AI budgets get renewed one agent at a time. A practical way to decide which AI agents to scale, fix or retire, and the evidence each decision needs.

How to turn a causal LLM into a Jev-like decision model: edit the attention mask, swap the LM head, and fine-tune for calibrated probabilities in one pass.

Employees often overestimate how much time AI saves them. Here is how to measure time saved from real usage, and why it holds up in a budget review.

How Oura measures AI support and human reps on a single scorecard, TCX, and why judging the conversation from the user's side changed the product.

Nebuly's AI Proficiency module measures how well employees work with AI, mapping real skills to Anthropic's 4D Fluency framework.

Putting AI agents in customer support is the safest bet UK businesses can make, and the most limited. Here's what containment rates can't tell you.