diff --git a/app/api/cortex/classify/route.ts b/app/api/cortex/classify/route.ts
new file mode 100644
index 0000000..18dcae8
--- /dev/null
+++ b/app/api/cortex/classify/route.ts
@@ -0,0 +1,272 @@
+import { NextRequest, NextResponse } from 'next/server';
+import { z } from 'zod';
+import { createClient } from '@/lib/auth/server';
+import { classifyWithReflex } from '@/lib/cortex/reflex-classifier';
+import {
+  classifyWithOrchestrator,
+  buildFallbackChain,
+  buildChainFromReflex,
+} from '@/lib/cortex/orchestrator';
+import { isFeatureEnabled } from '@/lib/config/feature-flags';
+import type {
+  CortexContext,
+  CortexIntent,
+  IntentChain,
+  LocalClassificationResult,
+} from '@/lib/cortex/types';
+
+/**
+ * Cortex Classify API (E2.S5)
+ *
+ * POST /api/cortex/classify
+ *
+ * Hybrid classification endpoint:
+ * 1. Tries Reflex Arc (Layer 1) first - fast, local pattern matching
+ * 2. Escalates to Orchestrator (Layer 2) if needed - AI-powered classification
+ * 3. Falls back to Reflex result if AI fails
+ */
+
+// =============================================================================
+// Request/Response Schemas
+// =============================================================================
+
+/** Schema for request validation */
+const ClassifyRequestSchema = z.object({
+  input: z
+    .string()
+    .min(1, 'Input mag niet leeg zijn')
+    .max(500, 'Input mag maximaal 500 karakters zijn'),
+  context: z.object({
+    activePatient: z
+      .object({
+        id: z.string(),
+        name: z.string(),
+        recentNotes: z.array(z.string()).optional(),
+        upcomingAppointments: z
+          .array(
+            z.object({
+              date: z.string().transform((s) => new Date(s)),
+              type: z.string(),
+            })
+          )
+          .optional(),
+      })
+      .nullable(),
+    currentView: z.enum([
+      'dashboard',
+      'patient-detail',
+      'agenda',
+      'reports',
+      'chat',
+    ]),
+    shift: z.enum(['nacht', 'ochtend', 'middag', 'avond']),
+    currentTime: z.string().transform((s) => new Date(s)),
+    agendaToday: z.array(
+      z.object({
+        time: z.string(),
+        patientName: z.string(),
+        patientId: z.string(),
+        type: z.string(),
+      })
+    ),
+    recentIntents: z.array(
+      z.object({
+        intent: z.string(),
+        patientName: z.string().optional(),
+        timestamp: z.string().transform((s) => new Date(s)),
+      })
+    ),
+  }),
+  options: z
+    .object({
+      forceAI: z.boolean().optional(),
+      skipLogging: z.boolean().optional(),
+    })
+    .optional(),
+});
+
+/** Response type for classify endpoint */
+export interface ClassifyResponse {
+  chain: IntentChain;
+  handledBy: 'reflex' | 'orchestrator';
+  needsClarification?: boolean;
+  clarificationQuestion?: string;
+  clarificationOptions?: string[];
+  debug?: {
+    reflexResult?: LocalClassificationResult;
+    processingTimeMs: number;
+    tokensUsed?: number;
+  };
+}
+
+// =============================================================================
+// POST Handler
+// =============================================================================
+
+export async function POST(request: NextRequest) {
+  const totalStartTime = performance.now();
+
+  try {
+    // 1. Auth check
+    const supabase = await createClient();
+    const {
+      data: { user },
+      error: authError,
+    } = await supabase.auth.getUser();
+
+    if (authError || !user) {
+      return NextResponse.json(
+        { error: 'Niet geautoriseerd. Log opnieuw in.' },
+        { status: 401 }
+      );
+    }
+
+    // 2. Parse and validate request
+    let json: unknown;
+    try {
+      json = await request.json();
+    } catch {
+      return NextResponse.json(
+        { error: 'Ongeldige JSON in request body' },
+        { status: 400 }
+      );
+    }
+
+    const parsed = ClassifyRequestSchema.safeParse(json);
+
+    if (!parsed.success) {
+      return NextResponse.json(
+        {
+          error: 'Ongeldige request',
+          details: parsed.error.issues.map((i) => ({
+            path: i.path.join('.'),
+            message: i.message,
+          })),
+        },
+        { status: 400 }
+      );
+    }
+
+    const { input, context, options } = parsed.data;
+    const trimmedInput = input.trim();
+
+    // 3. Check feature flag
+    if (!isFeatureEnabled('CORTEX_V2_ENABLED')) {
+      return NextResponse.json(
+        { error: 'Cortex V2 is niet ingeschakeld' },
+        { status: 503 }
+      );
+    }
+
+    // 4. Step 1: Try Reflex Arc (Layer 1)
+    const reflexResult = classifyWithReflex(trimmedInput);
+
+    // Log reflex result (if logging enabled)
+    if (!options?.skipLogging && isFeatureEnabled('CORTEX_LOGGING')) {
+      console.log('[Cortex Classify] Reflex result:', {
+        input: trimmedInput.slice(0, 50),
+        intent: reflexResult.intent,
+        confidence: reflexResult.confidence,
+        shouldEscalate: reflexResult.shouldEscalateToAI,
+        reason: reflexResult.escalationReason,
+        timeMs: reflexResult.processingTimeMs.toFixed(2),
+      });
+    }
+
+    // 5. Check if we should escalate to Orchestrator
+    const shouldEscalate = reflexResult.shouldEscalateToAI || options?.forceAI;
+
+    if (!shouldEscalate) {
+      // Reflex handled it - build simple chain
+      const chain = buildChainFromReflex(trimmedInput, reflexResult);
+
+      const response: ClassifyResponse = {
+        chain,
+        handledBy: 'reflex',
+        debug: {
+          reflexResult,
+          processingTimeMs: performance.now() - totalStartTime,
+        },
+      };
+
+      return NextResponse.json(response);
+    }
+
+    // 6. Log escalation
+    if (!options?.skipLogging && isFeatureEnabled('CORTEX_LOGGING')) {
+      console.log('[Cortex Classify] Escalating to Orchestrator:', {
+        reason: reflexResult.escalationReason,
+        reflexIntent: reflexResult.intent,
+        reflexConfidence: reflexResult.confidence,
+      });
+    }
+
+    // 7. Step 2: Escalate to Orchestrator (Layer 2)
+    try {
+      // Transform context to proper CortexContext type
+      const cortexContext: CortexContext = {
+        ...context,
+        recentIntents: context.recentIntents.map((ri) => ({
+          intent: ri.intent as CortexIntent,
+          patientName: ri.patientName,
+          timestamp: ri.timestamp,
+        })),
+      };
+
+      const aiResult = await classifyWithOrchestrator(
+        trimmedInput,
+        cortexContext
+      );
+
+      // Log AI result
+      if (!options?.skipLogging && isFeatureEnabled('CORTEX_LOGGING')) {
+        console.log('[Cortex Classify] Orchestrator result:', {
+          actionsCount: aiResult.chain.actions.length,
+          intents: aiResult.chain.actions.map((a) => a.intent),
+          tokensUsed: aiResult.tokensUsed,
+          timeMs: aiResult.processingTimeMs.toFixed(2),
+        });
+      }
+
+      const response: ClassifyResponse = {
+        chain: aiResult.chain,
+        handledBy: 'orchestrator',
+        needsClarification: aiResult.needsClarification,
+        clarificationQuestion: aiResult.clarificationQuestion,
+        clarificationOptions: aiResult.clarificationOptions,
+        debug: {
+          reflexResult,
+          processingTimeMs: performance.now() - totalStartTime,
+          tokensUsed: aiResult.tokensUsed,
+        },
+      };
+
+      return NextResponse.json(response);
+    } catch (aiError) {
+      // 8. Graceful fallback on AI failure
+      console.error(
+        '[Cortex Classify] AI failed, falling back to Reflex:',
+        aiError instanceof Error ? aiError.message : aiError
+      );
+
+      const fallbackChain = buildFallbackChain(trimmedInput, reflexResult);
+
+      const response: ClassifyResponse = {
+        chain: fallbackChain,
+        handledBy: 'reflex', // Mark as reflex since AI failed
+        debug: {
+          reflexResult,
+          processingTimeMs: performance.now() - totalStartTime,
+        },
+      };
+
+      return NextResponse.json(response);
+    }
+  } catch (error) {
+    console.error('[Cortex Classify] Unexpected error:', error);
+    return NextResponse.json(
+      { error: 'Er ging iets mis bij classificatie. Probeer het opnieuw.' },
+      { status: 500 }
+    );
+  }
+}
diff --git a/docs/intent/bouwplan-cortex-v2.md b/docs/intent/bouwplan-cortex-v2.md
index 112697d..d181f67 100644
--- a/docs/intent/bouwplan-cortex-v2.md
+++ b/docs/intent/bouwplan-cortex-v2.md
@@ -1,8 +1,8 @@
 # Bouwplan — Cortex Intent System V2
 
