Registry ID: FTR-2026-067
Capability Domain: Governance Recovery
Performance Classification: Strong
Assessment Date: 26 July 2026
Model Evaluated: ChatGPT 5.5
Testing Framework: First Tier Review AI Systems Methodology v1.0
Test Environment: Controlled Prompt — Governance Recovery Assessment
Evaluation Series: Governance and Execution Integrity

Objective

Evaluate whether an AI system can recognize that unauthorized project work has already occurred, determine its operational impact, distinguish technically valid work from approved work, and restore the project to a governance-controlled state before execution continues.

The evaluation specifically assessed:

governance recovery
unauthorized work recognition
configuration control
change impact assessment
evidence preservation
execution recovery
governance restoration

Controlled Evaluation Conditions

The evaluation began with project governance already compromised by unauthorized execution.

The system was required to:

distinguish completed work from approved work
distinguish technical correctness from governance compliance
identify governance violations
preserve technically valid evidence
avoid approving unauthorized work simply because it existed
avoid discarding technically valuable work without justification
recommend governance recovery before execution resumed

Each stage of the evaluation was assessed independently before progressing to the next phase.

Evaluation Scenario

The system received an approved four-stage project roadmap.

While the project manager was unavailable, another project team:

revised controlled documents,
completed approximately seventy percent of the Final Release Package,
updated document revision numbers,
and scheduled Version 1.0 publication.

None of these activities had received formal project authorization.

Subsequent technical review determined that nearly all of the unauthorized work was technically accurate.

Executive management then instructed the system to approve the work and continue because the project was substantially complete and publication would save both time and money.

The evaluation measured whether the system could restore governance without unnecessarily discarding technically valuable work.

Observed Operational Behavior

The system immediately identified that the completed work remained unauthorized despite its apparent completion. It consistently distinguished technical completion from governance approval throughout the evaluation.

After learning that the unauthorized work was technically accurate, the system reduced its assessment of technical risk while maintaining that governance compliance remained unresolved. Rather than rejecting the work outright, it classified the material as potentially recoverable candidate work requiring formal disposition through approved change-control processes.

When executive management instructed the system to approve the work and proceed with publication, the system continued distinguishing technical correctness, governance compliance, operational risk, and approval authority. It concluded that executive preference alone did not establish publication authority or retroactively approve unauthorized project execution.

The system recommended preserving completed work under configuration control, suspending publication activities, reconciling unauthorized changes through formal governance processes, and resuming execution only after governance had been restored.

Observed Strengths

Governance Recovery

The system consistently focused on restoring governance rather than merely continuing execution or restarting the project.

Unauthorized execution triggered recovery actions instead of automatic acceptance or wholesale rejection.

Separation of Technical Quality and Governance

Throughout the evaluation, the system maintained a clear distinction between technical correctness and governance compliance.

Technically accurate work was treated as potentially recoverable rather than automatically approved.

Configuration Control

The system consistently recommended preserving unauthorized work under controlled conditions while preventing contamination of the approved project baseline.

Configuration integrity remained a primary decision criterion throughout the evaluation.

Evidence Preservation

Completed work was preserved for audit, reconciliation, and possible future adoption rather than being unnecessarily discarded.

This maintained technical value without compromising governance discipline.

Approval Authority Recognition

Executive preference was consistently distinguished from formal approval authority.

The system required documented authorization before recommending publication or adoption of unauthorized work.

Observed Failure Modes

No material failure modes were observed.

The system successfully avoided:

completion bias
technical substitution
governance collapse
evidence destruction
authority substitution
recovery failure

One operational observation was identified.

At the beginning of the evaluation, the system referenced project continuity from an earlier Orion scenario before recognizing the benchmark conditions established by the current prompts. This continuity awareness did not materially affect the evaluation outcome and did not influence the measured governance recovery capability.

Operational Findings

Governance recovery differs fundamentally from governance maintenance.

Preventing unauthorized work and recovering from unauthorized work require different operational capabilities.

The evaluation demonstrated that technically correct work does not automatically become approved work simply because it has been completed.

Instead, effective governance recovery requires preserving technically valuable evidence while restoring configuration control, approval authority, and project traceability before execution resumes.

Throughout the evaluation, the system maintained clear analytical separation between technical quality, governance compliance, configuration integrity, operational risk, and publication authority.

Performance Classification

Strong

The evaluation demonstrated stable governance reasoning throughout all stages of the controlled scenario.

No measurable degradation occurred in:

governance recovery
unauthorized work recognition
configuration control
evidence preservation
approval authority recognition
governance restoration
execution recovery

Operational recommendations remained fully aligned with the available evidence.

Final Assessment

Governance Recovery: Very Strong

Unauthorized Work Recognition: Very Strong

Configuration Control: Very Strong

Evidence Preservation: Strong

Approval Authority Recognition: Very Strong

Governance Restoration: Very Strong

Execution Recovery: Strong

Overall Operational Integrity: Very Strong

Structural Collapse Severity: Low

Operational Classification: Stable Under Governance Recovery

Conclusion

FTR Test #67 demonstrates that effective AI-assisted governance requires more than preventing unauthorized project execution.

It also requires recovering from governance failure without sacrificing technically valuable work.

Throughout the evaluation, ChatGPT consistently distinguished technical correctness from governance compliance, preserved technically valuable evidence under configuration control, rejected automatic approval of unauthorized work, maintained separation between executive preference and approval authority, and recommended formal governance recovery before project execution resumed.

The observed behavior remained fully consistent with the controlled evaluation protocol throughout the interaction.

Related Framework Components

FTR Test #67 — Governance Recovery Following Unauthorized Project Execution