diff --git a/api/seed-cfao-healthcare-lean6sigma.py b/api/seed-cfao-healthcare-lean6sigma.py
deleted file mode 100644
index 03b3d631e..000000000
--- a/api/seed-cfao-healthcare-lean6sigma.py
+++ /dev/null
@@ -1,211 +0,0 @@
-#!/usr/bin/env python3
-"""
-V96.16 Seed Lean 6σ dashboard for poc_1d37ee62 — CFAO Healthcare
-Realistic pharma/healthcare distribution context.
-
-Generates: 8 Muda · 5 Poka-Yoke · 4 Kaizen · 3 Gemba walks · 4 PDCA · 3 A3 · 2 Andon · 3 5S audits
-All entries tied to real pharma operations (cold chain, order processing, compliance, etc.)
-"""
-import psycopg2
-import json
-from datetime import datetime, timedelta
-
-TENANT = "poc_1d37ee62"
-conn = psycopg2.connect(host="127.0.0.1", port=5432, dbname="adx_system", user="admin", password="admin123")
-conn.autocommit = True
-cur = conn.cursor()
-
-# ═══════════════════════════════════════════════════════════════════
-# MUDA — 8 entries realistic pharma distribution
-# ═══════════════════════════════════════════════════════════════════
-muda_seeds = [
-    # (vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by)
-    ("cold-chain", "motion", "Opérateurs parcourent 800m aller-retour pour valider température chambre froide 3×/jour", 3, 18, 2400, "identified", "gemba-walk-001"),
-    ("order-processing", "waiting", "Commandes hospitalières en attente validation pharmacien > 4h pic matin", 4, 32, 4800, "identified", "vsm-analysis"),
-    ("inventory", "inventory", "Stock dormant molécules RX expire 15% annuel par manque rotation FIFO", 5, 0, 28000, "in-progress", "audit-annuel-2026"),
-    ("regulatory", "defects", "5% dossiers AMM rejetés 1er tour par info manquante traçabilité batch", 4, 45, 6750, "in-progress", "compliance-audit"),
-    ("logistics", "transport", "Double manutention colis réfrigérés entre quai réception et zone quarantaine", 2, 12, 1600, "identified", "gemba-walk-003"),
-    ("claims", "overprocessing", "Vérification manuelle 3× numéros de lot avant validation dispatch", 3, 8, 1200, "identified", "poc-audit"),
-    ("training", "skills", "Nouveaux opérateurs formés 6 semaines avant autonomie vs 3 industrie", 3, 240, 18000, "identified", "hr-review"),
-    ("campaign-ethica", "defects", "Campaign email bounces 15% pharma list", 4, 15, 1800, "identified", "poc-audit"),
-]
-
-# Delete old + reseed
-cur.execute("DELETE FROM weval.muda_entries WHERE tenant_id = %s AND created_at > '2026-04-01'", (TENANT,))
-for vs, mt, desc, sev, ih, ie, st, db in muda_seeds:
-    cur.execute("""INSERT INTO weval.muda_entries (tenant_id, vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by, created_at)
-                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
-                (TENANT, vs, mt, desc, sev, ih, ie, st, db))
-print(f"✅ Muda: {len(muda_seeds)} entries seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# POKA-YOKE — 5 devices
-# ═══════════════════════════════════════════════════════════════════
-poka_seeds = [
-    ("cold-chain-validation", "T°C hors plage 2-8°C non détectée", "capteur-iot", "Sonde T° Bluetooth + alerte Telegram si dérive >30min", "Test hebdo + étalonnage trimestre", "active", 97.5),
-    ("prescription-match", "Erreur rapprochement ordonnance-préparation", "scan-barcode", "Scan 2D Datamatrix obligatoire avant dispensation", "Audit 50 dispensations/mois", "active", 99.2),
-    ("batch-traceability", "Mauvais lot expédié", "workflow-lockstep", "Validation forcée batch_id + expiration avant imprimante étiquette", "Contrôle double opérateur sur lot sensibles", "active", 99.8),
-    ("temperature-shipping", "Rupture chaîne froid transport", "datalogger", "Enregistreur T°C par colis avec alerte auto si >8°C >15min", "Vérif réception 100% colis chronique", "active", 95.0),
-    ("regulatory-submission", "Soumission AMM incomplète", "checklist-auto", "Formulaire web avec validation 47 champs obligatoires + pièces jointes", "QA review avant envoi", "pilot", 88.0),
-]
-cur.execute("DELETE FROM weval.poka_yoke WHERE tenant_id = %s", (TENANT,))
-for p, fm, dt, mech, val, st, eff in poka_seeds:
-    cur.execute("""INSERT INTO weval.poka_yoke (tenant_id, process, failure_mode, device_type, mechanism, validation, status, efficiency_pct, created_at)
-                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
-                (TENANT, p, fm, dt, mech, val, st, eff))
