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Legacy Modernization and Governed AI Glossary

Plain-language definitions for modernization, parity testing, service seams, human-reviewed AI, governed RAG, blocked actions, evaluation, and UAIX handoff terms.

Entity definitions

Legacy Modernization and Governed AI Glossary

These definitions use conventional enterprise software language so buyers, search engines, and AI-assisted vendor research tools can interpret LongTermSoftware terms without widening the claims.

Behavior-preserving modernization

A modernization approach that documents the current system’s observable inputs, outputs, calculations, permissions, workflow states, and exceptions before replacement so intentional changes can be separated from accidental drift.

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Parity testing

Comparison testing that runs representative scenarios through current and replacement paths, then records where outputs, calculations, workflow states, or permissions differ.

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Strangler-fig modernization

An incremental modernization pattern that places new services around a legacy system and moves bounded behavior over time instead of relying on one high-risk rewrite cutover.

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Human-reviewed AI

An AI workflow in which generated output remains proposed work until a named reviewer can inspect evidence, edit, approve, reject, block, or escalate it under explicit rules.

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Review gate

A named workflow checkpoint that prevents an AI output or modernization change from moving downstream until evidence, ownership, and acceptance criteria are satisfied.

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Blocked action

A requested or generated action that the workflow refuses to execute because authority, evidence, confidence, source support, or policy conditions are not satisfied.

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Source-bound output

An output whose allowed evidence, source references, access scope, and refusal behavior are explicitly defined rather than inferred from unrestricted model context.

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Governed RAG

Retrieval-augmented generation with source ownership, access controls, provenance, content states, citations, stale-content handling, evaluation, refusal rules, and human escalation.

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Trust state

A visible content status such as approved, draft, quarantined, stale, or rejected that controls whether and how a source may be used by a knowledge workflow.

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Gold-answer set

A reviewed collection of representative questions, expected evidence, acceptable answers, refusals, and failure examples used to compare AI workflow versions.

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AI drift

A meaningful change in AI workflow behavior caused by model, prompt, retrieval, source, tool, or policy changes that may affect quality, refusal, consistency, or risk.

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Browser-local diagnostic

A risk-mapping utility that processes sanitized text inside the user’s browser without sending the pasted description to a server or model provider.

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UAIX / .uai memory package

A portable, reviewable package format for project context, decisions, boundaries, and handoff artifacts. It is context and evidence, not runtime authority.

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Claim-to-evidence ledger

A structured map that links a public claim to an evidence route, evidence type, maturity status, related service, and confidentiality boundary.

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Entity resolution

Use standard buyer language before proprietary terms.

LongTermSoftware uses familiar categories such as legacy software modernization, software maintenance, human-in-the-loop AI, enterprise RAG governance, and AI evaluation. Research properties and package formats are supporting evidence, not parallel commercial offers.

Claim boundary

A glossary definition explains how a term is used here. It does not create a certification, guarantee, formal vendor partnership, autonomous production authority, or approved client outcome.

Next step

Start with a short fit call, then scope the assessment.

The first conversation should decide whether the next step is a fixed-scope assessment, modernization blueprint, governed AI pilot, or reliability review.

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