What it really takes to put an AI agent into production
The demo is the easy 20%. We break down the unglamorous engineering — tools, guardrails, evals and observability — that separates an agent that impresses from one you can actually depend on.
95% of AI Projects Fail — Here’s What the Other 5% Do Differently
MIT says 95% of AI pilots produce no profit. Here’s what the successful 5% do before writing a single line of code.
AI Governance for Regulated Industries: What Your Board Needs to Know
In regulated industries, governance isn’t a roadblock — it’s the accelerator. Here’s what your board needs to understand.
What a Fractional CAIO Does (And Why You Might Need One Before a Full-Time Hire)
You need senior AI leadership. You don’t need a $400K executive — yet. Here’s the fractional model.
The $2.59 Trillion AI Spending Reckoning — And How to Make Sure Your Investment Isn’t Wasted
Global AI spending hits $2.59T in 2026. Most of it is failing. Here’s how to make sure yours isn’t.
Computer vision in the operating room: precision over hype
What it actually takes for a vision system to be trusted next to a surgeon — latency, failure modes and the human in the loop.
Do you need a Chief AI Officer? The fractional case
Most mid-size companies need senior AI judgment long before they need a full-time executive. Here’s the math.
Governing AI before it governs you
A practical starting point for evaluation, monitoring and policy — without grinding your roadmap to a halt.
Map your processes before you automate them
Automation fails when it paves a broken path. Why the map comes before the build, every time.
Buy, build, or both: a CIO’s guide to AI vendors
A clear-eyed framework for deciding what to build in-house, what to buy, and how to avoid lock-in.
AI in safety-critical environments: lessons from the field
What healthcare and nuclear power taught us about shipping AI where failure is not an option.