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Practical perspectives on AI, cloud, security, and privacy from our consulting practice
Privacy
What mid-market companies get wrong about CCPA/CPRA, and a practical sequence for getting compliant without stalling the business.
July 16, 2026
Artificial Intelligence
Most AI pilots stall before production. A practical look at why, and the governance, data, and ownership decisions that get pilots shipped.
July 16, 2026
Cloud
Cloud waste hides in defaults: oversized instances, idle environments, and unmanaged storage. A pragmatic FinOps approach to finding and cutting it.
July 16, 2026
Cybersecurity
Zero trust is not just for the Fortune 500. A right-sized roadmap for smaller enterprises: identity first, then devices, then network.
July 16, 2026
Artificial Intelligence
Prompting, retrieval-augmented generation, and fine-tuning solve different problems. How to choose the cheapest approach that meets the requirement.
July 16, 2026
Artificial Intelligence
You cannot unit test a language model the way you test code. How evals, guardrails, and human review let teams ship LLM features with confidence.
July 16, 2026
Artificial Intelligence
Adding language model capability to an existing application is an integration problem, not a research project. Patterns that work in production.
July 16, 2026
Artificial Intelligence
Agentic AI is powerful and overhyped at the same time. A sober look at which workflows suit autonomous agents today and which still need a human.
July 16, 2026
Artificial Intelligence
AI initiatives inherit every data problem you already have. What data readiness actually means and how to reach it without a multi-year program.
July 16, 2026
Artificial Intelligence
The model API bill is the smallest line item. Budgeting an AI feature honestly: inference, evaluation, monitoring, and the maintenance tail.
July 16, 2026