 **Projectnaam:** Cortex V2 - Agentic Intent Architecture
-**Versie:** v1.1
-**Datum:** 31-12-2025
+**Versie:** v1.2
+**Datum:** 01-01-2026
 **Auteur:** Colin Lit
 
 ---
@@ -133,7 +133,7 @@ lib/config/
 |---------|-------|------|--------|---------|--------------|
 | **E0** | Foundation & Context | Types, API, feature flags | ✅ Done | 5 | 8 SP |
 | **E1** | Reflex Arc (Layer 1) | Snelle lokale classificatie | ✅ Done | 4 | 6 SP |
-| **E2** | Intent Orchestrator (Layer 2) | AI-gedreven multi-intent | ⏳ To Do | 6 | 13 SP |
+| **E2** | Intent Orchestrator (Layer 2) | AI-gedreven multi-intent | ✅ Done | 6 | 13 SP |
 | **E3** | UI Components | ActionChainCard, ClarificationCard | ⏳ To Do | 4 | 8 SP |
 | **E4** | Nudge MVP (Layer 3) | Proactieve suggesties | ⏳ To Do | 3 | 5 SP |
 | **E5** | Integration & Polish | End-to-end flow, testing | ⏳ To Do | 4 | 8 SP |
@@ -465,12 +465,12 @@ describe('Reflex Classifier', () => {
 
