Best of LinkedIn: Strategy & Consulting CW 12/ 13
AI discussion in Strategy & Consulting has moved well beyond awareness and pilots. The dominant signal is execution: firms and operators are now focusing on operating model change, governed deployment, measurable value, and commercial products that embed AI into real workflows. At the same time, the sector is starting to reprice delivery, rethink talent models, and hardwire AI into compliance, diligence, and core business functions.
Date
April 2, 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!

Listen to our podcast

If you prefer listening, check out our podcast summarizing the most relevant insights from Strategy & Consulting CW 12/ 13:

Consulting Model and Delivery

  • AI is collapsing the boundary between strategy and execution, pushing firms beyond recommendation work into build, deployment, and implementation
  • The traditional consulting pyramid is under pressure as research, synthesis, and first-draft work become increasingly industrialized through agent-based workflows
  • Delivery advantage is shifting toward firms that can orchestrate governed execution at scale, not just produce sharp analysis

AI Operating Model and Transformation

  • AI is increasingly framed as an operating model challenge, with value creation depending on decision rights, workflow redesign, data readiness, and leadership alignment
  • Several posts stressed that AI programs fail when treated as isolated tools rather than enterprise-wide transformation efforts
  • The dominant message is clear: technology alone does not unlock value. Adoption, governance, and behavioral change do

Platforms and Productization

  • Leading firms are moving from bespoke advisory toward reusable AI platforms embedded into delivery, governance, and workflow orchestration
  • Product launches and platform narratives show a shift from experimentation toward enterprise-grade deployment environments with stronger control and scalability
  • The market is moving toward software-enabled consulting models where repeatable assets become a core part of the value proposition

Partnerships and Ecosystems

  • Partnerships are becoming a primary route to scale, especially where frontier AI capabilities need to be connected with enterprise integration and domain expertise
  • The strongest ecosystem moves combine consulting firms, hyperscalers, and model providers to accelerate agentic AI adoption in large organizations
  • Competitive advantage is increasingly built through coordinated ecosystems rather than stand-alone firm capabilities

Enterprise Systems and Workflow Reinvention

  • ERP, core platforms, and enterprise workflows are emerging as major AI application areas because they offer direct operational and financial impact
  • AI is often positioned not as a full replacement of legacy systems, but as a layer that simplifies complexity and improves usability around them
  • Workflow automation is becoming more action-oriented, moving from insight generation toward execution inside business processes

Governance, Risk, and Compliance

  • Governance is becoming central to the AI narrative, with strong emphasis on oversight, accountability, auditability, and secure deployment
  • Compliance is increasingly framed as a strategic value area, supported by AI-enabled operating models and more integrated rules management
  • Posts on regulation and tax show a broader trend toward productized compliance support rather than fragmented advisory responses

Diligence and Strategic Decision Support

  • Diligence is broadening from narrow transaction review toward integrated assessment across commercial, operational, technology, cyber, and ESG dimensions
  • Geopolitical volatility, tariffs, and AI disruption are now treated as structural inputs into strategic decision-making, not side considerations
  • Consulting value is shifting toward continuous intelligence and embedded decision support rather than one-off reporting

Functional Transformation

  • Finance content focused on practical AI deployment, especially in FP&A, reporting, and managed services with clearer speed and accuracy benefits
  • HR content showed a repositioning from administrative support toward organizational effectiveness and capability transformation
  • Customer and marketing themes emphasized that growth now depends on measurable, end-to-end redesign across journeys, functions, and supporting technology

Economics and Commercial Model

  • Consulting economics are being rethought as firms move away from effort-based logic toward pricing tied more closely to outcomes and delivered value
  • AI is increasing pressure on legacy billing models because clients expect efficiency gains to translate into commercial change
  • Broad and vague offerings were repeatedly criticized, with sharper positioning seen as essential to reduce complexity and improve conversion

Leadership and Human Differentiation

  • Human judgment, curiosity, and original thinking remain the core differentiators as AI takes over more standardized cognitive work
  • Several posts warned that over-reliance on AI can flatten thinking, reduce creativity, and weaken the distinctiveness of consulting advice
  • Leadership is increasingly defined by the ability to combine AI adoption with human interpretation, clear communication, and disciplined decision-making

Subscribe to newsletter

Subscribe to receive the latest blog posts to your inbox every week.

Please confirm your GDPR consent to join our mailing list.
By subscribing you agree to with our Privacy Policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.