Use scenarios to expose dependencies, trigger points and resilient choices rather than claim certainty about one forecast.
Author Archives: Tony New 1111032026
Measure how long important decisions wait for information, ownership and approval—and where that delay destroys value.
Questions for evaluating AI vendors across data, security, model dependency, controls, portability and operating fit.
A lightweight change-control model for prompts, models, permissions, tools and policy-sensitive AI workflows.
Estimate automation value using volume, time saved, adoption, quality effects, implementation cost and ongoing operating cost.
Human review is only a control when people have information, time, authority and a realistic ability to intervene.
Build a review that connects performance, causes, decisions, risks and forward actions without drowning in slides.
Use value, scope and buyer commitment to create a coherent ladder from free resources to advisory.
A lightweight post-deployment monitoring model covering performance, drift, incidents, permissions and user behavior.
Design AI evaluation around real workflows, failure modes and operational thresholds instead of impressive examples.