How to choose the first AI automation workflow
Score opportunities by volume, value, data readiness, risk and ownership before choosing a model or vendor.
Read the guide →Practical buyer guidance
Clear explanations for leaders evaluating AI automation, custom applications and operational software.
Score opportunities by volume, value, data readiness, risk and ownership before choosing a model or vendor.
Read the guide →A decision framework for determining when configuration, integration or a purpose-built application is justified.
Read the guide →Where AI can support capture, compliance and delivery—and where human review remains essential.
Read the guide →Editorial standard
Olympia insight pages define the problem, explain tradeoffs and identify situations where a custom build may not be appropriate. Claims should be supportable, time-sensitive sources should be named and illustrative examples should not be presented as client outcomes.
Apply the framework
Use the guidance, then bring representative inputs and the people responsible for the process.