Responsible AI workshop
AI Audit Readiness & Evidence
Assess one AI system with the STARED framework and build the evidence an auditor accepts.
- 2 days
- Hands-on in AI Governance Platform
- On your own system
The problem
When an auditor or regulator asks how an AI system was tested and governed, most teams have no evidence trail. This workshop assesses one of your systems and designs the logging and documentation to prove it.
Who it's for
Risk, audit, compliance, and product owners preparing an AI system for review or launch.
What to bring
One AI system to assess, with its documentation and owners.
The course side
What your team learns
- 1
STARED assessment
Security, Technical, Assessment, Regulatory, Ethics, and Data review of your system.
- 2
Bias and fairness checks
Targeted probes for the decisions your system makes.
- 3
Audit trail design
Prompt and decision logging, PII handling, and retention.
- 4
Evidence pack
What to document, where it lives, and who signs off.
Builds on these course lectures
- Need for Auditing AI Systems
- Components of Auditing AI systems
- AuditOne Case Study Deep Dive
The platform side
What your team builds in AI Governance Platform
- Run the STARED assessment on one system
- Collect test results, logs, and sign-offs as audit evidence
- Export an audit-ready evidence pack
Also used: STARED framework, Giskard bias scans, Evidence pack template
About AI Governance Platform →Your team leaves with
- • A STARED assessment summary
- • An audit-trail design and evidence checklist
- • A remediation roadmap
Book this workshop
Request AI Audit Readiness & Evidence
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