Parallel Reviews Never Agree

Parallel AI, human, workflow, or tool reviews keep producing different results without resolving into a shared decision state.

What This Looks Like

Two or more review paths evaluate the same case and keep producing different results. The reviews may come from AI runs, human reviewers, tools, rubrics, workflow stages, or combinations of them. Each review may appear valid on its own, but the process never resolves into a shared decision.

Why It Matters

Parallel review is useful only if disagreement can be resolved. When reviews never agree, the workflow can stall, loop, or escalate repeatedly. Users may spend more effort reconciling review results than improving the underlying work.

Structural Signal

Multiple review states are produced under comparable authority, but the workflow lacks a convergence rule. The issue is not only that reviewers disagree; it is that disagreement does not resolve into an authoritative state.

Common Triggers

Parallel reviewers use different criteria
Review rubrics do not define tie-breakers
The workflow treats each review as equally authoritative
The AI produces different evaluations across comparable runs
Human and automated review results are not reconciled
Escalation rules send disagreement back into another parallel review

When to Use This Issue

Use this Issue when parallel reviews keep producing incompatible results and the workflow does not converge on a final decision.

When Not to Use This Issue

Do not use this Issue when a clear owner or tie-breaker resolves the disagreement. Do not use it for one isolated review conflict that does not create a loop or unresolved state.

Primary Pattern

PAT-0320 — Convergence Failure

Declared Patterns

PAT-0320 — Convergence Failure
A structural condition where sequential or parallel states fail to resolve into an equivalent or coherent structure under shared authority and constraints.
PAT-0290 — Divergent Outputs
A structural condition where parallel evaluations under comparable scope and shared authority produce non-equivalent outputs.
PAT-0100 — Authority Collision
A structural condition where multiple authorities claim governance over the same region without a declared precedence or resolution rule.

Derived Primary Lenses

LEN-0110 — Authority Overlay Lens
Maps declared authority hierarchies onto observed structure to detect absence, override, or conflict.
LEN-0150 — Conflict Lens
Detects mutually incompatible constraints, claims, states, or declarations that cannot be simultaneously satisfied.
LEN-0170 — Convergence Lens
Compares parallel structural systems to determine whether they align under shared authority.
LEN-0290 — Variance / Entropy Lens
Measures structural variability across repeated or comparable evaluations and identifies divergence beyond expected bounds.

Derived Secondary Lenses

LEN-0140 — Compression Lens
Reduces structural graphs into stable minimal representations for comparison, redundancy detection, and diffing.
LEN-0180 — Determinism Lens
Evaluates whether identical structural inputs produce equivalent structural outputs across repeated executions.
LEN-0210 — Invariant Lens
Verifies that declared invariants are structurally enforceable and not contradicted by observed structure.
LEN-0270 — Reconciliation Lens
Evaluates whether structural changes align with declared authority updates, version changes, or reconciliation rules.

Search Intents

parallel reviews never agree
AI reviews do not converge
reviewers keep disagreeing
parallel review results conflict
multiple reviews never resolve
AI review loop disagreement

Ontology Metadata

Code: ISS-0083
Version: ISS-0083@0.1.0
Ontology release: 0.1.0
Updated: 2026-05-10T00:00:00Z

History

No public history entries recorded.

View full ontology changelog