AI moves into the physical world
Why robotics and autonomous systems are becoming a strategic operating-model choice rather than a standalone technology investment.
Read articleMacro area
AI and autonomous systems
Shape AI and autonomous systems around business priorities, operating models, governance and measurable outcomes.
Discover the macroMacro area
Digital
Connect digital strategy, technology, products, operations and customer experience to enterprise priorities.
Discover the macroMacro area
Analytics, data and decision systems
Turn data, analytics and decision systems into clearer insight, stronger choices and more effective execution.
Discover the macroMacro area
Business strategy
Define business strategy through rigorous choices on growth, positioning, portfolios, resources and execution.
Discover the macroMacro area
Risk management
Strengthen risk management by connecting exposure, controls, scenarios, governance and strategic decision-making.
Discover the macroRelated capabilities
Agentic and autonomous workflows
Design agentic and autonomous workflows around decisions, processes, controls, human oversight and execution.
Cybersecurity strategy
Set cybersecurity priorities, investment choices and target posture around the digital risks most consequential to the enterprise.
Data governance, information architecture and trust
Create trusted enterprise data through clear ownership, information architecture and embedded governance.
Product strategy
Define which products to build, whom they should serve and how they can create differentiated customer and business value.
AI, autonomous and emerging technology risk
Assess and govern the risks created by AI, autonomous systems and emerging technologies as they enter critical enterprise decisions and operations.
Editorial overview
Articles
AI risk is becoming enterprise risk
Why governance of autonomous systems must connect technology controls with operational consequences, accountability and business appetite.
Read articleFocus
What problem requires the asset to exist?
Starting with a proposed facility rather than the underlying business requirement can eliminate lower-capital or more flexible alternatives before they are considered.
Service operations depend on how work moves across people, systems and queues
Performance reflects demand variability, case complexity, handoffs and the ability to resolve work without unnecessary escalation.
Strategic challenges
Which business dependencies rely on natural systems that are being degraded?
The challenge is identifying material dependencies and impacts without reducing nature risk to an abstract environmental inventory.
Can a major implementation change systems without destabilizing core operations?
The challenge is sequencing technical and operational change while managing dependencies across data, processes and teams.
POV
Lower labor cost is not workforce efficiency if the work still needs to be done
The relevant question is whether capacity matches demand at the right skill level, not whether payroll simply became smaller.
A launch date is not evidence that a market is ready
Activation should follow operational and commercial readiness, not become a deadline that forces unresolved issues into live operations.
Strategic impact
Independent target intelligence strengthens early acquisition judgment
External evidence on positioning, capabilities and exposure helps buyers decide where deeper diligence is warranted.
Optimization makes trade-offs explicit
Objectives and constraints can be represented directly, allowing competing uses of resources to be evaluated within the same analytical problem.
What we observe
Attribution models often create precision that the underlying evidence cannot support
Detailed percentages can obscure tracking gaps, selection effects and interactions no single model can reliably disentangle.
Data protection programs often add controls before resolving what needs protection
Encryption and access rules become inconsistent when sensitive information, ownership and permitted uses remain unclear.