CAL™ - The Correction & Assurance Ledger

A Governance Control for AI-Generated Risk

AI systems increasingly generate narratives about organisations that are relied upon in real-world decisions - yet those narratives are non-deterministic, opaque, and outside organisational control.

When inaccurate or misleading AI outputs are discovered, organisations face a critical question:

Can we evidence what was said, when it was said, and how we responded?

The Correction & Assurance Ledger (CAL™) exists to answer that question.

CAL™ is a core control within the AIVO Standard, designed to provide defensible proof of awareness, response, and diligence when AI-generated risk is identified.

The Problem CAL™ Solves

Most organisations encounter AI-generated issues after reliance has already occurred, for example:

• A regulator references an AI-generated claim
• A customer cites an AI answer that contradicts official disclosures
• A procurement decision is influenced by an AI risk assessment
• A journalist or analyst repeats an AI-generated narrative

At that point, the organisation often cannot evidence:

• what the AI system said at the time
• whether the issue was detectable
• when it first appeared
• how consistently it appeared
• or what corrective steps were taken

This creates evidentiary gaps that increase legal, regulatory, and reputational exposure.

CAL™ closes those gaps.

What the Correction & Assurance Ledger Is

CAL™ is an immutable, versioned governance ledger that records:

• Identified AI-generated inaccuracies or misleading narratives
• The exact claims made (with timestamps and provenance)
• Supporting evidence from controlled AI testing
• Corrective statements, authoritative references, or clarifications
• Subsequent changes, persistence, or resolution over time

It functions as a formal record of organisational response to AI-generated risk.

What CAL™ Is Not

• PR monitoring
• social listening
• brand sentiment analysis
• content optimisation
• AI "training" or prompt tuning

It does not attempt to control AI systems.

It evidences how the organisation governed risk once it was identified.

How CAL™ Works (High-Level)

1. Risk Identification

Through AIVO-controlled, time-stamped testing, AI outputs are examined for:

• factual inaccuracies
• unsupported governance claims
• misleading comparisons
• unstable or drifting narratives

2. Claim-Level Capture

Discrete claims are extracted and fingerprinted using Reasoning Claim Tokens (RCTs), preserving:

• exact wording
• model source
• date and time
• replication context

This establishes what was said, by which system, and when.

3. Ledger Entry Creation

When a claim is determined to present material risk, it is logged in CAL™ with:

• supporting evidence
• severity context
• affected decision domains (legal, regulatory, procurement, consumer)

4. Correction & Assurance Record

Where appropriate, CAL™ records:

• authoritative corrective statements
• references to official disclosures, filings, or policies
• internal determinations or clarifications

Importantly, CAL™ does not overwrite history - it appends assurance through versioning.

5. Ongoing Tracking

Subsequent testing records whether the AI narrative:

• persists
• mutates
• disappears
• or re-emerges

This creates a

.

Why CAL™ Matters to Legal & Risk Teams

For General Counsel, CAL™ supports:

• defensible timelines
• evidence of reasonable diligence
• reduced attribution ambiguity
• clearer reliance analysiss

For Chief Risk Officers, it enables:

• formal risk recognition
• severity normalisation
• governance documentation
• board-level reporting

For Corporate Affairs & Communications, it provides:

• alignment with official positions
• evidence-based correction strategies
• protection against narrative drift

For Regulators and Auditors, it demonstrates:

• proactive monitoring
• structured response
• documented governance controls

CAL™ as a Governance Control

CAL™ operates alongside existing controls such as:

• disclosure committees
• risk registers
• audit logs
• incident response frameworks

It extends those controls into AI-mediated information environments, where traditional governance tools do not reach.

A Note on Liability and Timing

In disputes, investigations, or regulatory reviews, timing matters.

CAL™ is designed to help answer:

"What could the organisation reasonably have known at the time?"

By preserving evidence of:

• detection
• evaluation
• and response

CAL™ helps demonstrate good-faith governance, even when AI systems behave unpredictably.

The Bottom Line

AI-generated narratives cannot be fully controlled.

But organisational response can be governed, evidenced, and defended.

The Correction & Assurance Ledger (CAL™) ensures that when AI-generated risk arises, your organisation can prove it:

• identified the issue
• understood its implications
• and acted responsibly

That is the standard regulators, courts, and boards increasingly expect.

Request a Governance Briefing

A confidential discussion focused on AI-generated risk, evidentiary gaps, and assurance readiness.