-print(f"✅ Poka-Yoke: {len(poka_seeds)} devices seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# KAIZEN — 4 events
-# ═══════════════════════════════════════════════════════════════════
-kaizen_seeds = [
-    ("Réduction temps validation pharmacien", "pharmacy", "4h pic validation commandes hospitalières",
-     '{"validation_avg_min": 240}', '{"validation_avg_min": 90}', '{"validation_avg_min": 108}',
-     80, 4800, "pharmacist+pm+it", 5, "completed"),
-    ("FIFO automatisé chambre froide", "warehouse", "15% molécules RX expirent par manque rotation",
-     '{"expired_pct": 15, "expired_value_keur": 28}', '{"expired_pct": 3, "expired_value_keur": 6}', '{"expired_pct": 5, "expired_value_keur": 10}',
-     120, 18000, "logistics+it", 10, "in-progress"),
-    ("Formation accélérée opérateurs", "hr", "Courbe apprentissage 6 semaines avant autonomie",
-     '{"time_to_autonomy_weeks": 6}', '{"time_to_autonomy_weeks": 3}', '{"time_to_autonomy_weeks": 4}',
-     240, 18000, "hr+ops-lead", 15, "in-progress"),
-    ("Pré-validation AMM par checklist", "regulatory", "5% dossiers rejetés 1er tour",
-     '{"rejection_rate_pct": 5}', '{"rejection_rate_pct": 1}', '{"rejection_rate_pct": 2}',
-     50, 7500, "regulatory+qa", 8, "completed"),
-]
-cur.execute("DELETE FROM weval.kaizen_events WHERE tenant_id = %s", (TENANT,))
-for title, dept, problem, bs, tg, ac, sh, se, team, dd, st in kaizen_seeds:
-    cur.execute("""INSERT INTO weval.kaizen_events (tenant_id, title, dept, problem, baseline, target, actual, savings_hours, savings_euro, team, duration_days, status, created_at)
-                   VALUES (%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,%s,NOW())""",
-                (TENANT, title, dept, problem, bs, tg, ac, sh, se, team, dd, st))
-print(f"✅ Kaizen: {len(kaizen_seeds)} events seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# GEMBA — 3 walks
-# ═══════════════════════════════════════════════════════════════════
-gemba_seeds = [
-    ("chambre froide zone A", "pharmacist-lead", 
-     '[{"time":"08:15","note":"Opérateur parcourt 400m pour thermostat - waste motion"},{"time":"08:32","note":"File attente validation 12 commandes - bottleneck"},{"time":"08:47","note":"Stock expiré 2 palettes visibles - waste inventory"}]',
-     '[{"owner":"logistics","action":"Installer thermostat secondaire zone A","due":"2026-05-15"},{"owner":"pharmacy","action":"Mettre en place validation mobile","due":"2026-05-01"}]',
-     3, 45),
-    ("quai réception", "ops-manager",
-     '[{"time":"10:00","note":"Double manutention colis froids entre quai et quarantaine"},{"time":"10:25","note":"Étiquettes batch non lisibles 3/47 colis"}]',
-     '[{"owner":"logistics","action":"Zone tampon ventilée direct sortie quai","due":"2026-06-01"}]',
-     2, 30),
-    ("salle de préparation", "pharmacist+qa",
-     '[{"time":"14:00","note":"Workflow scan barcode fonctionne parfait"},{"time":"14:20","note":"Formation nouveau opérateur - pose 6 questions répétitives doc manquante"}]',
-     '[{"owner":"training","action":"Quick-reference cards plastifiées postes","due":"2026-04-25"}]',
-     1, 60),
-]
-cur.execute("DELETE FROM weval.gemba_walks WHERE tenant_id = %s", (TENANT,))
-for loc, walker, obs, acts, spot, dur in gemba_seeds:
-    cur.execute("""INSERT INTO weval.gemba_walks (tenant_id, location, walker, observations, actions, muda_spotted, walk_duration_min, created_at)
-                   VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s,%s,NOW())""",
-                (TENANT, loc, walker, obs, acts, spot, dur))
-print(f"✅ Gemba: {len(gemba_seeds)} walks seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# PDCA — 4 cycles
-# ═══════════════════════════════════════════════════════════════════
-pdca_seeds = [
-    ("Validation commandes <2h", "do", 
-     '{"analysis":"4h avg validation time pic matin"}', '{"implementation":"App mobile + notif push"}',
-     '{}', '{}', "validation_time_min", 240, 120, 108),
-    ("Rotation FIFO <5% expired", "check",
-     '{"analysis":"15% RX expired annuel"}', '{"implementation":"WMS scan position + alert 90j avant exp"}',
-     '{"measure":"5.2% expired après 3 mois"}', '{}', "expired_rate_pct", 15, 5, 5.2),
-    ("AMM rejection <1%", "act",
-     '{"analysis":"5% rejetés 1er tour"}', '{"implementation":"Checklist 47 points"}',
-     '{"measure":"2% après Q1"}', '{"standardize":"Rollout Q2 toutes soumissions"}', "rejection_rate_pct", 5, 1, 2),
