8 articles

01
Strategic perspective 3 min read

Does AI Replace Technical Expertise?

AI makes it easier to turn an idea into a prototype and test its value, but it does not make technical expertise unnecessary when that work must become a product people can rely on.

02
Practical guide 6 min read

Does Your Product Really Need RAG? When Does the Knowledge Base Become Part of the Product?

A clear explanation of RAG, when digital products benefit from it, when databases or deterministic rules are a better fit, and how a knowledge base becomes a real product capability rather than a folder of files.

03
Strategy field note 3 min read

How to Build an AI Product That Is Hard to Copy

Access to AI is no longer an advantage by itself. Durable products combine market understanding, compounding data, workflow integration, trust, distribution, and a learning system that improves with use.

04
Practical guide 4 min read

From AI Experiment to Measurable Business Value

A practical path from scattered AI use to one governed, measurable workflow that earns the right to scale.

05
Leadership field note 3 min read

Why Transformation Fails Before Software Implementation

Why unresolved outcomes, ownership, incentives, and exceptions undermine transformation before a platform is selected or code is written.

06
Decision tool 3 min read

How to Choose Your First AI Use Case: A Value-versus-Feasibility Scorecard

A reusable scorecard that compares problem value with workflow, data, delivery, and risk feasibility, then turns the strongest candidate into a measurable bounded pilot.

07
Decision guide 3 min read

Automation, Assistant, or Agent?

Choose the simplest level of technology that can deliver the result, based on rule stability, judgment, permissions, reversibility, and cost of error.

08
Measurement field note 3 min read

Measure Digital Impact, Not Delivery

A leadership measurement system that connects what was shipped to adoption, changed behavior, business outcomes, cost, and risk.