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Practical technology insights for business leaders. Strategy, AI, development, and process optimization.
How Much More AI Can We Get From the Power We Have?
AI customers want more dependable work for the same spend. Software, chips and power determine what providers can deliver while new capacity is being built.
Why a Technology Decision Keeps Getting Delayed
Why competing recommendations leave technology decisions unresolved, and how experienced technical judgment and responsibility for delivery help.
What Should Improve When You Automate?
How to set expectations for an automation project and judge whether it delivers the business result you need.
How to Audit a Business Process Before Adding AI
A practical method for tracing a business process, finding delays and errors, deciding what to change, and testing where AI fits.
AI Memory Is More Than Chat History: What Production Systems Actually Need
Conversation history is not memory, and extracting a user profile is only the middle of the architecture. A production system also has to know whose knowledge it is, whether it is still true, and whether it may be used right now.
We Rewrote a 5,600-Line ColdFusion Backend in Python — With Zero Downtime and 145 Tests Proving It
A live application on an aging ColdFusion backend that couldn't run on modern Linux. The lift-and-shift would have cost 1–2 GB of RAM and locked the client into a runtime they were trying to leave. So we rewrote the whole thing — carefully. Here's exactly how, including the four bugs we found just by reading the old code.
How Law Firms Are Using AI Without Compromising Client Confidentiality
AI can cut legal research time by 70%. But sending client documents to public AI tools compromises attorney-client privilege. Here's how forward-thinking firms are deploying AI responsibly.
School Technology in 2026: Beyond the Smart Board
Most schools have technology. Few have technology that works together. The gap between what's possible and what most schools actually use is widening every year.
Why Life Sciences Companies Need Private AI Infrastructure
Your research data is your competitive advantage. Sending it to a public AI service puts it at risk. Here's why private AI infrastructure matters for life sciences companies.
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