 | Story ID | Beschrijving | Acceptatiecriteria | Status | Afhankelijkheden | SP |
 |----------|--------------|---------------------|--------|------------------|----|
-| E2.S1 | **System prompt** voor Orchestrator | Prompt met context, intent types, output format | ⏳ | E0.S1 | 2 |
-| E2.S2 | **Context formatting** voor AI | `formatContextForPrompt()` functie | ⏳ | E0.S2 | 1 |
-| E2.S3 | **AI classification** endpoint | `classifyWithOrchestrator()` met Claude 3.5 Haiku | ⏳ | E2.S1, E2.S2 | 3 |
-| E2.S4 | **IntentChain parsing** | JSON response naar IntentChain met actions | ⏳ | E2.S3 | 2 |
-| E2.S5 | **POST /api/cortex/classify** | Hybrid endpoint: Reflex → Orchestrator fallback | ⏳ | E1.S1-S3, E2.S3-S4 | 3 |
-| E2.S6 | **Graceful fallback** | Bij AI failure → fallback naar Reflex-only | ⏳ | E2.S5 | 2 |
+| E2.S1 | **System prompt** voor Orchestrator | Prompt met context, intent types, output format | ✅ | E0.S1 | 2 |
+| E2.S2 | **Context formatting** voor AI | `formatContextForPrompt()` functie | ✅ | E0.S2 | 1 |
+| E2.S3 | **AI classification** endpoint | `classifyWithOrchestrator()` met Claude 3.5 Haiku | ✅ | E2.S1, E2.S2 | 3 |
+| E2.S4 | **IntentChain parsing** | JSON response naar IntentChain met actions | ✅ | E2.S3 | 2 |
+| E2.S5 | **POST /api/cortex/classify** | Hybrid endpoint: Reflex → Orchestrator fallback | ✅ | E1.S1-S3, E2.S3-S4 | 3 |
+| E2.S6 | **Graceful fallback** | Bij AI failure → fallback naar Reflex-only | ✅ | E2.S5 | 2 |
 
 **Deliverable:** "Zeg Jan af en maak notitie" wordt correct geparsed naar 2 acties
 
@@ -528,8 +528,8 @@ ALLEEN valid JSON (geen markdown):
 *Zie TO sectie 8.3 voor volledige prompt.*
 
 *Done criteria:*
-- [ ] Prompt is duidelijk en in het Nederlands
-- [ ] JSON output format gedocumenteerd
+- [x] Prompt is duidelijk en in het Nederlands
+- [x] JSON output format gedocumenteerd
 
 ---
 
@@ -549,8 +549,8 @@ ALLEEN valid JSON (geen markdown):
 ```
 
 *Done criteria:*
-- [ ] Context leesbaar voor AI
-- [ ] Graceful handling van null values
+- [x] Context leesbaar voor AI
+- [x] Graceful handling van null values
 
 ---
 
@@ -582,9 +582,9 @@ export async function classifyWithOrchestrator(
 ```
 
 *Done criteria:*
-- [ ] Multi-intent input → meerdere actions in response
-- [ ] Processing time ~400ms (acceptabel)
-- [ ] Tokens usage gelogd
+- [x] Multi-intent input → meerdere actions in response
+- [x] Processing time ~400ms (acceptabel)
+- [x] Tokens usage gelogd
 
 ---
 
@@ -609,9 +609,9 @@ function parseAIResponse(rawText: string): ParsedResponse {
 - Missing fields → defaults
 
 *Done criteria:*
-- [ ] Valid JSON correct geparsed
-- [ ] Invalid JSON → graceful fallback
-- [ ] IntentChain correct opgebouwd
+- [x] Valid JSON correct geparsed
+- [x] Invalid JSON → graceful fallback
+- [x] IntentChain correct opgebouwd
 
 ---
 
@@ -640,9 +640,9 @@ export async function POST(request: NextRequest) {
 ```
 
 *Done criteria:*
-- [ ] Simpele input → Reflex (geen AI call)
-- [ ] Complexe input → Orchestrator
-- [ ] Response bevat `handledBy` field
+- [x] Simpele input → Reflex (geen AI call)
+- [x] Complexe input → Orchestrator
+- [x] Response bevat `handledBy` field
 
 ---
 
@@ -667,9 +667,9 @@ try {
 ```
 
 *Done criteria:*
-- [ ] AI failure → geen crash
-- [ ] User ziet resultaat (mogelijk minder intelligent)
-- [ ] Error gelogd voor monitoring
+- [x] AI failure → geen crash
+- [x] User ziet resultaat (mogelijk minder intelligent)
+- [x] Error gelogd voor monitoring
 
