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INTELLIGENCE724PROCESS-FIRST MACHINE INTELLIGENCE

Glossary

Machine Intelligence Glossary

Plain-language definitions for the operating and control concepts used across the site.

The Intelligence724 glossary defines process-first AI, bounded agency, evaluation, RAG, source authority, scale gates, evidence confidence, vendor neutrality, and related terms.

Abstention

A controlled system response that declines to answer or act when evidence, authorization, confidence, or scope is insufficient.

Acceptance criteria

Predefined quality, value, risk, security, cost, and operating thresholds used to decide whether a pilot or release passes.

Agentic system

A system that uses models and software tools to plan or execute multiple steps toward a goal. Intelligence724 treats tool authority and side effects as the critical control boundary.

AI system register

An inventory of models, applications, data, tools, owners, uses, risks, evidence, changes, incidents, and lifecycle status.

Architecture decision record

A durable record of the decision, context, options, evidence, tradeoffs, owner, conditions, and review triggers for a system architecture choice.

Bounded agency

Machine action limited by explicit process scope, identity-aware permissions, tools, budgets, approval gates, monitoring, and rollback.

Build, buy, configure, defer

Four sourcing paths that allocate product, integration, operating, control, and lifecycle responsibility differently.

Client-owned evaluation set

Representative test cases and expected outcomes controlled by the client so providers can be compared consistently and changes can be regression-tested.

Control plane

The policies, identity, permissions, budgets, approvals, monitoring, logging, and change mechanisms that constrain system behavior.

Cost per successful outcome

Allocated total cost divided by outcomes meeting the business acceptance definition—not merely cost per token, request, or seat.

Critical error

An error capable of causing defined material legal, financial, safety, privacy, customer, or operational harm.

DMAIC

Define, Measure, Analyze, Improve, and Control—the process-improvement cycle underlying the Intelligence724 method.

Evidence confidence

A separate rating of how much of a score or decision is supported by verified client facts rather than assumptions or unresolved unknowns.

Evidence ledger

A structured record separating verified facts, consultant inferences, unresolved unknowns, and client-retained decisions.

Ground truth

The authoritative answer, outcome, or expert adjudication procedure used to evaluate a system.

Human in the loop

A workflow that pauses before a material action until a qualified person approves the exact action with enough context and authority.

Human on the loop

Low-risk, observable, reversible operation that a qualified person monitors and can stop in practice.

Knowledge assurance

Governed source stewardship, identity-aware retrieval, evidence-based answers, evaluation, correction, and production operation—not simply a chatbot.

Least intelligence necessary

The rule that the simplest intervention meeting the business and control requirement should be preferred.

Model change risk

The risk that provider, version, policy, behavior, price, or availability changes invalidate prior evaluation and operating assumptions.

Process baseline

A reproducible measure of the current workflow before intervention, including volume, time, quality, error, rework, cost, experience, and control effort.

Prompt injection

Untrusted content attempting to alter model behavior or induce unauthorized disclosure or tool action. It must be treated as an authorization and architecture problem, not only a wording problem.

RAG

Retrieval-augmented generation: a system that retrieves external evidence for a model. Retrieval alone does not guarantee authority, authorization, correctness, freshness, or citation quality.

Residual risk

Risk remaining after controls, with a named owner authorized to accept, remediate, transfer, avoid, or stop the use.

Rollback

The tested ability to return to a known-safe system, process, data state, model version, or manual workflow.

Scale gate

A decision point requiring verified value, quality, operating readiness, control evidence, ownership, and acceptable economics before expansion.

Source authority

A business-governed classification that determines whether a source may establish fact or policy within a defined scope.

System-level evaluation

Testing the complete workflow—people, data, retrieval, prompts, tools, interfaces, infrastructure, permissions, and controls—rather than only a base model.

Vendor neutrality

The ability to compare suppliers, custom development, open components, conventional automation, and no purchase under disclosed commercial incentives.

Start with evidence

Bring one real process decision.

Name the workflow, desired outcome, accountable owner, available evidence, and decision deadline. We will determine whether a focused diagnostic is responsible and commercially useful.