Insights
The AI strategy questions that belong in the boardroom
A board needs an investment and exposure conversation, not a catalogue of model features.
PerspectiveLeadership
Read guide Perspectives
AI Insights
Clear perspectives for leaders making consequential decisions about AI, growth, and organizational change.
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24 results
Insights
Why AI roadmaps fail when they become feature lists
A useful roadmap sequences decisions, organizational learning, and enabling foundations.
PerspectiveProduct
Read guide Insights
The hidden operating model inside every AI pilot
Even a small pilot creates roles, approvals, data flows, and support obligations.
PerspectiveLeadership
Read guide Insights
Treat inference as a product economics decision
Serving choices shape latency, experience, margin, and the promises a product can make.
PerspectiveProduct
Read guide Insights
A practical way to discuss token economics
Tokens become useful to leaders when translated into user actions, service levels, and unit cost.
PerspectiveLeadership
Read guide Insights
When a smaller model is the better business choice
Capability should be judged against the task, operating constraints, and total service design.
PerspectiveProduct
Read guide Insights
The case for workflow-first generative AI
The unit of transformation is usually the workflow, not the conversational interface.
PerspectiveLeadership
Read guide Insights
Human oversight should change the outcome
Human review is valuable when it applies judgment at a consequential point in the process.
PerspectiveProduct
Read guide Insights
What makes an enterprise knowledge assistant credible
Source quality, permissions, freshness, citation, and feedback matter as much as fluency.
PerspectiveLeadership
Read guide Insights
Evaluation is a product discipline
Teams need evidence about task quality, risk, experience, and change across versions.
PerspectiveProduct
Read guide Insights
Guardrails are an operating system, not a filter
Effective control combines product limits, policy, identity, monitoring, and escalation.
PerspectiveLeadership
Read guide Insights
The difference between an AI demo and an AI service
A service has owners, expectations, controls, recovery, support, and economics.
PerspectiveProduct
Read guide Insights
Finding product-market fit for AI products
Repeated user value and trusted delivery matter more than the novelty of the underlying model.
PerspectiveLeadership
Read guide Insights
Pricing AI when usage and value move differently
Pricing needs a deliberate bridge between consumption, customer value, and cost exposure.
PerspectiveProduct
Read guide Insights
The most useful AI MVP is a decision instrument
An MVP should resolve the next important uncertainty rather than imitate a finished product.
PerspectiveLeadership
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Why AI pilots struggle to reach production
The gap usually contains workflow ownership, integration, reliability, controls, and adoption.
PerspectiveProduct
Read guide Insights
A better structure for AI investment cases
Make the value mechanism, evidence, dependencies, risks, and learning gates explicit.
PerspectiveLeadership
Read guide Insights
Build versus buy is not a binary AI decision
Most durable systems combine purchased capability, internal design, integration, and operations.
PerspectiveProduct
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AI procurement needs a lifecycle view
The service, model, data terms, behavior, and risk profile can all change after signature.
PerspectiveLeadership
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What an AI center of excellence should own
A central team needs a crisp mandate across standards, enablement, platforms, and portfolio learning.
PerspectiveProduct
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Adoption is evidence about product quality
Low adoption can reveal weak workflow fit, unclear value, poor trust, or missing incentives.
PerspectiveLeadership
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How to prioritize an enterprise AI portfolio
Balance value, feasibility, risk, reuse, time to evidence, and organizational readiness.
PerspectiveProduct
Read guide Insights
The executive guide to context-window economics
More context can add useful information, but it can also increase noise, latency, cost, and exposure.
PerspectiveLeadership
Read guide Insights
Responsible AI becomes real through decisions
Principles matter when they shape ownership, evidence, release criteria, monitoring, and redress.
PerspectiveProduct
Read guide A useful first step
Bring the decision, not a polished brief.
Share the opportunity, the current constraint, and what needs to become clearer.