# By AI workflow shape

A cross-cut index. If you shop for patterns by *what your AI feature does* rather than by *which industry you're in*, this is the entry point.

## Retrieval-augmented generation (RAG)

Your AI retrieves source material and synthesizes an answer with citations. Faithfulness against retrieved chunks is the core dimension.

* [Healthcare — clinical decision support](/4.2-industry-use-cases/pattern.md) — guideline retrieval + faithfulness + drug-interaction rules
* [Government — citizen-services chatbot](/4.2-industry-use-cases/pattern-4.md) — versioned policy retrieval + reading-level + multilingual parity
* [Legal — AI research citation verification](/4.2-industry-use-cases/pattern-2.md) — case-law retrieval + citation-existence + holding-accuracy
* [Manufacturing — visual quality inspection](/4.2-industry-use-cases/pattern-7.md) (uses retrieval over manuals when paired with technician guidance)

## Multi-step agents

Your AI plans, calls tools, and decides when it's done. Pre- and post-deployment agentic evaluation with deterministic span-level rules is the right shape.

* [Insurance — claims-triage agent](/4.2-industry-use-cases/pattern-3.md) — span-level escalation rule + assertions + tone judge
* [Healthcare — clinical decision support](/4.2-industry-use-cases/pattern.md) — also fits if the assistant calls drug-interaction databases as tools

## Classification and detection

Your AI classifies content into categories or detects targets in inputs. Per-class precision/recall, confusion-matrix tracking, and per-segment fairness are the dimensions.

* [Media — content moderation](/4.2-industry-use-cases/pattern-6.md) — per-category recall + cross-language parity
* [Manufacturing — visual quality inspection](/4.2-industry-use-cases/pattern-7.md) — per-defect-class accuracy + condition-stratified disparity
* [Energy — vegetation-management imagery](/4.2-industry-use-cases/pattern-11.md) — hazard-class accuracy + season-stratified disparity
* [Financial services — fair-lending platform](/4.2-industry-use-cases/pattern-1.md) — false-positive disparity across protected-class proxies

## Content generation

Your AI generates user- or customer-facing copy, descriptions, summaries. Specification accuracy, brand voice, and uniqueness are the dimensions.

* [Retail — product description generation](/4.2-industry-use-cases/pattern-5.md) — specification accuracy + brand voice + uniqueness
* [Travel — multilingual booking assistant](/4.2-industry-use-cases/pattern-12.md) — booking-detail accuracy + cultural fit per locale

## Conversational with policy gates

Your AI handles a multi-turn customer interaction with strict policy or pricing rules. Citation, exact-match, and continuous trace eval are the dimensions.

* [Telecom — customer-service pricing accuracy](/4.2-industry-use-cases/pattern-10.md) — JSON-schema pricing citation + numeric exact-match
* [Education — AI tutor](/4.2-industry-use-cases/pattern-8.md) — Socratic vs. answer-giving + age-appropriateness
* [Government — citizen-services chatbot](/4.2-industry-use-cases/pattern-4.md) — also fits

## Multimodal (image / video / audio)

Your AI processes non-text inputs. Per-modality scorers paired with text-output judges.

* [Manufacturing — visual quality inspection](/4.2-industry-use-cases/pattern-7.md) — image classification under varied lighting
* [Energy — vegetation-management imagery](/4.2-industry-use-cases/pattern-11.md) — drone imagery, season-stratified
* [Real estate — automated property valuation](/4.2-industry-use-cases/pattern-9.md) — listing photos + comparable sales

## Where to next

* [All 13 patterns by industry](/4.2-industry-use-cases/industry.md)
* [Industries](/4.2-industry-use-cases/industry.md) — full per-vertical depth
* [Use cases](/4.1-general-use-cases/general.md) — by AI workflow shape (broader framing)
* [Workflow](/1.-introduction/the-stratix-workflow.md) — the 6-stage spine


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