AI in Practice
The Adult in the Room Approach to Adopting AI
Why businesses need a middle path between reckless AI adoption and paralysis — and a 7-step framework to get there
Writing
Frameworks for responsible technology leadership.
Articles and practical guidance on responsible AI adoption, agentic systems, governance, cloud transformation, DevSecOps, and executive technology leadership.
AI in Practice
Build a Receipt Scanner That Pays for Itself: A Claude Skill in Three Iterations
A practical guide to building an AI-powered receipt scanner, expense logger, and QuickBooks exporter — one iteration at a time — for small businesses tired of manual expense filing.
Responsible AI
Trust-to-Deploy: The Missing Layer in Enterprise AI Adoption
Why responsible AI adoption requires trust, governance, architecture, observability, and measurable business value before scale.
Technology Leadership
AI Is a Capability Multiplier, Not a Headcount Strategy
A leadership perspective on using AI to augment people, improve decision quality, and strengthen organizational effectiveness.
AI Governance
Why Every Organization Needs an AI Operating Model
AI initiatives need decision rights, governance, security, measurement, and adoption practices to become trusted business capabilities.
Agentic Systems
Responsible Agentic Systems in the Enterprise
Agentic workflows can create leverage, but enterprise adoption requires oversight, boundaries, observability, and accountable design.
Cloud Strategy
Governance as an Enabler of Innovation
Practical governance gives teams the clarity and confidence to adopt emerging technologies responsibly and at scale.
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