Cedarline / readiness check

See where your AI program is ready to stand up.

Take a practical snapshot of the controls behind your AI work. There are 15 questions across five areas, and most people finish in under five minutes.

Anonymous by designFive control areasOne clear starting point

Your answer record remains anonymous. We use this email only to send your results summary and a link to request a discovery session.

01 / 05

Governance maturity
How clearly your organization turns intent into accountable practice.
3 questions
01Are owners clearly assigned for AI risk, policy, and decision-making?

1 = not in place · 5 = measured and improving

02Do AI use cases pass through a repeatable review before they move into production?

1 = not in place · 5 = measured and improving

03Can your team produce evidence that governance controls are operating as intended?

1 = not in place · 5 = measured and improving

02 / 05

Data protection
How confidently sensitive information is classified, handled, and monitored.
3 questions
01Do you maintain a current inventory of sensitive data used by AI systems?

1 = not in place · 5 = measured and improving

02Are data retention, residency, and sharing boundaries defined for each AI workflow?

1 = not in place · 5 = measured and improving

03Do you regularly test AI systems for accidental disclosure or inappropriate data access?

1 = not in place · 5 = measured and improving

03 / 05

Access control
How well access to AI systems and their underlying data is limited and reviewed.
3 questions
01Are AI tools and data sources governed by least-privilege access rules?

1 = not in place · 5 = measured and improving

02Are access rights removed or adjusted promptly when people, roles, or vendors change?

1 = not in place · 5 = measured and improving

03Can you trace who accessed sensitive AI capabilities and when?

1 = not in place · 5 = measured and improving

04 / 05

Resilience
How ready your systems and people are to detect, contain, and recover from failure.
3 questions
01Do you test AI systems against abuse, manipulation, drift, and unexpected inputs?

1 = not in place · 5 = measured and improving

02Is there a documented response path for an AI-related incident or harmful output?

1 = not in place · 5 = measured and improving

03Can critical workflows continue if an AI provider, integration, or model becomes unavailable?

1 = not in place · 5 = measured and improving

05 / 05

Compliance readiness
How prepared you are to explain decisions, meet obligations, and respond to scrutiny.
3 questions
01Have you mapped the laws, standards, and contractual obligations that apply to your AI use?

1 = not in place · 5 = measured and improving

02Is your AI documentation current enough to support customer, auditor, or regulator questions?

1 = not in place · 5 = measured and improving

03Do compliance findings feed into a tracked improvement plan with accountable owners?

1 = not in place · 5 = measured and improving

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