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AI-Readiness Assessment

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Question 1: Data quality

How confident are you in the quality and consistency of the data an AI agent would access?

Very confident | Critical data is routinely validated, standardized, and corrected.

Mostly confident | Our data is generally reliable, with a few known gaps.

Somewhat confident | Quality varies between systems, departments, or datasets.

Not confident | Duplicate, incomplete, obsolete, or inconsistent records are common.

I’m not sure | We do not currently measure or monitor data quality consistently.

Question 2: Security and access

Could your organization control exactly what data an AI agent and each user are permitted to access?

Yes, consistently | Access is role-based, limited, documented, and reviewed.

Mostly | Controls are in place, but some permissions need review.

Partially | Access varies by application, database, or team.

No | Permissions are broad, shared, outdated, or poorly documented.

I’m not sure | We have not evaluated our access controls for AI use.

Question 3: Backup and recovery

If an AI process caused incorrect changes, deleted data, or exposed a database problem, how prepared would you be to recover?

Highly prepared | Backups are monitored and restore procedures are tested regularly.

Generally prepared | Backups are monitored, but restore testing is not always current.

Somewhat prepared | Backups exist, but recovery procedures are inconsistent or undocumented.

Not prepared | Backups or recovery procedures are incomplete, untested, or unreliable.

I’m not sure | I cannot confirm when our databases were last restored successfully.

Question 4: Performance and scalability

If an AI process caused incorrect changes, deleted data, or exposed a database problem, how prepared would you be to recover?

Yes | Performance is monitored against established baselines, and additional workloads can be scaled or isolated.

Mostly | Performance is stable, but AI-related workload testing is still needed.

Partially | We experience occasional slow queries, capacity issues, or resource constraints.

No | Performance problems already affect users or critical applications.

I’m not sure | We do not have a current database performance baseline.

Question 5: Monitoring and ownership

Who is responsible for keeping the database environment healthy as AI access expands?

A named team with documented processes | Database health, security, maintenance, and AI access have clear ownership.

A named person or team | Ownership is clear, but processes are not fully documented.

Responsibility is shared | Several people help, but no one has complete accountability.

No one is clearly responsible | Issues are generally handled when they arise.

I’m not sure

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