Writing
Frameworks for responsible technology leadership.
Articles and practical guidance on responsible AI adoption, agentic systems, governance, cloud transformation, DevSecOps, and executive technology leadership.
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.
Why responsible AI adoption requires trust, governance, architecture, observability, and measurable business value before scale.
A leadership perspective on using AI to augment people, improve decision quality, and strengthen organizational effectiveness.
AI initiatives need decision rights, governance, security, measurement, and adoption practices to become trusted business capabilities.
Agentic workflows can create leverage, but enterprise adoption requires oversight, boundaries, observability, and accountable design.
Practical governance gives teams the clarity and confidence to adopt emerging technologies responsibly and at scale.