-    ("T° chain excursion <1%", "plan",
-     '{"analysis":"3% colis excursion annuel"}', '{}', '{}', '{}', "excursion_rate_pct", 3, 1, None),
-]
-cur.execute("DELETE FROM weval.pdca_cycles WHERE tenant_id = %s", (TENANT,))
-for title, phase, plan, do, chk, act, kpi, bs, tg, ac in pdca_seeds:
-    cur.execute("""INSERT INTO weval.pdca_cycles (tenant_id, title, phase, plan_data, do_data, check_data, act_data, kpi_name, baseline, target, actual, created_at, updated_at)
-                   VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,NOW(),NOW())""",
-                (TENANT, title, phase, plan, do, chk, act, kpi, bs, tg, ac))
-print(f"✅ PDCA: {len(pdca_seeds)} cycles seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# ANDON — 2 alerts
-# ═══════════════════════════════════════════════════════════════════
-andon_seeds = [
-    ("zone-A-coldroom", "high", "T° à 9.2°C depuis 18min - seuil critique approche (plage 2-8°C)", "iot-sensor", "logistics-team", 22, "resolved"),
-    ("dispensation-station-3", "medium", "Scanner barcode offline 12min - fallback manuel actif", "pharmacist", "it-oncall", None, "open"),
-]
-cur.execute("DELETE FROM weval.andon_alerts WHERE tenant_id = %s", (TENANT,))
-for st, sev, msg, trig, resv, rt, stat in andon_seeds:
-    cur.execute("""INSERT INTO weval.andon_alerts (tenant_id, station, severity, message, triggered_by, resolved_by, resolution_time_min, status, created_at, resolved_at)
-                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW() - INTERVAL '2 hours', CASE WHEN %s='resolved' THEN NOW() ELSE NULL END)""",
-                (TENANT, st, sev, msg, trig, resv, rt, stat, stat))
-print(f"✅ Andon: {len(andon_seeds)} alerts seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# 5S — 3 audits
-# ═══════════════════════════════════════════════════════════════════
-fives_seeds = [
-    ("chambre-froide-A", 4, 4, 4, 3, 4, 19, "audit-q1-pharmacist", "T° stable, étiquetage excellent, rangement à améliorer"),
-    ("salle-preparation", 5, 5, 5, 4, 4, 23, "audit-q1-qa", "Top performer, formation standardisée exemplaire"),
-    ("quai-reception", 3, 3, 3, 3, 3, 15, "audit-q1-ops-lead", "Flux mélangés colis froid/ambient, réorganisation prévue Q2"),
-]
-cur.execute("DELETE FROM weval.five_s_audits WHERE tenant_id = %s", (TENANT,))
-for area, s1, s2, s3, s4, s5, total, aud, notes in fives_seeds:
-    cur.execute("""INSERT INTO weval.five_s_audits (tenant_id, area, seiri, seiton, seiso, seiketsu, shitsuke, auditor, notes, created_at)
-                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""",
-                (TENANT, area, s1, s2, s3, s4, s5, aud, notes))
-print(f"✅ 5S: {len(fives_seeds)} audits seeded")
-
-# ═══════════════════════════════════════════════════════════════════
-# A3 — 3 reports
-# ═══════════════════════════════════════════════════════════════════
-a3_seeds = [
-    ("Expiration stock RX - A3 réduction 15% à 5%", 
-     "CFAO Healthcare perd 28k€/an par péremption molécules RX dans chambres froides",
-     "Actuel: 15% expired annuel · 28k€/an perdu · FIFO manuel inconsistant",
-     "Cible: <5% expired · <10k€/an · FIFO automatisé WMS",
-     "Écart 10pts% · 18k€ savings potentiels annuels",
-     '["Rotation manuelle non tracée","Pas d alerte 90j avant expiration","Position stock non géolocalisée"]',
-     '["WMS avec scan position batch","Alerte automatique J-90 J-30 J-7","Formation équipe rotation FIFO stricte"]',
-     '{"week1":"spec WMS module","week3":"go-live pilot zone A","week8":"rollout complet"}',
-     '{"q1_2026":"measure 5.2% - on track","q2_2026":"review full"}',
-     "logistics-lead", "in-progress"),
-    ("Validation commandes - A3 pic matin", 
-     "Pharmaciens débordés pic 8h-12h, validations en retard 4h, hospitals mécontents",
-     "4h avg · file 12+ commandes 10h · 3 pharmaciens seulement",
-     "90min avg · file <5 commandes · validation mobile",
-     "Gain 2.5h par commande · 4 pharmaciens effectifs via mobile",
-     '["Validation obligée sur poste fixe","Pas de priorisation auto","Contexte manuel non pré-rempli"]',
-     '["App mobile validation","Algorithme priorisation urgent","Pré-remplissage auto batch+prescription"]',
-     '{"week2":"dev app","week5":"pilot 2 pharmaciens","week10":"rollout team"}',
-     '{}',
-     "pharmacy-lead", "in-progress"),
-    ("AMM rejection - A3 checklist", 
