Opus-Yacine 82cc6b362a
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V68 FULL COVERAGE WTP englobe TOUT lecosysteme — 12 sub-modules ajoutes dans /api/weval-technology-platform-api.php (35.7KB->38KB +2.2KB) pour couvrir 14 pages orphelines: commerce (v65_offer/v66_atlas/v67_simulator) + intelligence (paperclip-hub+paperclip) + operations (tasks-live+opus5) + marketing (wevads-hub+wevads-performance) + supply (weval-data-hub) + rnd_labs (agents-hd2) + development (l99-saas) + knowledge (methodologie+weval-wiring). Diagnostic avant: 234 pages HTML S204 vs 222 WTP = 28 orphelines detectees (16 vraies apres exclusion 12 pages systeme login/404/backup/auth/index/golive/maintenance/nonreg-old). Resultat: modules=16 inchange, submodules 140->152 (+12), pages referenced 222->236 (+14), ORPHELINES=0. Marker V68-FULL-COVERAGE idempotent. GOLD preserved. PHP lint OK + FPM reload. Playwright E2E 0 JS errors: VM dashboard=1 gauges=4 home-modules=16 nav=17 Commerce click OK. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153 L99 153/153 OSS skills 5437. Plan-action 877 lignes a jour avec relecture complete 9 sessions (0010 doctrine-90-v2 / 0030 V3-massive-deep / 0035 V62-wevia-autonomie / 0045 V63-front-acquired-dashboard / 0055 WTP-visual-mgmt / 0105 V64-depts-kpi / 0115 V65-erp-gapfill / 0120 V66-painpoints-atlas / 0125 V67-roi-simulator / 0135 V68-full-coverage). Zero regression zero suppression zero fake zero hardcode zero ecrasement zero send-mail-auto.
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V67 ROI SIMULATOR Agent-by-Agent (Quanti+Quali) — Backend /api/wevia-v67-roi-simulator.php (16.6KB) enrichit V66 35 agents avec: 6 axes qualitatifs 0-5 (time_fte_saved/risk_reduction/compliance_uplift/cx_impact/brand_score/strategic_value) + composite score normalisé 0-100 + payback_months (2-6) + effort_md (30-90) + complexity (2-5) + risk_of_failure (1-3) + dependencies + implementation_cost (MD x 1200€) + npv_3y_baseline + roi_ratio_3y + roi_curve_12m ramp-up. Scaling factors: 4 company sizes (PME 0.35x/ETI 1x/Grande 2.4x/Groupe 5.5x) + 3 maturité IA (low 1.3x gap++/med 1x/high 0.6x) + 9 verticaux (banque 1.4x peak/pharma 1.25x/énergie 1.3x/industrie 1.2x/retail 1.1x/services 1x/conseil 0.9x/tech 0.8x/public 0.7x) + amplification 1.25x si dept match amplified_depts du vertical. Page /agent-roi-simulator.html (27.7KB) 3 colonnes: params gauche (size pills/maturity pills/vertical select/mult display) + centre (4 quick stats + dept filter bar 10 + select all/none + 35 agent cards avec checkbox/pain/complexity badges/savings scaled/quali 100/payback) + droite sticky (pack KPIs 4 + radar SVG 6 axes polygone + courbe ROI SVG 12m gradient area + export JSON prospect). Playwright E2E 100%% PASS 0 JS errors: 35 agents + 4+3+10+10 controls + select all 17.36M baseline -> size=large 41.66M -> maturity=low 54.16M -> vertical=banque 4.37x 82.99M (math correcte), radar 6 points, dept finance filter 6 agents, select/deselect/re-select OK. Quali avg pack sélectionné 73/100. WTP Row 8 enrichi avec CTA 3e V67 Simulator. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153. Zero regression. Use cases commercial: discovery meeting, POC pricing, rollout business case, board radar.
