Guides
Make your next AI decision with evidence.
Start with the work you want to improve. These guides help you choose a useful first test, understand the economics, and decide what the results justify.
Choose the work
How to choose your first AI workflow
Compare AI workflow ideas, identify blockers and choose a small first test with a clear owner, useful baseline and manageable consequences of error.
A comparison of three workflows, the blockers to resolve, and a brief for your first test.
8 min read
Understand the cost
Is an AI project worth the cost? A worked business case
Calculate AI project ROI with a worked example covering adoption, human review, integration, running costs and the difference between capacity and cash savings.
A worked business case with adoption, review effort, running costs, and downside scenarios.
8 min read
Judge the evidence
How to decide whether an AI pilot worked
Set AI pilot success criteria around real work: outcome quality, human effort, adoption and permitted actions. Use the evidence to continue, change or stop.
A practical scorecard for deciding whether to continue, change the approach, or stop.
8 min read
Bring it back to your workflow.
Have a task in mind? Bring one recurring workflow and its difficult exception. We can help define what a useful first test should establish.
Explore a workflow assessmentFor technical explanations and investigations, read the Blog.