Research library
Our Insights, grouped into four themed reports you can read end to end or hand to a committee. Unlock any report with your work email.

Measuring whether enterprise AI actually produced anything
A consolidated report on why most enterprise AI programs never produce a measured outcome, what a defensible eval looks like in production, and how to choose metrics that survive contact with real operations.

Where the control boundary belongs when software acts on your behalf
A practitioner's report on delegation boundaries, prompt injection as a capability problem, connector risk, browser agents holding live sessions, and how EU AI Act timing lands on operations.

Claims, underwriting, and the judgment nobody priced
How AI agents change claims decisions, underwriting judgment, and policy servicing — including what breaks when you automate half a job and why brittleness was sometimes doing useful work.

Model choice, inference pricing, and how far to delegate
The economic decisions behind enterprise AI: framing the strategy question correctly, choosing the cheapest model that is right enough, and the pricing assumptions most programs underwrote without noticing.

Contact centers, complex cases, and the decisions worth automating
A working report on why deflection and handle time mislead, how routing quality determines everything downstream, what full-population quality review changes, and where escalation should stay human.

Submittal queues, change order evidence, and early schedule-risk detection
A practitioner report on submittal queues as schedule risk, contemporaneous evidence for change orders, and early detection of milestone slips on commercial projects.

Speed to lead, scheduling, and the proposal window
A practitioner report on the three windows that decide a residential structural repair business — the minute after the inquiry, the hour the board is built, and the ninety minutes the inspector is on site — plus the roll-up integration failure that follows.