-     "5% dossiers AMM rejetés 1er tour par info manquante - 6k€/dossier + 3 mois délai",
-     "5% rejected · 47 points à checker manuellement · QA review variable",
-     "<1% rejected · checklist auto · QA standardisée",
-     "Gain 4pts% · économie 24k€/an (4 soumissions évitées)",
-     '["Checklist papier utilisée inégalement","Pas de blocage soumission si incomplet","Recherche pièces jointes chronophage"]',
-     '["Formulaire web 47 champs obligatoires","Blocage submit si gap","Library pièces jointes centralisée"]',
-     '{"month1":"dev form","month2":"pilot 5 submissions","month3":"rollout"}',
-     '{"q1_2026":"2% rejection - sur bonne voie"}',
-     "regulatory-lead", "completed"),
-]
-cur.execute("DELETE FROM weval.a3_reports WHERE tenant_id = %s", (TENANT,))
-for title, bg, cs, ts, gap, rc, cm, ip, fu, owner, st in a3_seeds:
-    cur.execute("""INSERT INTO weval.a3_reports (tenant_id, title, background, current_state, target_state, gap_analysis, root_causes, countermeasures, implementation_plan, follow_up, owner, status, created_at)
-                   VALUES (%s,%s,%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,NOW())""",
-                (TENANT, title, bg, cs, ts, gap, rc, cm, ip, fu, owner, st))
-print(f"✅ A3: {len(a3_seeds)} reports seeded")
-
-print("\n" + "="*60)
-print("🏆 Seed CFAO Healthcare Lean 6σ COMPLETED")
-print("="*60)
-
-# Verify counts
-for tbl in ['muda_entries','poka_yoke','kaizen_events','gemba_walks','pdca_cycles','andon_alerts','five_s_audits','a3_reports']:
-    cur.execute(f"SELECT COUNT(*) FROM weval.{tbl} WHERE tenant_id = %s", (TENANT,))
-    cnt = cur.fetchone()[0]
-    print(f"  {tbl:22} count={cnt}")
-
-cur.close()
-conn.close()
diff --git a/api/seed-weval-6poles-lean6sigma.py b/api/seed-weval-6poles-lean6sigma.py
new file mode 100644
index 000000000..4af23759f
--- /dev/null
+++ b/api/seed-weval-6poles-lean6sigma.py
@@ -0,0 +1,285 @@
+#!/usr/bin/env python3
+"""
+V96.17 CORRECT — Lean 6σ pour WEVAL Consulting (ses 6 pôles d'expertise)
+
+WEVAL = cabinet multi-verticales basé Casablanca/Paris, 8 pays 3 continents:
+  1. Conseil Stratégique & IA (WEVIA souveraine · 52 domaines · 15 providers cascade)
+  2. Cloud & Intégration (Huawei Cloud · SAP S/4HANA · Vistex · Arrow/Scaleway)
+  3. Marketing Digital (Email WEVADS 6.65M contacts · Ethica HCP 146k · Social Media)
+  4. Cybersécurité IA (Nuclei · fail2ban · WAF · pentests)
+  5. Talent as a Service (5000+ profils IT · 22 candidats pipeline · 4 consultants · TJM 2470)
+  6. Formations certifiantes
+
+Partenariats: Huawei · SAP · Vistex · IQVIA · Confluent · Cloudflare · Hetzner
+"""
+import psycopg2
+conn = psycopg2.connect(host="127.0.0.1", port=5432, dbname="adx_system", user="admin", password="admin123")
+conn.autocommit = True
+cur = conn.cursor()
+T = "weval"
+
+# ═══════════════════════════════════════════════════════════════════
+# MUDA — 14 entries couvrant les 6 pôles d'expertise
+# ═══════════════════════════════════════════════════════════════════
+muda = [
+    # POLE 1: Conseil Stratégique & IA
+    ("conseil-ia", "waiting", "POC WEVIA clients en attente validation DSI >30j (cycle décision long)", 4, 60, 18000, "in-progress", "sales-review"),
+    ("conseil-ia", "overprocessing", "Slides proposition IA refaites 3× par client (pas de template modulable)", 3, 48, 11280, "identified", "ops-review"),
+    
+    # POLE 2: Cloud & Intégration (Huawei/SAP/Vistex)
+    ("cloud-integration", "defects", "Tickets support Huawei/SAP traités >4j moy (SLA client 48h)", 4, 96, 28800, "identified", "delivery-audit"),
+    ("cloud-integration", "motion", "Architectes alternent 4 outils (AWS Console + Huawei + SAP GUI + Excel) sans automation", 3, 72, 16920, "identified", "tech-review"),
+    ("partenaires", "waiting", "Réponses Vistex/Huawei/Arrow lentes (cycle 2-3 semaines email ping-pong)", 3, 20, 3000, "identified", "partnership-review"),
+    
+    # POLE 3: Marketing Digital (WEVADS/Ethica/Social)
+    ("marketing-email", "defects", "Bounce rate campaigns Ethica 15% (SPF/DKIM OK mais liste vieillit)", 4, 15, 1800, "identified", "deliverability-audit"),
+    ("marketing-email", "defects", "Deals campaigns CX3/DoubleM conversion <2% (landing pages non-optimisées)", 4, 40, 12000, "identified", "growth-audit"),
+    ("marketing-social", "overprocessing", "Posts LinkedIn/YT/Insta/TikTok écrits 4× pour 4 plateformes (pas de multi-channel)", 2, 24, 5640, "identified", "content-review"),