 ---
 
@@ -1397,3 +1397,4 @@ De MVP User Stories uit `mvp-userstories-intent-system.md` zijn als volgt verdee
 |--------|-------|--------|-----------|
 | v1.0 | 30-12-2025 | Colin Lit | Initiële versie op basis van PRD, FO, TO, Architecture docs |
 | v1.1 | 31-12-2025 | Colin Lit | Dev-instructies per epic toegevoegd, file mappings, done criteria |
+| v1.2 | 01-01-2026 | Colin Lit | Epic 2 (Intent Orchestrator) compleet - alle 6 stories afgerond |
diff --git a/lib/cortex/orchestrator.ts b/lib/cortex/orchestrator.ts
new file mode 100644
index 0000000..47a2dbb
--- /dev/null
+++ b/lib/cortex/orchestrator.ts
@@ -0,0 +1,776 @@
+/**
+ * Intent Orchestrator (Layer 2)
+ *
+ * AI-powered intent classification for Cortex V2.
+ * Handles complex inputs: multi-intent, context-dependent pronouns, relative time.
+ * Uses Claude 3.5 Haiku for intelligent classification.
+ *
+ * Called when Reflex Arc (Layer 1) escalates due to:
+ * - Multi-intent detected (e.g., "zeg jan af en maak notitie")
+ * - Context-dependent pronouns (e.g., "maak notitie voor hem")
+ * - Relative time expressions (e.g., "plan afspraak morgen")
+ * - Low confidence or ambiguous classification
+ */
+
+import { z } from 'zod';
+import type {
+  CortexContext,
+  CortexIntent,
+  IntentChain,
+  ExtractedEntities,
+} from './types';
+
+// =============================================================================
+// E2.S1 — System Prompt for Orchestrator
+// =============================================================================
+
+/**
+ * System prompt for the Intent Orchestrator.
+ *
+ * Key features:
+ * - Multi-intent detection (splits "X en Y" into separate actions)
+ * - Pronoun resolution (hij/zij → active patient)
+ * - Relative time handling (morgen → concrete date)
+ * - Confidence scoring with thresholds
+ * - JSON-only output format
+ */
+export const ORCHESTRATOR_SYSTEM_PROMPT = `Je bent de Intent Orchestrator voor Cortex, een Nederlands EPD (Elektronisch Patiënten Dossier) systeem voor GGZ-instellingen.
+
+## Je Taak
+Analyseer de gebruikersinput en extraheer ALLE intenties, ook als er meerdere zijn in één zin.
+Retourneer altijd valid JSON zonder markdown formatting.
+
+## Context die je krijgt
+Je ontvangt context over:
+- Actieve patiënt (wie de gebruiker momenteel bekijkt)
+- Agenda vandaag (afspraken voor deze dag)
+- Recente acties (wat er net is gedaan)
+- Huidige weergave (waar in de applicatie)
+- Dienst (nacht/ochtend/middag/avond)
+
+## Intent Types
+
+1. **dagnotitie** - Verpleegkundige notitie/rapportage maken
+   Entities:
+   - patientName: naam van de patiënt
+   - patientResolution: 'explicit' | 'context' | 'pronoun'
+   - category: 'medicatie' | 'adl' | 'gedrag' | 'incident' | 'observatie'
+   - content: inhoud van de notitie
+   Voorbeelden: "notitie jan medicatie", "schrijf observatie voor piet"
+
+2. **zoeken** - Patiënt zoeken of informatie opvragen
+   Entities:
+   - patientName: naam die gezocht wordt
+   - query: zoekterm
+   Voorbeelden: "zoek jan", "wie is marie"
+
+3. **overdracht** - Dienst overdracht bekijken
+   Entities: (geen specifieke entities)
+   Voorbeelden: "overdracht", "wat moet ik weten"
+
+4. **agenda_query** - Agenda/afspraken opvragen
+   Entities:
+   - dateRange: { start, end, label }
+   - patientName: specifieke patiënt (optioneel)
+   Voorbeelden: "agenda vandaag", "afspraken volgende week"
+
+5. **create_appointment** - Afspraak maken/plannen
+   Entities:
+   - patientName: patiënt voor de afspraak
+   - patientResolution: 'explicit' | 'context' | 'pronoun'
+   - date: datum (YYYY-MM-DD)
+   - time: tijd (HH:mm)
+   - appointmentType: 'intake' | 'behandeling' | 'follow-up' | 'telefonisch' | 'huisbezoek' | 'online' | 'crisis' | 'overig'
+   - location: 'praktijk' | 'online' | 'thuis'
+   Voorbeelden: "maak afspraak met jan morgen 14:00", "plan intake"
+
+6. **cancel_appointment** - Afspraak annuleren
+   Entities:
+   - patientName: patiënt van de afspraak
+   - patientResolution: 'explicit' | 'context' | 'pronoun'
+   - identifier: afspraak-identificatie (tijd, datum, of beide)
+   Voorbeelden: "annuleer afspraak jan", "zeg de afspraak van 14:00 af"
+
+7. **reschedule_appointment** - Afspraak verzetten
+   Entities:
+   - patientName: patiënt van de afspraak
+   - identifier: huidige afspraak
+   - newDate: nieuwe datum
+   - newTime: nieuwe tijd
+   Voorbeelden: "verzet 14:00 naar 15:00", "verplaats afspraak naar dinsdag"
+
+## Multi-Intent Detectie
+Let op signaalwoorden die meerdere acties aangeven:
+- "en" - bijv. "zeg jan af EN maak notitie"
+- "daarna" / "dan" - sequentie van acties
+- "ook" / "ook nog" - toevoeging
+- "eerst" / "vervolgens" - volgorde
+
+Splits deze in aparte actions met oplopende sequence nummers.
+
+## Pronoun Resolution
+Gebruik de context om voornaamwoorden op te lossen:
+- "hij" / "hem" / "zijn" → actieve mannelijke patiënt
+- "zij" / "haar" → actieve vrouwelijke patiënt
+- "die afspraak" / "deze afspraak" → meest recente afspraak in context
+- "deze patiënt" / "die patiënt" → actieve patiënt
+
+Vul patientResolution in:
+- 'explicit': naam expliciet genoemd
