AI readiness workshops
Work through everyday tasks with the people responsible for operations, technology, data, and customer service to identify a suitable first AI project.
Discuss a projectThe purpose
We examine how the work is done today and document decisions, exceptions, data needs, and responsibilities.
Example scenarios
Recurring report
A report draws on two systems whose figures do not agree. The team examines which source to use, how to investigate the difference, and who checks the final report.
Customer inquiry
A customer asks for an update while an operational issue is still being investigated. The team identifies approved information, review requirements, and escalation responsibilities.
Incomplete data
An input file arrives late or with missing records. The team works through what can continue, what must stop, and who decides.
We also use industry-specific scenarios. In financial services, for example, a restricted security in a trading workflow raises questions about who identifies it, who can stop the process, and which sources support the decision.
Deliverables
You receive a record of process and data issues, recommended AI use cases, decision rules, governance requirements, and a pilot plan.
Engagement structure
We begin by agreeing on the workflows, participants, and questions to examine. We then prepare and run scenario sessions, review the findings with your team, and document the next steps.
See readiness assessments and AI governance for related work.
Contact Cyaxios
Describe the work you are considering and the questions you need to resolve.
Thank you for your inquiry.
We will respond by email.