+    
+    # POLE 4: Cybersécurité IA
+    ("cybersec", "waiting", "Vulnérabilités Nuclei scan non-triées 3 semaines (backlog 87 findings)", 4, 40, 9400, "identified", "security-audit"),
+    ("cybersec", "defects", "Faux positifs WAF Cloudflare 12% bloquent clients légitimes", 3, 16, 3760, "identified", "ops-review"),
+    
+    # POLE 5: Talent as a Service (recrutement/staffing/delivery)
+    ("recrutement", "defects", "35% candidats scorés abandonnent pendant process (time-to-offer 35j)", 4, 60, 18000, "in-progress", "hr-audit"),
+    ("staffing", "motion", "Matching consultant/mission Excel manuel (4h/mission vs 15min outillé)", 3, 48, 11280, "identified", "ops-review"),
+    ("delivery", "waiting", "Timesheet consultants validés J+15 moy (cible J+5) retarde facturation", 5, 30, 74100, "in-progress", "finance-audit"),
+    ("billing", "defects", "8% factures rejetées 1er envoi (PO/TVA/période)", 3, 16, 2500, "identified", "accounting-review"),
+    ("cash-collection", "overprocessing", "Relance facture manuelle 3× téléphone (DSO 75j vs cible 45j)", 4, 24, 4800, "in-progress", "cash-audit"),
+    ("commissions", "overprocessing", "Calcul commissions Chafik/Youssef Excel manuel 3h/mois + risque erreur", 2, 36, 8000, "in-progress", "ops-review"),
+    
+    # POLE 6: Formations certifiantes
+    ("formations", "inventory", "20 modules formations e-learning non-déployés (stagnent sur Drive)", 2, 0, 15000, "identified", "training-audit"),
+    ("formations", "skills", "Formateurs internes pas certifiés SAP/Huawei (impact sur certifications émises)", 3, 80, 19000, "identified", "training-review"),
+    
+    # Transversal WEVAL
+    ("pipeline-commercial", "inventory", "60+ leads stale >90j pipeline CRM (forecast accuracy biaisé)", 3, 0, 0, "identified", "sales-audit"),
+    ("onboarding-consultant", "skills", "Nouveau consultant autonome J+30 vs J+14 cible (onboarding peu structuré)", 3, 96, 23712, "identified", "hr-audit"),
+]
+
+cur.execute("DELETE FROM weval.muda_entries WHERE tenant_id = %s", (T,))
+for m in muda:
+    cur.execute("""INSERT INTO weval.muda_entries (tenant_id, vs_id, muda_type, description, severity, impact_hours, impact_euro, status, detected_by, created_at)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+m)
+print(f"✅ Muda: {len(muda)} entries — couvrant 6 pôles WEVAL")
+
+# ═══════════════════════════════════════════════════════════════════
+# POKA-YOKE — 8 devices anti-erreurs multi-pôles
+# ═══════════════════════════════════════════════════════════════════
+poka = [
+    ("candidate-scoring", "Scoring subjectif variable", "form-template",
+     "Formulaire 3 axes hard/soft/culturel obligatoire + validation scorer",
+     "Audit 100% scoring avant offer", "active", 95.0),
+    ("timesheet-submission", "Timesheet hors deadline", "workflow-reminder",
+     "Rappel auto J-2/J-1/J0 + blocage portail si J+3 non soumis",
+     "Dashboard manager temps réel", "active", 92.5),
+    ("invoice-generation", "Facture erreur PO/TVA/période", "checklist-auto",
+     "Pré-validation auto 7 champs avant envoi client",
+     "Test historique 0 erreur", "pilot", 98.0),
+    ("campagne-email-bounce", "Envoi campagne liste sans suppressions", "workflow-lockstep",
+     "Validation obligatoire suppression hardbounces + unsubscribes + complaints <30j",
+     "Pré-flight check Ethica/WEVADS", "active", 99.5),
+    ("cloud-deploy", "Deploy production sans review", "gate-approval",
+     "PR obligatoire + review Chouaib + NonReg 153/153 + GOLD avant deploy",
+     "Rollback test mensuel", "active", 97.8),
+    ("nda-contracts", "NDA non signé avant partage doc", "workflow-lockstep",
+     "Blocage Drive share tant que NDA DocuSign non signé",
+     "Audit legal mensuel", "active", 100.0),
+    ("commission-calculation", "Commission calcul erreur", "formula-validation",
+     "Script Python auto + double-check humain si delta >1%",
+     "Réconciliation Excel parallèle 3 mois", "pilot", 97.0),
+    ("social-media-post", "Brand guidelines non respectées", "checklist-pre-publish",
+     "Check logo/tagline/couleurs/hashtags/mentions obligatoires avant publish",
+     "Review marketing manager J+1", "pilot", 90.0),
+]
+cur.execute("DELETE FROM weval.poka_yoke WHERE tenant_id = %s", (T,))
+for p in poka:
+    cur.execute("""INSERT INTO weval.poka_yoke (tenant_id, process, failure_mode, device_type, mechanism, validation, status, efficiency_pct, created_at)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+p)
+print(f"✅ Poka-Yoke: {len(poka)} devices multi-pôles")
+
+# ═══════════════════════════════════════════════════════════════════
+# KAIZEN — 8 événements amélioration 6 pôles
+# ═══════════════════════════════════════════════════════════════════
+kaizen = [
+    ("Templates proposition IA modulables", "conseil-ia", "Slides refaites 3× par client",
+     '{"hours_per_prop": 48}', '{"hours_per_prop": 12}', '{"hours_per_prop": 20}', 28, 6580, "yacine+design", 14, "completed"),
+    
+    ("SLA support Huawei/SAP <48h", "cloud-integration", "Tickets >4j actuellement",
+     '{"sla_hours": 96}', '{"sla_hours": 48}', '{"sla_hours": 72}', 50, 15000, "chouaib+tech", 21, "in-progress"),
+    
+    ("Deliverability Ethica bounce <5%", "marketing-email", "Bounce rate 15% campagnes pharma",
+     '{"bounce_rate_pct": 15}', '{"bounce_rate_pct": 5}', '{"bounce_rate_pct": 8}', 20, 9600, "marketing+ops", 20, "in-progress"),
+    
+    ("Multi-channel publishing automation", "marketing-social", "Posts écrits 4× pour 4 plateformes",
+     '{"hours_per_week": 24}', '{"hours_per_week": 4}', '{"hours_per_week": 8}', 80, 18800, "content+tech", 15, "in-progress"),
+    
+    ("Nuclei findings triés <48h", "cybersec", "Backlog 87 findings 3 semaines",
+     '{"backlog_days": 21}', '{"backlog_days": 2}', '{"backlog_days": 5}', 16, 3760, "security+ops", 10, "in-progress"),
+    
+    ("Automation commissions Python", "finance", "Excel manuel 3h/mois + risques",
+     '{"hours_month": 3, "error_rate_pct": 2}', '{"hours_month": 0.2, "error_rate_pct": 0}',
+     '{"hours_month": 0.5, "error_rate_pct": 0}', 36, 8640, "yacine+youssef", 15, "completed"),
+    
+    ("Time-to-offer 35j → 21j", "recrutement", "Time-to-offer lent perd 35% candidats",
+     '{"time_to_offer_days": 35, "abandon_rate_pct": 35}',
+     '{"time_to_offer_days": 21, "abandon_rate_pct": 15}',
+     '{"time_to_offer_days": 22, "abandon_rate_pct": 18}', 20, 9000, "hr+partner", 12, "completed"),
+    
+    ("Formations e-learning déploiement", "formations", "20 modules stagnent Drive non-déployés",
+     '{"modules_live": 0, "revenue_formations_keur": 0}',
+     '{"modules_live": 20, "revenue_formations_keur": 30}',
+     '{"modules_live": 5, "revenue_formations_keur": 8}', 40, 15000, "training+tech", 30, "in-progress"),
+]
+cur.execute("DELETE FROM weval.kaizen_events WHERE tenant_id = %s", (T,))
+for k in kaizen:
+    cur.execute("""INSERT INTO weval.kaizen_events (tenant_id, title, dept, problem, baseline, target, actual, savings_hours, savings_euro, team, duration_days, status, created_at)
+                   VALUES (%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,%s,NOW())""", (T,)+k)
+print(f"✅ Kaizen: {len(kaizen)} events — 6 pôles")
+
+# ═══════════════════════════════════════════════════════════════════
+# GEMBA — walks dans l'organisation WEVAL multi-pôles
+# ═══════════════════════════════════════════════════════════════════
+gemba = [
+    ("bureau Casablanca delivery", "yacine-partner",
+     '[{"time":"09:30","note":"Chouaib valide timesheets 1-par-1 manuellement"},{"time":"10:00","note":"Sara attend accès VM client CGI 2h"},{"time":"10:45","note":"Relance facture OKP4 3 semaines no-response"}]',
+     '[{"owner":"ops","action":"Portail timesheet self-service","due":"2026-05-10"},{"owner":"tech","action":"Pré-provisioning VM J-3","due":"2026-05-01"},{"owner":"finance","action":"Auto-relance J+30/45/60","due":"2026-04-30"}]', 3, 75),
+    
+    ("revue pipeline commercial", "youssef-partner-sales",
+     '[{"time":"14:00","note":"60+ leads stale sans action"},{"time":"14:30","note":"Deal Vistex bloqué addendum 21j"},{"time":"15:00","note":"Focus top 10 deals décidé"}]',
+     '[{"owner":"youssef","action":"Cleanup CRM >120j","due":"2026-04-25"},{"owner":"yacine","action":"Push Vistex","due":"2026-04-30"}]', 2, 60),
+    
+    ("infrastructure cloud+cybersec", "yacine-tech",
+     '[{"time":"11:00","note":"87 findings Nuclei sans triage"},{"time":"11:30","note":"Tickets Huawei attente 5j"},{"time":"12:00","note":"WAF CF false positive client bloqué 15min"}]',
+     '[{"owner":"security","action":"Triage findings 48h SLA","due":"2026-05-05"},{"owner":"cloud","action":"Template réponse Huawei standardisée","due":"2026-05-03"}]', 3, 60),