+- 'context': afgeleid uit huidige weergave/context
+- 'pronoun': opgelost via voornaamwoord
+
+## Relatieve Tijd
+Los relatieve tijdsaanduidingen op naar concrete datums (gebruik de huidige datum die je krijgt):
+- "morgen" → volgende dag
+- "overmorgen" → dag na morgen
+- "volgende week" → begin volgende week
+- "over X dagen" → bereken datum
+- "komende maandag" → eerstvolgende maandag
+
+## Confidence Scores
+- >= 0.9: Zeer zeker, alle entities duidelijk geëxtraheerd
+- 0.7 - 0.9: Redelijk zeker, hoofdintent duidelijk
+- 0.5 - 0.7: Onzeker, mogelijk clarificatie nodig
+- < 0.5: Onduidelijk, stel clarificationQuestion
+
+## Destructieve Acties
+Zet requiresConfirmation=true voor:
+- cancel_appointment (annuleren van afspraken)
+- Elke actie met potentieel grote impact
+
+## Output Format
+Antwoord ALLEEN met valid JSON (geen markdown code blocks, geen uitleg):
+
+{
+  "actions": [
+    {
+      "intent": "cancel_appointment",
+      "confidence": 0.92,
+      "entities": {
+        "patientName": "Jan",
+        "patientResolution": "explicit"
+      },
+      "requiresConfirmation": true,
+      "confirmationMessage": "Afspraak van Jan annuleren?"
+    },
+    {
+      "intent": "dagnotitie",
+      "confidence": 0.88,
+      "entities": {
+        "patientName": "Jan",
+        "patientResolution": "pronoun",
+        "content": "griep"
+      },
+      "requiresConfirmation": false
+    }
+  ],
+  "reasoning": "Input bevat 'en' wat wijst op twee acties: eerst annuleren, dan notitie maken. 'Hij' verwijst naar Jan uit eerste actie.",
+  "needsClarification": false,
+  "clarificationQuestion": null,
+  "clarificationOptions": null
+}
+
+## Clarification
+Als de intentie onduidelijk is, vraag om verduidelijking:
+{
+  "actions": [],
+  "reasoning": "Onduidelijk of gebruiker notitie of afspraak bedoelt",
+  "needsClarification": true,
+  "clarificationQuestion": "Wil je een notitie maken of een afspraak inplannen?",
+  "clarificationOptions": ["Notitie maken", "Afspraak inplannen"]
+}
+
+## Belangrijke Regels
+1. Retourneer ALLEEN JSON, geen markdown code blocks of uitleg
+2. Bij twijfel: stel clarificationQuestion met concrete options
+3. Behoud volgorde van acties zoals in de input
+4. Als er geen actieve patiënt is en er wordt verwezen met "hij/zij", vraag om verduidelijking
+5. Elke action moet minimaal intent en confidence hebben
+`;
+
+// =============================================================================
+// E2.S2 — Context Formatting for AI
+// =============================================================================
+
+/** Dutch labels for shift types */
+const SHIFT_LABELS: Record<string, string> = {
+  nacht: 'nachtdienst',
+  ochtend: 'ochtenddienst',
+  middag: 'middagdienst',
+  avond: 'avonddienst',
+};
+
+/** Dutch labels for view types */
+const VIEW_LABELS: Record<string, string> = {
+  dashboard: 'Dashboard',
+  'patient-detail': 'Patiëntdossier',
+  agenda: 'Agenda',
+  reports: 'Rapportages',
+  chat: 'Chat',
+};
+
+/**
+ * Format CortexContext into a readable string for the AI prompt.
+ *
+ * Uses emoji for visual structure and handles null values gracefully.
+ * Limits agenda items and recent intents to avoid token bloat.
+ *
+ * @param context - The CortexContext to format
+ * @returns Formatted string for inclusion in AI prompt
+ */
+export function formatContextForPrompt(context: CortexContext): string {
+  const lines: string[] = [];
+
+  // Active patient
+  if (context.activePatient) {
+    lines.push(
+      `🧑 Actieve patiënt: ${context.activePatient.name} (ID: ${context.activePatient.id})`
+    );
+    if (context.activePatient.recentNotes?.length) {
+      const notes = context.activePatient.recentNotes.slice(0, 3);
+      lines.push(`   Recente notities: ${notes.join(', ')}`);
+    }
+    if (context.activePatient.upcomingAppointments?.length) {
+      const upcoming = context.activePatient.upcomingAppointments[0];
+      const dateStr = upcoming.date.toLocaleDateString('nl-NL', {
+        weekday: 'short',
+        day: 'numeric',
+        month: 'short',
+      });
+      lines.push(`   Eerstvolgende afspraak: ${dateStr} (${upcoming.type})`);
+    }
+  } else {
+    lines.push('🧑 Actieve patiënt: Geen');
+  }
+
+  // Current view
+  const viewLabel = VIEW_LABELS[context.currentView] || context.currentView;
+  lines.push(`📍 Huidige weergave: ${viewLabel}`);
+
+  // Time and shift
+  const timeStr = context.currentTime.toLocaleTimeString('nl-NL', {
+    hour: '2-digit',
+    minute: '2-digit',
+  });
+  const shiftLabel = SHIFT_LABELS[context.shift] || context.shift;
+  lines.push(`⏰ Tijd: ${timeStr} (${shiftLabel})`);
+
+  // Today's agenda (max 5 items)
+  if (context.agendaToday.length > 0) {
+    lines.push('📅 Agenda vandaag:');
+    const agendaItems = context.agendaToday.slice(0, 5);
+    for (const apt of agendaItems) {
+      lines.push(`   - ${apt.time}: ${apt.patientName} (${apt.type})`);
+    }
+    if (context.agendaToday.length > 5) {
+      lines.push(`   ... en ${context.agendaToday.length - 5} meer`);
+    }
+  } else {
