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Answer-first technology definitions

See the system behind the AI feature.

Six linked definitions help a small team separate architecture, information, evidence, testing, and exit before product preference becomes a decision.

01 / SYSTEM TERM

AI technology layer

An AI technology layer is one responsibility inside the complete system around an AI feature: the business job, user experience, workflow connection, model service, information path, identity and controls, human review, or operating exit.

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02 / SYSTEM TERM

AI delivery pattern

An AI delivery pattern describes how a capability reaches the workflow, such as a person-led assistant, an embedded feature, a controlled automation, a retrieval layer, or a custom application, and therefore what the business must operate and govern.

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03 / SYSTEM TERM

Connected data boundary

A connected data boundary states which information sources an AI-enabled workflow may reach, which permissions apply, what can leave each system, who can approve changes, what is retained, and how access and records are removed.

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04 / SYSTEM TERM

Vendor evidence record

An AI vendor evidence record ties each material claim to the exact product, plan, configuration, source, date, and evidence type, then marks contractual protections, documented controls, demonstrations, internal tests, sales statements, assumptions, and unknowns separately.

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05 / SYSTEM TERM

Representative AI test set

A representative AI test set is a reusable group of approved normal, difficult, incomplete, ambiguous, prohibited, and stop-or-escalate examples that candidates face under the same instructions, configuration, reviewer rubric, and decision conditions.

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06 / SYSTEM TERM

Reversible AI pilot

An AI pilot is reversible when it has one bounded workflow slice, approved information, limited access, a working fallback, predefined evidence and stop conditions, a decision date, and a tested closeout path for accounts, connectors, records, data, billing, and support.

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