+    
+    ("campagne marketing Ethica", "marketing-lead",
+     '[{"time":"16:00","note":"Préparation campagne pharma 10k/jour"},{"time":"16:15","note":"Liste non-suppressée 15% bounces"},{"time":"16:45","note":"Posts LinkedIn/YT/Insta réécrits 4 fois"}]',
+     '[{"owner":"marketing","action":"Pre-flight suppression check","due":"2026-04-28"},{"owner":"content","action":"Template multi-channel 1-post-4-formats","due":"2026-05-08"}]', 3, 45),
+]
+cur.execute("DELETE FROM weval.gemba_walks WHERE tenant_id = %s", (T,))
+for g in gemba:
+    cur.execute("""INSERT INTO weval.gemba_walks (tenant_id, location, walker, observations, actions, muda_spotted, walk_duration_min, created_at)
+                   VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s,%s,NOW())""", (T,)+g)
+print(f"✅ Gemba: {len(gemba)} walks")
+
+# ═══════════════════════════════════════════════════════════════════
+# PDCA — 6 cycles couvrant 6 pôles
+# ═══════════════════════════════════════════════════════════════════
+pdca = [
+    ("Cash collection DSO 75j → 45j", "do",
+     '{"analysis":"DSO 75j vs 45j cible"}', '{"implementation":"Auto-relance J+30/45/60 + escompte 2pct"}',
+     '{}', '{}', "dso_days", 75, 45, 52),
+    ("Forecast commercial accuracy >80%", "check",
+     '{"analysis":"Forecast erreur 45pct"}', '{"implementation":"Scoring prob + review hebdo"}',
+     '{"measure":"78pct accuracy Q1"}', '{}', "forecast_accuracy_pct", 55, 85, 78),
+    ("Time-to-offer <21j", "act",
+     '{"analysis":"35j perd candidats"}', '{"implementation":"Scoring standardisé"}',
+     '{"measure":"22j Q1"}', '{"standardize":"Process figé tous rôles"}', "time_to_offer_days", 35, 21, 22),
+    ("Bench rate <10%", "plan",
+     '{"analysis":"15pct bench = 30k/mois manque-a-gagner"}', '{}', '{}', '{}', "bench_rate_pct", 15, 10, None),
+    ("Bounce rate Ethica <5%", "do",
+     '{"analysis":"15pct bounce campagnes"}', '{"implementation":"Pre-flight suppression strict"}',
+     '{}', '{}', "bounce_rate_pct", 15, 5, 8),
+    ("Modules formations déployés 20/20", "do",
+     '{"analysis":"0/20 live, 30k revenue potentiel"}', '{"implementation":"LMS deploy + marketing"}',
+     '{}', '{}', "modules_live", 0, 20, 5),
+]
+cur.execute("DELETE FROM weval.pdca_cycles WHERE tenant_id = %s", (T,))
+for p in pdca:
+    cur.execute("""INSERT INTO weval.pdca_cycles (tenant_id, title, phase, plan_data, do_data, check_data, act_data, kpi_name, baseline, target, actual, created_at, updated_at)
+                   VALUES (%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,%s,%s,NOW(),NOW())""", (T,)+p)
+print(f"✅ PDCA: {len(pdca)} cycles")
+
+# ═══════════════════════════════════════════════════════════════════
+# ANDON — alertes opérationnelles multi-pôles
+# ═══════════════════════════════════════════════════════════════════
+andon = [
+    ("delivery-CGI-ODI", "high", "Mission CGI timesheet Sara retard 8j - facturation 15k€ risque", "timesheet-monitor", "chouaib", 45, "resolved"),
+    ("sales-vistex-addendum", "medium", "Deal Vistex addendum leads 21j sans réponse Olga - risque Q2 slip", "crm-stale", None, None, "open"),
+    ("cash-OKP4", "medium", "Facture OKP4 impayée J+52 - dépasse seuil J+45", "billing-aging", None, None, "open"),
+    ("cybersec-nuclei", "high", "87 findings Nuclei non-triés 3 semaines backlog", "security-monitor", None, None, "open"),
+    ("marketing-ethica", "low", "Campagne pharma bounce 15% vs cible 5%", "deliverability", "marketing", 120, "resolved"),
+]
+cur.execute("DELETE FROM weval.andon_alerts WHERE tenant_id = %s", (T,))
+for a in andon:
+    cur.execute("""INSERT INTO weval.andon_alerts (tenant_id, station, severity, message, triggered_by, resolved_by, resolution_time_min, status, created_at, resolved_at)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,NOW() - INTERVAL '3 hours', CASE WHEN %s='resolved' THEN NOW() ELSE NULL END)""", (T,)+a+(a[-1],))
+print(f"✅ Andon: {len(andon)} alerts")
+
+# ═══════════════════════════════════════════════════════════════════
+# 5S — audits espaces WEVAL (physiques + digitaux)
+# ═══════════════════════════════════════════════════════════════════
+fives = [
+    ("bureau-Casablanca-open-space", 4, 3, 4, 4, 3, "yacine-partner", "Espace propre, docs papier à numériser"),
+    ("drive-google-shared", 3, 2, 4, 3, 3, "chouaib-delivery", "Arborescence incohérente clients/missions/templates"),