+    lines.push('📅 Agenda vandaag: Geen afspraken');
+  }
+
+  // Recent intents (max 3 items)
+  if (context.recentIntents.length > 0) {
+    lines.push('🕐 Recente acties:');
+    const recentItems = context.recentIntents.slice(0, 3);
+    for (const recent of recentItems) {
+      const patientPart = recent.patientName ? ` (${recent.patientName})` : '';
+      lines.push(`   - ${recent.intent}${patientPart}`);
+    }
+  }
+
+  return lines.join('\n');
+}
+
+// =============================================================================
+// E2.S3 — AI Classification with Orchestrator
+// =============================================================================
+
+/** Result from AI classification */
+export interface AIClassificationResult {
+  chain: IntentChain;
+  model: string;
+  tokensUsed: number;
+  processingTimeMs: number;
+  needsClarification: boolean;
+  clarificationQuestion?: string;
+  clarificationOptions?: string[];
+}
+
+/** Parsed action from AI response */
+interface ParsedAction {
+  intent: string;
+  confidence: number;
+  entities: Record<string, unknown>;
+  requiresConfirmation?: boolean;
+  confirmationMessage?: string;
+}
+
+/** Parsed response from AI */
+interface ParsedResponse {
+  actions: ParsedAction[];
+  reasoning?: string;
+  needsClarification: boolean;
+  clarificationQuestion?: string | null;
+  clarificationOptions?: string[] | null;
+}
+
+/**
+ * Classify user input using the Intent Orchestrator (Layer 2).
+ *
+ * Uses Claude 3.5 Haiku for intelligent multi-intent classification.
+ * Called when Reflex Arc escalates due to complexity.
+ *
+ * @param input - User input string
+ * @param context - Current application context
+ * @returns Classification result with IntentChain
+ * @throws Error if API call fails (caller should handle fallback)
+ */
+export async function classifyWithOrchestrator(
+  input: string,
+  context: CortexContext
+): Promise<AIClassificationResult> {
+  const startTime = performance.now();
+
+  const apiKey = process.env.ANTHROPIC_API_KEY;
+  if (!apiKey) {
+    throw new Error('ANTHROPIC_API_KEY ontbreekt in environment');
+  }
+
+  // Format context for AI
+  const contextPrompt = formatContextForPrompt(context);
+  const currentDate = new Date().toISOString().split('T')[0];
+
+  const userMessage = `## Context
+${contextPrompt}
+
+## Huidige datum
+${currentDate}
+
+## Gebruikersinput
+"${input}"
+
+Analyseer en extraheer alle intenties.`;
+
+  // Call Claude API
+  const response = await fetch('https://api.anthropic.com/v1/messages', {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      'x-api-key': apiKey,
+      'anthropic-version': '2023-06-01',
+    },
+    body: JSON.stringify({
+      model: 'claude-3-5-haiku-20241022',
+      max_tokens: 512,
+      temperature: 0, // Deterministic output for consistent parsing
+      system: ORCHESTRATOR_SYSTEM_PROMPT,
+      messages: [{ role: 'user', content: userMessage }],
+    }),
+  });
+
+  if (!response.ok) {
+    const errorBody = await response.text();
+    console.error('[Orchestrator] Claude API error:', response.status, errorBody);
+    throw new Error(`Claude API fout: ${response.status}`);
+  }
+
+  const data = await response.json();
+  const rawText = data?.content?.[0]?.text;
+
+  if (!rawText) {
+    throw new Error('Geen response van Claude API');
+  }
+
+  const processingTimeMs = performance.now() - startTime;
+  const tokensUsed =
+    (data.usage?.input_tokens || 0) + (data.usage?.output_tokens || 0);
+
+  // Parse AI response with Zod validation (E2.S4)
+  const parsed = parseAIResponse(rawText);
+
+  // Build IntentChain from parsed actions
+  const chain: IntentChain = {
+    id: crypto.randomUUID(),
+    originalInput: input,
+    createdAt: new Date(),
+    actions: parsed.actions.map((action, index) => ({
+      id: crypto.randomUUID(),
+      sequence: index + 1,
+      intent: action.intent as CortexIntent,
+      confidence: action.confidence,
+      entities: action.entities as ExtractedEntities,
+      status: 'pending' as const,
+      requiresConfirmation: action.requiresConfirmation || false,
+      confirmationMessage: action.confirmationMessage,
+    })),
+    status: 'pending',
+    meta: {
+      source: 'ai',
+      processingTimeMs,
+      aiReasoning: parsed.reasoning,
+    },
+  };
+
+  return {
+    chain,
+    model: 'claude-3-5-haiku-20241022',
+    tokensUsed,
+    processingTimeMs,
+    needsClarification: parsed.needsClarification,
+    clarificationQuestion: parsed.clarificationQuestion || undefined,
+    clarificationOptions: parsed.clarificationOptions || undefined,
+  };
+}
+
+// =============================================================================
+// E2.S4 — IntentChain Parsing with Zod Validation
+// =============================================================================
+
+/** Valid intent types for Zod schema */
+const VALID_INTENTS = [
+  'dagnotitie',
+  'zoeken',
+  'overdracht',
+  'agenda_query',
+  'create_appointment',
+  'cancel_appointment',
+  'reschedule_appointment',
+  'unknown',
+] as const;
+
+/** Valid categories for dagnotitie */
