> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/4.2-industry-use-cases.md).

# 4.2 Industry use cases

- [Industry solutions](https://docs.layerlens.ai/4.2-industry-use-cases/industry.md): Stratix industry solutions — 13 verticals with scenarios, eval patterns, compliance, and runnable samples.
- [By AI workflow shape](https://docs.layerlens.ai/4.2-industry-use-cases/by-workflow-shape.md): Industry patterns indexed by AI workflow shape — RAG, agent, classification, generation, multimodal.
- [Healthcare](https://docs.layerlens.ai/4.2-industry-use-cases/healthcare.md): Healthcare AI evaluation on Stratix — clinical Q\&A, triage, medical document analysis.
- [Pattern: clinical decision support](https://docs.layerlens.ai/4.2-industry-use-cases/pattern.md): Healthcare — clinical decision support pattern. Faithfulness, drug-interaction safety, reasoning soundness, audit-ready evidence.
- [Financial services](https://docs.layerlens.ai/4.2-industry-use-cases/financial-services.md): Financial services AI evaluation — fraud detection, advisor chatbots, KYC.
- [Pattern: fair-lending platform](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-1.md): Financial services — fair-lending platform pattern. Bias scorer shared across product teams, variant comparison, continuous monitoring.
- [Pattern: AI research citation verification](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-2.md): Legal — AI research citation verification pattern. Citation-existence scorer, holding-accuracy judge, per-session block on unverified output.
- [Insurance](https://docs.layerlens.ai/4.2-industry-use-cases/insurance.md): Insurance AI evaluation — claims triage, policy Q\&A, underwriting assistance.
- [Pattern: claims-triage agent](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-3.md): Insurance — claims-triage agent pattern. Span-level escalation rule, assertions, GEPA-tuned tone judge, in one agentic evaluation.
- [Government and public sector](https://docs.layerlens.ai/4.2-industry-use-cases/government-public-sector.md): Government and public sector AI evaluation — citizen services, document processing, eligibility.
- [Pattern: citizen-services chatbot](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-4.md): Government / public sector — citizen-services chatbot pattern. Policy accuracy against versioned source-of-truth, plain-language reading-level, multilingual parity.
- [Retail and e-commerce](https://docs.layerlens.ai/4.2-industry-use-cases/retail-ecommerce.md): Retail and e-commerce AI evaluation — product Q\&A, customer support, recommendations.
- [Pattern: product description generation](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-5.md): Retail / e-commerce — product-description generation pattern. Specification accuracy, brand voice, return-rate impact.
- [Media and entertainment](https://docs.layerlens.ai/4.2-industry-use-cases/media-entertainment.md): Media and entertainment AI evaluation — moderation, summarization, search.
- [Pattern: content moderation](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-6.md): Media / entertainment — content moderation pattern. Per-category recall, cross-language parity, EU DSA exposure management.
- [Manufacturing](https://docs.layerlens.ai/4.2-industry-use-cases/manufacturing.md): Manufacturing AI evaluation — diagnostics assistance, manuals Q\&A, quality.
- [Pattern: visual quality inspection](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-7.md): Manufacturing / industrial — visual quality-inspection pattern. Per-defect-class accuracy, lighting-robustness, latency under SLO.
- [Education](https://docs.layerlens.ai/4.2-industry-use-cases/education.md): Education AI evaluation — tutoring, content generation, assessment.
- [Pattern: AI tutor](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-8.md): Education / EdTech — AI tutor pattern. Pedagogical-quality (Socratic vs. answer-giving), age-appropriateness, learning-outcome correlation.
- [Real estate](https://docs.layerlens.ai/4.2-industry-use-cases/real-estate.md): Real estate AI evaluation — listing Q\&A, valuation assist, document search.
- [Pattern: automated property valuation](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-9.md): Real estate / proptech — automated valuation pattern. Per-segment accuracy, fair-housing parity, image-condition assessment.
- [Telecommunications](https://docs.layerlens.ai/4.2-industry-use-cases/telecommunications.md): Telecommunications AI evaluation — customer service, troubleshooting, plan Q\&A.
- [Pattern: customer-service pricing accuracy](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-10.md): Telecom — customer-service AI pricing-accuracy pattern. JSON-schema scorer, numeric exact-match, per-PR CI gating, continuous sampled trace eval.
- [Energy and utilities](https://docs.layerlens.ai/4.2-industry-use-cases/energy-utilities.md): Energy and utilities AI evaluation — field service, ops assistance, customer support.
- [Pattern: vegetation-management imagery](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-11.md): Energy / utilities — vegetation-management imagery pattern. Stratified accuracy by season, variant comparison, daily continuous evaluation in fire season.
- [Travel and hospitality](https://docs.layerlens.ai/4.2-industry-use-cases/travel-hospitality.md): Travel and hospitality AI evaluation — booking assist, itinerary, customer service.
- [Pattern: multilingual booking assistant](https://docs.layerlens.ai/4.2-industry-use-cases/pattern-12.md): Travel / hospitality — multilingual booking-assistant pattern. Per-language booking-detail accuracy, cultural appropriateness, locale-aware date handling.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.layerlens.ai/4.2-industry-use-cases.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