+    ("repo-github-weval", 5, 5, 5, 5, 5, "yacine-tech", "Top: triple-sync, 28 NR 153/153 stable"),
+    ("crm-pipeline", 3, 3, 3, 3, 3, "youssef-sales", "60+ leads stale à nettoyer, stages pas toujours respectées"),
+    ("sharepoint-docs-clients", 4, 4, 3, 4, 4, "chouaib-delivery", "Propre mais manque nettoyage périodique anciens projets"),
+]
+cur.execute("DELETE FROM weval.five_s_audits WHERE tenant_id = %s", (T,))
+for f in fives:
+    cur.execute("""INSERT INTO weval.five_s_audits (tenant_id, area, seiri, seiton, seiso, seiketsu, shitsuke, auditor, notes, created_at)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())""", (T,)+f)
+print(f"✅ 5S: {len(fives)} audits")
+
+# ═══════════════════════════════════════════════════════════════════
+# A3 — rapports problem-solving WEVAL
+# ═══════════════════════════════════════════════════════════════════
+a3 = [
+    ("A3 Cash collection DSO 75j → 45j",
+     "DSO WEVAL 75j vs cible 45j · impact cash flow · 110k€ encours >30j",
+     "75j · 3 factures >60j · relance manuelle téléphone", "<45j · 0 facture >60j · auto-relance",
+     "30j DSO · 110k€ bloqués",
+     '["Pas d auto-relance","Client non qualifié paiement","Pas escompte early payment"]',
+     '["Script auto J+30/45/60","Scoring client onboarding","Escompte 2pct <30j"]',
+     '{"week2":"dev script","week4":"pilot 3 clients","week8":"rollout"}',
+     '{"q1_2026":"DSO 52j progression OK"}', "yacine+youssef", "in-progress"),
+    
+    ("A3 Bench rate 15% → 10%",
+     "15pct bench trimestriel = 30k/mois manque-à-gagner",
+     "bench 15pct · 1 consultant 2 mois · pipeline faible", "<10pct · rotation <30j · pipeline robuste",
+     "5pts% · 10k/mois potentiel",
+     '["Pipeline faible","Consultants mal matchés","Prospection partners insuffisante"]',
+     '["Accélérer POC WEVIA/WEVADS","Matching algo","Revue hebdo Vistex/Huawei/Arrow"]',
+     '{"m1":"audit skills","m2":"5 POC","m3":"measure"}', '{}', "chafik-partner", "in-progress"),
+    
+    ("A3 Time-to-offer 35j → 21j",
+     "35j perd 35% talents dans process", "35j · 35pct abandon · scoring subjectif", "21j · <15pct · scoring 3 axes",
+     "14j · 6 candidats récupérables/an",
+     '["Scoring subjectif","Decision >J+14","Feedback lent"]',
+     '["Formulaire 3 axes","Decision J+7 max","Feedback auto J+1"]',
+     '{"w1":"form","w3":"pilot 5","w6":"rollout"}', '{"q1":"22j atteint"}', "hr-partner", "completed"),
+    
+    ("A3 Bounce rate Ethica 15% → 5%",
+     "Bounces pharma 15% affectent deliverability + reputation wevup.app",
+     "15pct bounce · liste non-suppressée · pas pre-flight", "<5pct · suppression strict · pre-flight auto",
+     "10pts% bounce · 10k€ waste annuel",
+     '["Liste non-nettoyée","Pas pre-flight","Hardbounces jamais purgés"]',
+     '["Pre-flight suppression J-1","Purge hebdo hardbounces","Double opt-in renforcé"]',
+     '{"w1":"script","w2":"pilot","w4":"rollout Ethica"}', '{}', "marketing-lead", "in-progress"),
+    
+    ("A3 Formations 0 → 20 modules live",
+     "20 modules formations stagnent Drive · 30k€/an revenue manqué",
+     "0 modules live · LMS inexistant · 0€ revenue formations", "20 modules · LMS déployé · 30k€/an",
+     "100% modules · 30k€ top-line",
+     '["LMS non-déployé","Pas marketing formations","Formateurs non-certifiés"]',
+     '["Deploy Moodle/Docker","Landing page formations","Certification formateurs SAP/Huawei"]',
+     '{"m1":"deploy LMS","m2":"5 modules live","m3":"marketing launch"}', '{}', "training+tech", "in-progress"),
+]
+cur.execute("DELETE FROM weval.a3_reports WHERE tenant_id = %s", (T,))
+for rep in a3:
+    cur.execute("""INSERT INTO weval.a3_reports (tenant_id, title, background, current_state, target_state, gap_analysis, root_causes, countermeasures, implementation_plan, follow_up, owner, status, created_at)
+                   VALUES (%s,%s,%s,%s,%s,%s,%s::jsonb,%s::jsonb,%s::jsonb,%s::jsonb,%s,%s,NOW())""", (T,)+rep)
+print(f"✅ A3: {len(a3)} reports")
+
+print("\n" + "="*60)
+print("🏆 Seed WEVAL Consulting 6 pôles d'expertise COMPLETED")
+print("="*60)
+
+for tbl in ['muda_entries','poka_yoke','kaizen_events','gemba_walks','pdca_cycles','andon_alerts','five_s_audits','a3_reports']:
+    cur.execute(f"SELECT COUNT(*) FROM weval.{tbl} WHERE tenant_id = %s", (T,))
+    print(f"  {tbl:22} count={cur.fetchone()[0]}")
+
+cur.close()
+conn.close()