+const VALID_CATEGORIES = [
+  'medicatie',
+  'adl',
+  'gedrag',
+  'incident',
+  'observatie',
+] as const;
+
+/** Valid patient resolution types */
+const VALID_RESOLUTIONS = ['explicit', 'context', 'pronoun'] as const;
+
+/** Zod schema for entities in an action */
+const EntitiesSchema = z
+  .object({
+    patientName: z.string().optional(),
+    patientId: z.string().optional(),
+    patientResolution: z.enum(VALID_RESOLUTIONS).optional(),
+    category: z.enum(VALID_CATEGORIES).optional(),
+    content: z.string().optional(),
+    query: z.string().optional(),
+    date: z.string().optional(),
+    time: z.string().optional(),
+    identifier: z.string().optional(),
+    newDate: z.string().optional(),
+    newTime: z.string().optional(),
+    appointmentType: z.string().optional(),
+    location: z.string().optional(),
+  })
+  .passthrough(); // Allow additional fields
+
+/** Zod schema for a single action */
+const ActionSchema = z.object({
+  intent: z.enum(VALID_INTENTS).catch('unknown'),
+  confidence: z.number().min(0).max(1).catch(0.5),
+  entities: EntitiesSchema.optional().default({}),
+  requiresConfirmation: z.boolean().optional().default(false),
+  confirmationMessage: z.string().optional(),
+});
+
+/** Zod schema for the complete AI response */
+const AIResponseSchema = z.object({
+  actions: z.array(ActionSchema).min(1).catch([
+    { intent: 'unknown' as const, confidence: 0, entities: {}, requiresConfirmation: false },
+  ]),
+  reasoning: z.string().optional(),
+  needsClarification: z.boolean().optional().default(false),
+  clarificationQuestion: z.string().nullable().optional(),
+  clarificationOptions: z.array(z.string()).nullable().optional(),
+});
+
+/** Type inferred from Zod schema */
+type AIResponseType = z.infer<typeof AIResponseSchema>;
+
+/**
+ * Strip markdown code blocks from AI response.
+ *
+ * @param text - Raw text that may contain markdown
+ * @returns Clean JSON text
+ */
+function stripMarkdownCodeBlocks(text: string): string {
+  let cleaned = text.trim();
+
+  // Remove ```json prefix
+  if (cleaned.startsWith('```json')) {
+    cleaned = cleaned.slice(7);
+  } else if (cleaned.startsWith('```')) {
+    cleaned = cleaned.slice(3);
+  }
+
+  // Remove ``` suffix
+  if (cleaned.endsWith('```')) {
+    cleaned = cleaned.slice(0, -3);
+  }
+
+  return cleaned.trim();
+}
+
+/**
+ * Parse AI response with Zod validation.
+ *
+ * Handles edge cases:
+ * - Markdown code blocks (```json ... ```)
+ * - Invalid JSON (returns fallback)
+ * - Missing required fields (uses defaults)
+ * - Unknown intent types (maps to 'unknown')
+ *
+ * @param rawText - Raw text from Claude API
+ * @returns Validated and parsed response
+ */
+export function parseAIResponse(rawText: string): ParsedResponse {
+  const jsonText = stripMarkdownCodeBlocks(rawText);
+
+  // Try to parse JSON
+  let parsed: unknown;
+  try {
+    parsed = JSON.parse(jsonText);
+  } catch (error) {
+    console.error(
+      '[Orchestrator] JSON parse error:',
+      error instanceof Error ? error.message : error,
+      'Raw text:',
+      jsonText.slice(0, 200)
+    );
+    return createFallbackResponse('JSON parse error');
+  }
+
+  // Validate with Zod schema
+  const validation = AIResponseSchema.safeParse(parsed);
+
+  if (!validation.success) {
+    console.error(
+      '[Orchestrator] Zod validation failed:',
+      validation.error.issues.map((i) => `${i.path.join('.')}: ${i.message}`)
+    );
+
+    // Try partial extraction if actions array exists
+    if (
+      typeof parsed === 'object' &&
+      parsed !== null &&
+      'actions' in parsed &&
+      Array.isArray((parsed as { actions: unknown }).actions)
+    ) {
+      return extractPartialResponse(parsed as { actions: unknown[] });
+    }
+
+    return createFallbackResponse('Schema validation failed');
+  }
+
+  return mapToParseResponse(validation.data);
+}
+
+/**
+ * Extract partial response when full validation fails.
+ * Attempts to salvage valid actions from malformed response.
+ */
+function extractPartialResponse(parsed: { actions: unknown[] }): ParsedResponse {
+  const validActions: ParsedAction[] = [];
+
+  for (const action of parsed.actions) {
+    const actionValidation = ActionSchema.safeParse(action);
+    if (actionValidation.success) {
+      validActions.push({
+        intent: actionValidation.data.intent,
+        confidence: actionValidation.data.confidence,
+        entities: actionValidation.data.entities,
+        requiresConfirmation: actionValidation.data.requiresConfirmation,
+        confirmationMessage: actionValidation.data.confirmationMessage,
+      });
+    }
+  }
+
+  if (validActions.length === 0) {
+    return createFallbackResponse('No valid actions found');
+  }
+
+  return {
+    actions: validActions,
+    reasoning: (parsed as { reasoning?: string }).reasoning,
+    needsClarification: false,
+  };
+}
+
+/**
+ * Map validated Zod response to ParsedResponse interface.
+ */
+function mapToParseResponse(data: AIResponseType): ParsedResponse {
+  return {
+    actions: data.actions.map((a) => ({