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V67 ROI SIMULATOR Agent-by-Agent (Quanti+Quali) — Backend /api/wevia-v67-roi-simulator.php (16.6KB) enrichit V66 35 agents avec: 6 axes qualitatifs 0-5 (time_fte_saved/risk_reduction/compliance_uplift/cx_impact/brand_score/strategic_value) + composite score normalisé 0-100 + payback_months (2-6) + effort_md (30-90) + complexity (2-5) + risk_of_failure (1-3) + dependencies + implementation_cost (MD x 1200€) + npv_3y_baseline + roi_ratio_3y + roi_curve_12m ramp-up. Scaling factors: 4 company sizes (PME 0.35x/ETI 1x/Grande 2.4x/Groupe 5.5x) + 3 maturité IA (low 1.3x gap++/med 1x/high 0.6x) + 9 verticaux (banque 1.4x peak/pharma 1.25x/énergie 1.3x/industrie 1.2x/retail 1.1x/services 1x/conseil 0.9x/tech 0.8x/public 0.7x) + amplification 1.25x si dept match amplified_depts du vertical. Page /agent-roi-simulator.html (27.7KB) 3 colonnes: params gauche (size pills/maturity pills/vertical select/mult display) + centre (4 quick stats + dept filter bar 10 + select all/none + 35 agent cards avec checkbox/pain/complexity badges/savings scaled/quali 100/payback) + droite sticky (pack KPIs 4 + radar SVG 6 axes polygone + courbe ROI SVG 12m gradient area + export JSON prospect). Playwright E2E 100%% PASS 0 JS errors: 35 agents + 4+3+10+10 controls + select all 17.36M baseline -> size=large 41.66M -> maturity=low 54.16M -> vertical=banque 4.37x 82.99M (math correcte), radar 6 points, dept finance filter 6 agents, select/deselect/re-select OK. Quali avg pack sélectionné 73/100. WTP Row 8 enrichi avec CTA 3e V67 Simulator. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153. Zero regression. Use cases commercial: discovery meeting, POC pricing, rollout business case, board radar.
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V67 ROI SIMULATOR Agent-by-Agent (Quanti+Quali) — Backend /api/wevia-v67-roi-simulator.php (16.6KB) enrichit V66 35 agents avec: 6 axes qualitatifs 0-5 (time_fte_saved/risk_reduction/compliance_uplift/cx_impact/brand_score/strategic_value) + composite score normalisé 0-100 + payback_months (2-6) + effort_md (30-90) + complexity (2-5) + risk_of_failure (1-3) + dependencies + implementation_cost (MD x 1200€) + npv_3y_baseline + roi_ratio_3y + roi_curve_12m ramp-up. Scaling factors: 4 company sizes (PME 0.35x/ETI 1x/Grande 2.4x/Groupe 5.5x) + 3 maturité IA (low 1.3x gap++/med 1x/high 0.6x) + 9 verticaux (banque 1.4x peak/pharma 1.25x/énergie 1.3x/industrie 1.2x/retail 1.1x/services 1x/conseil 0.9x/tech 0.8x/public 0.7x) + amplification 1.25x si dept match amplified_depts du vertical. Page /agent-roi-simulator.html (27.7KB) 3 colonnes: params gauche (size pills/maturity pills/vertical select/mult display) + centre (4 quick stats + dept filter bar 10 + select all/none + 35 agent cards avec checkbox/pain/complexity badges/savings scaled/quali 100/payback) + droite sticky (pack KPIs 4 + radar SVG 6 axes polygone + courbe ROI SVG 12m gradient area + export JSON prospect). Playwright E2E 100%% PASS 0 JS errors: 35 agents + 4+3+10+10 controls + select all 17.36M baseline -> size=large 41.66M -> maturity=low 54.16M -> vertical=banque 4.37x 82.99M (math correcte), radar 6 points, dept finance filter 6 agents, select/deselect/re-select OK. Quali avg pack sélectionné 73/100. WTP Row 8 enrichi avec CTA 3e V67 Simulator. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153. Zero regression. Use cases commercial: discovery meeting, POC pricing, rollout business case, board radar.
