selected topics and create an overall summary only based on these posts. If you´re interested in the single posts behind, you can find them here: https://linktr.ee/thomasallgeyer. Have a great read!

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If you prefer listening, check out our podcast summarizing the most relevant insights from Strategy & Consulting CW 16/ 17:

Executive Strategy, CEO Agenda, and Resilience

CEOs were urged to treat volatility as a strategic trigger, not a reason to delay action
No-regret moves focused on balance sheet stress tests, sharper pricing, and deeper customer relationships
Disruption was framed as an opportunity for CEOs who move decisively on AI, M&A, growth, and talent
Board and CEO alignment emerged as a critical success factor for enterprise AI strategies
CEO resilience was positioned across financial, operational, organizational, and external dimensions
Market entry strategy was linked to geopolitical fragmentation, domestic AI ecosystems, and country-level constraints
Leadership gaps were framed less as technology gaps and more as accountability, focus, and execution gaps

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AI Strategy, Agentic AI, and Enterprise Platforms

AI was positioned as a core business capability, not a technology initiative or experimental workstream
Winning AI strategies focused on fewer high-value domains instead of long lists of disconnected use cases
Agentic AI moved into the foreground as companies shift from pilots toward embedded workflow execution
Platform control became a strategic theme as managed agents, orchestration layers, and system-of-record logic mature
Workday’s Agent System of Record highlighted the risk of agent sprawl and new forms of shadow IT
Claude Managed Agents were framed as a sign that temporary AI wrappers may be absorbed by core platforms
AI adoption was positioned as the starting line, with value coming from deciding what work to stop or redesign

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Operating Model, Workforce, and Change

Operating model redesign was repeatedly presented as the prerequisite for AI value capture
Process simplification came before AI deployment, with pricing exception workflows cited as a source of 20-30% efficiency gains
Workforce planning shifted from headcount logic to work-first design as AI changes tasks, roles, and value creation
Leaders were encouraged to redesign incentives, governance, and decision rights before scaling AI
Hybrid work experience was positioned as an advantage for AI adoption due to stronger documentation and discretionary effort
Change fatigue, AI accountability gaps, and outdated organizational structures appeared as recurring leadership constraints
Transformation was framed as people-led, with technology enabling change rather than replacing organizational commitment

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Consulting Market, Firm Economics, and Positioning

Consulting firms were challenged to make buying easier through clearer entry points and stronger proof patterns
The role of consulting was framed as shifting from trusted advisor to transformation partner with implementation accountability
Clients were portrayed as demanding repeatable delivery, measurable outcomes, and stronger execution support
Big Four partner model changes were linked to more corporate firm structures and smaller equity leadership groups
BCG reported continued growth, with AI and technology work becoming central to firm performance and operating model evolution
Deloitte, EY, BCG, McKinsey, PwC, Oliver Wyman, Grant Thornton, and Gartner appeared across AI, cyber, tax, finance, and transformation themes
Consulting differentiation increasingly depended on implementation credibility, not broad capability language

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Partnerships, Products, and Market Launches

McKinsey launched the McKinsey Google Transformation Group with Google Cloud and Google DeepMind to scale enterprise AI value
BCG expanded its Google Cloud partnership to move companies from fragmented pilots to scaled agentic adoption
Oliver Wyman and NYSE launched CEO Agenda 2026, focused on disruption, growth, AI, talent, and CEO decision-making
BCG and the World Gold Council published “Gold as a Service,” focused on reducing complexity and scaling digital gold issuance
Gartner briefings highlighted AI agents and the creation of measurable business value from AI initiatives
Deloitte was recognized by manager magazin as a market leader in process mining consulting capabilities
EY was named a leader in cybersecurity consulting services, reinforcing the link between AI-driven transformation and integrated compliance

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Risk, Cybersecurity, Governance, and Responsible AI

AI governance was framed as a value and control discipline, not only an ethics or compliance topic
Strong governance models combined value alignment, layered principles, dynamic architecture, and scenario planning
Cybersecurity content focused on confidence gaps, executive influence, consolidation, persistence, and stability
AI-enabled vulnerability discovery reinforced the need for built-in governance and proactive risk management
Risk and compliance operating models were positioned as needing more adaptability due to volatility, AI, and geopolitics
Tax functions were framed as a practical barometer for enterprise AI readiness under regulatory scrutiny
Responsible AI maturity increasingly depended on architecture, controls, and business accountability working together

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Financial Services, Payments, and Risk

Wealth and asset management firms were urged to align M&A, AI personalization, and digital assets with clear operating models
Financial services activity remained elevated, but with tighter risk discipline and capability-led transaction logic
Global Capability Centers were positioned as strategic platforms for enterprise-wide AI adoption and resilience in financial services
Asset management growth was framed as the core imperative as cost pressure continues to challenge profitability
Digital gold and tokenized asset issuance were presented as examples of market simplification through technology and trust
CFOs were expected to contribute more to strategy, while meaningful AI deployment in finance remained limited
Managed services were positioned as a way to turn finance, risk, and tax into strategic capabilities under volatility

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Data, Architecture, and Technology Foundations

Enterprise architecture was framed as a business decision discipline, not a documentation exercise
Architecture value came from real decisions made outside formal architecture processes
Lifecycle governance was positioned as the mechanism that turns design intent into execution outcomes
Data governance was portrayed as a strategic advantage when aligned with business and IT priorities
S/4HANA transformation was positioned as a top-down strategy and capability shift, not an ERP requirements project
CIOs were shown as increasingly central to growth strategy when technology connects directly to customer outcomes
Platform architecture became a foundation for scalable AI, workflow integration, and transformation credibility

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Sustainability, Climate, and ESG Strategy

Climate risk was framed as a strategic risk category requiring broader systemic thinking
Physical climate risk was positioned as only one part of a wider strategic risk landscape
Climate transition forecasting was challenged as flawed, with simulation models presented as a potential improvement
ESG reporting was positioned as a strategic advantage when integrated into governance and AI-enabled execution
CSR was described as moving from side activity to core business strategy
Shipping decarbonization debates highlighted the strategic tension between shared ambition, cost allocation, and control
Sustainability strategy increasingly depended on measurable impact, governance integration, and credible communication

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