+      intent: a.intent,
+      confidence: a.confidence,
+      entities: a.entities,
+      requiresConfirmation: a.requiresConfirmation,
+      confirmationMessage: a.confirmationMessage,
+    })),
+    reasoning: data.reasoning,
+    needsClarification: data.needsClarification,
+    clarificationQuestion: data.clarificationQuestion,
+    clarificationOptions: data.clarificationOptions,
+  };
+}
+
+/**
+ * Create fallback response when parsing fails.
+ */
+function createFallbackResponse(reason: string): ParsedResponse {
+  return {
+    actions: [{ intent: 'unknown', confidence: 0, entities: {} }],
+    reasoning: reason,
+    needsClarification: false,
+  };
+}
+
+// =============================================================================
+// E2.S6 — Graceful Fallback
+// =============================================================================
+
+import type { LocalClassificationResult } from './types';
+
+/** Default timeout for AI calls (5 seconds) */
+export const AI_TIMEOUT_MS = 5000;
+
+/** Confidence cap when falling back to Reflex result */
+export const FALLBACK_CONFIDENCE_CAP = 0.6;
+
+/**
+ * Build fallback IntentChain when AI fails.
+ *
+ * Uses Reflex result as best-effort classification with capped confidence.
+ * Called when:
+ * - Anthropic API returns error (503, timeout, etc.)
+ * - JSON parsing fails
+ * - Any unexpected error during AI classification
+ *
+ * @param input - Original user input
+ * @param reflexResult - Result from Reflex Arc classification
+ * @returns IntentChain with single action from Reflex result
+ */
+export function buildFallbackChain(
+  input: string,
+  reflexResult: LocalClassificationResult
+): IntentChain {
+  return {
+    id: crypto.randomUUID(),
+    originalInput: input,
+    createdAt: new Date(),
+    actions:
+      reflexResult.intent !== 'unknown'
+        ? [
+            {
+              id: crypto.randomUUID(),
+              sequence: 1,
+              intent: reflexResult.intent,
+              confidence: Math.min(
+                reflexResult.confidence,
+                FALLBACK_CONFIDENCE_CAP
+              ),
+              entities: {} as ExtractedEntities,
+              status: 'pending',
+              requiresConfirmation: false,
+            },
+          ]
+        : [],
+    status: reflexResult.intent !== 'unknown' ? 'pending' : 'failed',
+    meta: {
+      source: 'local',
+      processingTimeMs: reflexResult.processingTimeMs,
+      aiReasoning: 'AI onbeschikbaar - teruggevallen op lokale classificatie',
+    },
+  };
+}
+
+/**
+ * Build simple IntentChain from Reflex result.
+ *
+ * Used when Reflex handles the classification without escalation.
+ *
+ * @param input - Original user input
+ * @param result - Result from Reflex Arc classification
+ * @returns IntentChain with single action
+ */
+export function buildChainFromReflex(
+  input: string,
+  result: LocalClassificationResult
+): IntentChain {
+  return {
+    id: crypto.randomUUID(),
+    originalInput: input,
+    createdAt: new Date(),
+    actions:
+      result.intent !== 'unknown'
+        ? [
+            {
+              id: crypto.randomUUID(),
+              sequence: 1,
+              intent: result.intent,
+              confidence: result.confidence,
+              entities: {} as ExtractedEntities,
+              status: 'pending',
+              requiresConfirmation: false,
+            },
+          ]
+        : [],
+    status: result.intent !== 'unknown' ? 'pending' : 'failed',
+    meta: {
+      source: 'local',
+      processingTimeMs: result.processingTimeMs,
+    },
+  };
+}
+
+/**
+ * Wrapper for classifyWithOrchestrator with timeout protection.
+ *
+ * Ensures AI classification doesn't hang indefinitely.
+ * On timeout, caller should use buildFallbackChain.
+ *
+ * @param input - User input to classify
+ * @param context - Current application context
+ * @param timeoutMs - Timeout in milliseconds (default: 5000)
+ * @returns Classification result or throws on timeout/error
+ */
+export async function classifyWithTimeout(
+  input: string,
+  context: CortexContext,
+  timeoutMs: number = AI_TIMEOUT_MS
+): Promise<AIClassificationResult> {
+  const controller = new AbortController();
+  const timeoutId = setTimeout(() => controller.abort(), timeoutMs);
+
+  try {
+    // Note: The actual fetch in classifyWithOrchestrator doesn't use this signal yet
+    // This wrapper provides the timeout structure for future enhancement
+    const result = await Promise.race([
+      classifyWithOrchestrator(input, context),
+      new Promise<never>((_, reject) => {
+        setTimeout(() => {
+          reject(new Error(`AI classificatie timeout na ${timeoutMs}ms`));
+        }, timeoutMs);
+      }),
+    ]);
+
+    clearTimeout(timeoutId);
+    return result;
+  } catch (error) {
+    clearTimeout(timeoutId);
+
+    if (error instanceof Error && error.message.includes('timeout')) {
+      console.error('[Orchestrator] Request timed out after', timeoutMs, 'ms');
+    }
+
+    throw error; // Re-throw for caller to handle fallback
+  }
+}