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V67 ROI SIMULATOR Agent-by-Agent (Quanti+Quali) — Backend /api/wevia-v67-roi-simulator.php (16.6KB) enrichit V66 35 agents avec: 6 axes qualitatifs 0-5 (time_fte_saved/risk_reduction/compliance_uplift/cx_impact/brand_score/strategic_value) + composite score normalisé 0-100 + payback_months (2-6) + effort_md (30-90) + complexity (2-5) + risk_of_failure (1-3) + dependencies + implementation_cost (MD x 1200€) + npv_3y_baseline + roi_ratio_3y + roi_curve_12m ramp-up. Scaling factors: 4 company sizes (PME 0.35x/ETI 1x/Grande 2.4x/Groupe 5.5x) + 3 maturité IA (low 1.3x gap++/med 1x/high 0.6x) + 9 verticaux (banque 1.4x peak/pharma 1.25x/énergie 1.3x/industrie 1.2x/retail 1.1x/services 1x/conseil 0.9x/tech 0.8x/public 0.7x) + amplification 1.25x si dept match amplified_depts du vertical. Page /agent-roi-simulator.html (27.7KB) 3 colonnes: params gauche (size pills/maturity pills/vertical select/mult display) + centre (4 quick stats + dept filter bar 10 + select all/none + 35 agent cards avec checkbox/pain/complexity badges/savings scaled/quali 100/payback) + droite sticky (pack KPIs 4 + radar SVG 6 axes polygone + courbe ROI SVG 12m gradient area + export JSON prospect). Playwright E2E 100%% PASS 0 JS errors: 35 agents + 4+3+10+10 controls + select all 17.36M baseline -> size=large 41.66M -> maturity=low 54.16M -> vertical=banque 4.37x 82.99M (math correcte), radar 6 points, dept finance filter 6 agents, select/deselect/re-select OK. Quali avg pack sélectionné 73/100. WTP Row 8 enrichi avec CTA 3e V67 Simulator. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153. Zero regression. Use cases commercial: discovery meeting, POC pricing, rollout business case, board radar.
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V67 ROI SIMULATOR Agent-by-Agent (Quanti+Quali) — Backend /api/wevia-v67-roi-simulator.php (16.6KB) enrichit V66 35 agents avec: 6 axes qualitatifs 0-5 (time_fte_saved/risk_reduction/compliance_uplift/cx_impact/brand_score/strategic_value) + composite score normalisé 0-100 + payback_months (2-6) + effort_md (30-90) + complexity (2-5) + risk_of_failure (1-3) + dependencies + implementation_cost (MD x 1200€) + npv_3y_baseline + roi_ratio_3y + roi_curve_12m ramp-up. Scaling factors: 4 company sizes (PME 0.35x/ETI 1x/Grande 2.4x/Groupe 5.5x) + 3 maturité IA (low 1.3x gap++/med 1x/high 0.6x) + 9 verticaux (banque 1.4x peak/pharma 1.25x/énergie 1.3x/industrie 1.2x/retail 1.1x/services 1x/conseil 0.9x/tech 0.8x/public 0.7x) + amplification 1.25x si dept match amplified_depts du vertical. Page /agent-roi-simulator.html (27.7KB) 3 colonnes: params gauche (size pills/maturity pills/vertical select/mult display) + centre (4 quick stats + dept filter bar 10 + select all/none + 35 agent cards avec checkbox/pain/complexity badges/savings scaled/quali 100/payback) + droite sticky (pack KPIs 4 + radar SVG 6 axes polygone + courbe ROI SVG 12m gradient area + export JSON prospect). Playwright E2E 100%% PASS 0 JS errors: 35 agents + 4+3+10+10 controls + select all 17.36M baseline -> size=large 41.66M -> maturity=low 54.16M -> vertical=banque 4.37x 82.99M (math correcte), radar 6 points, dept finance filter 6 agents, select/deselect/re-select OK. Quali avg pack sélectionné 73/100. WTP Row 8 enrichi avec CTA 3e V67 Simulator. WEVIA Master chat integrate-all-confirmed 10 layers live NonReg 153/153. Zero regression. Use cases commercial: discovery meeting, POC pricing, rollout business case, board radar.
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Description
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4.6 GiB
Languages
HTML 57.2%
PHP 28.5%
JavaScript 6.3%
Shell 5.4%
Python 2.1%
Other 0.5%