docs(ms-ai-architect): KB-refresh tema-b — Foundry-navnesveip «Azure AI Foundry»→«Microsoft Foundry» (233 filer)

Verifisert mot offisiell MS-doc (juni 2026): «Microsoft Foundry» er det
gjeldende produkt-/portalnavnet; «Foundry (classic)» = gamle «Azure AI Foundry»
(/azure/foundry/ vs /azure/foundry-classic/). Premiss bekreftet før sveip.

Multi-regel, IKKE naiv s/Azure AI Foundry/Microsoft Foundry/ — MS dropper
«Azure AI» (legger IKKE til «Microsoft») for to produktvarianter:
- «Azure AI Foundry Agent[ Service|s]» → «Foundry Agent Service/Agents» (MS-form)
- «Azure AI Foundry Models» → «Foundry Models» (i «Azure OpenAI in Foundry Models»)
- «Azure AI Foundry SDK» → «Microsoft Foundry SDK» (operatør-valg)
- «Azure AI Foundry portal/project» + generisk → «Microsoft Foundry»
- Pre-eksisterende «Microsoft Foundry Models» (4) normalisert → «Foundry Models»

Bevart: «Azure OpenAI», «Azure AI Inference SDK», «Azure AI Search»,
«Azure AI Services», kode-IDer. Historisk ref «(tidligere Azure AI Foundry)»
i model-catalog-2026.md beskyttet via lookbehind. URL /azure/ai-foundry/→
/azure/foundry/ kun i owasp-llm-top10 (KB-ref); docs/-filer deferred.

Scope: skills (inkl. 3 SKILL.md) + commands + agents + README + CLAUDE.
Ekskludert: docs/ (interne), playground/+tests/ fixtures (testdata),
CHANGELOG.md (historisk logg), STATE.md (gitignored).

3 SKILL.md endret (advisor/engineering/security) → judge-cache teknisk
invalidert for disse, men scorer uendret: advisor 91, eng/gov/infra/sec 96
(alle ≥90). validate 239/0. 0 «Azure AI Foundry» igjen (utenom bevart ref).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

skills/ms-ai-advisor/references/architecture/poc-template.md

@@ -4,7 +4,7 @@
 
 ---
 
-Dette dokumentet tilbyr en strukturert mal for å planlegge, gjennomføre og evaluere Proof of Concept (POC) prosjekter for Microsoft AI-løsninger. Malen er tilpasset Azure AI Foundry, Copilot Studio, Power Platform AI, og andre Microsoft AI-plattformer.
+Dette dokumentet tilbyr en strukturert mal for å planlegge, gjennomføre og evaluere Proof of Concept (POC) prosjekter for Microsoft AI-løsninger. Malen er tilpasset Microsoft Foundry, Copilot Studio, Power Platform AI, og andre Microsoft AI-plattformer.
 
 ## Innhold
 
@@ -80,7 +80,7 @@ _[Velg én eller flere:]_
 
 - [ ] **Microsoft 365 Copilot** (extensions/agents)
 - [ ] **Copilot Studio** (custom agents)
-- [ ] **Azure AI Foundry** (custom gen AI apps)
+- [ ] **Microsoft Foundry** (custom gen AI apps)
 - [ ] **Power Platform AI** (AI Builder, Power Automate AI)
 - [ ] **Azure Machine Learning** (custom ML models)
 - [ ] **Analytical AI** (Content Safety, Document Intelligence, Custom Vision)
@@ -248,7 +248,7 @@ Definer spesifikke, målbare kriterier for POC-suksess. Se [Success Criteria Fra
 - [ ] **Explainability:** Validate that model decisions are understandable
 
 **Tools:**
-- Azure AI Foundry evaluation tools
+- Microsoft Foundry evaluation tools
 - Azure AI Content Safety
 - Responsible AI Dashboard (Azure ML)
 
@@ -307,9 +307,9 @@ Ved slutten av POC, evaluer mot disse kriteriene:
 
 | Metric | Definition | Target Range | Measurement Method |
 |--------|------------|--------------|-------------------|
-| **Groundedness** | % of responses supported by source data | >85% | Azure AI Foundry evaluation |
-| **Relevance** | % of responses relevant to user query | >80% | Azure AI Foundry evaluation |
-| **Fluency** | % of responses that are coherent and grammatical | >90% | Azure AI Foundry evaluation |
+| **Groundedness** | % of responses supported by source data | >85% | Microsoft Foundry evaluation |
+| **Relevance** | % of responses relevant to user query | >80% | Microsoft Foundry evaluation |
+| **Fluency** | % of responses that are coherent and grammatical | >90% | Microsoft Foundry evaluation |
 | **Content Safety** | % of harmful content blocked | 100% | Azure AI Content Safety |
 | **Response Time** | Average latency (seconds) | <3s (p95) | Application Insights |
 | **Throughput** | Requests per second handled | >100 rps | Load testing |
@@ -430,7 +430,7 @@ Bruk denne matrisen for å score POC-resultater:
 
 ---
 
-### Azure AI Foundry POC Checklist
+### Microsoft Foundry POC Checklist
 
 **Pre-Development:**
 - [ ] Select foundation model (GPT-4o, GPT-4, custom)
@@ -447,7 +447,7 @@ Bruk denne matrisen for å score POC-resultater:
 - [ ] Deploy to pre-production endpoint
 
 **Evaluation:**
-- [ ] Run Azure AI Foundry evaluation suite (groundedness, relevance, fluency)
+- [ ] Run Microsoft Foundry evaluation suite (groundedness, relevance, fluency)
 - [ ] Test adversarial prompts (jailbreak attempts)
 - [ ] Measure latency and throughput
 - [ ] Validate cost per request
@@ -582,7 +582,7 @@ Bruk denne matrisen for å score POC-resultater:
 
 ### 2-Week Standard POC
 
-**Anbefalt for:** Moderate complexity (Azure AI Foundry RAG, Copilot Studio med custom topics)
+**Anbefalt for:** Moderate complexity (Microsoft Foundry RAG, Copilot Studio med custom topics)
 
 | Week | Activities | Deliverables |
 |------|------------|--------------|
@@ -925,11 +925,11 @@ Legg til ekstra tid hvis:
 ### Microsoft Documentation
 - [AI Adoption Framework (CAF)](https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/ai/)
 - [Copilot Studio Implementation Guidance](https://learn.microsoft.com/microsoft-copilot-studio/guidance/overview)
-- [Azure AI Foundry Evaluation](https://learn.microsoft.com/azure/foundry/how-to/evaluate-generative-ai-app)
+- [Microsoft Foundry Evaluation](https://learn.microsoft.com/azure/foundry/how-to/evaluate-generative-ai-app)
 - [Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai)
 
 ### Tools
-- **Azure AI Foundry:** Model evaluation, deployment
+- **Microsoft Foundry:** Model evaluation, deployment
 - **Copilot Studio:** Agent development, testing
 - **Azure AI Content Safety:** Content moderation
 - **Responsible AI Dashboard:** Fairness, bias detection (Azure ML)