Merge pull request #14 from sujucu70/claude/check-agent-readiness-status-Exnpc
Claude/check agent readiness status exnpc
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sujucu70
@@ -2429,7 +2429,7 @@ function TierQueueSection({
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<div className="px-5 py-3 border-b flex items-center justify-between text-sm" style={{ backgroundColor: config.bgColor + '40' }}>
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<div className="flex gap-4 flex-wrap">
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<span className="text-gray-600">
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{t('agenticReadiness.sections.volumeColon')} <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> {t('agenticReadiness.table.int')}/{t('agenticReadiness.table.perMonth').replace('/', '')}
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{t('agenticReadiness.sections.volumeColon')} <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> {t('agenticReadiness.table.int')}{t('agenticReadiness.table.perMonth')}
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</span>
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<span className="text-gray-600">
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{t('agenticReadiness.sections.costColon')} <strong className="text-gray-800">{formatCurrency(totalCost)}</strong>{t('agenticReadiness.table.perYear')}
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@@ -2675,7 +2675,7 @@ function HumanOnlyByReasonSection({ drilldownData, redFlagConfigs, t }: { drilld
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{/* Resumen */}
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<div className="px-5 py-3 border-b bg-gray-50 flex items-center justify-between text-sm">
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<span className="text-gray-600">
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{t('agenticReadiness.humanOnlyReasons.volumeTotal')} <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> {t('agenticReadiness.table.int')}/{t('agenticReadiness.table.perMonth').replace('/', '')}
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{t('agenticReadiness.humanOnlyReasons.volumeTotal')} <strong className="text-gray-800">{totalVolume.toLocaleString()}</strong> {t('agenticReadiness.table.int')}{t('agenticReadiness.table.perMonth')}
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</span>
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<span className="text-gray-500">
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{t('agenticReadiness.summary.requiresIntervention')}
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@@ -1071,19 +1071,19 @@ function WaveCard({
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<div className="bg-gray-100 px-3 py-2 border-b border-gray-200">
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<p className="text-xs font-semibold text-gray-700 flex items-center gap-1">
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<Target className="w-3.5 h-3.5 text-blue-500" />
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Top Colas por Volumen × Impacto
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{t('roadmap.table.topQueuesByVolumeImpact')}
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</p>
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</div>
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<div className="overflow-x-auto">
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<table className="w-full text-[10px]">
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<thead className="bg-gray-50">
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<tr>
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<th className="text-left py-1.5 px-2 font-medium text-gray-500">Cola</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">Vol/mes</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">Score</th>
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<th className="text-center py-1.5 px-2 font-medium text-gray-500">Tier</th>
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<th className="text-left py-1.5 px-2 font-medium text-gray-500">Red Flags</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">Potencial</th>
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<th className="text-left py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.queue')}</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.volPerMonth')}</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.score')}</th>
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<th className="text-center py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.tier')}</th>
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<th className="text-left py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.redFlags')}</th>
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<th className="text-right py-1.5 px-2 font-medium text-gray-500">{t('roadmap.table.potential')}</th>
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</tr>
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</thead>
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<tbody>
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@@ -2580,15 +2580,13 @@ export function RoadmapTab({ data }: RoadmapTabProps) {
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<div className="p-4 space-y-4">
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{/* ENFOQUE DUAL: Párrafo explicativo */}
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{recType === 'DUAL' && (
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<p className="text-sm text-gray-600 leading-relaxed">
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La Estrategia Dual consiste en ejecutar dos líneas de trabajo en paralelo:
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<strong className="text-gray-800"> Quick Win</strong> automatiza inmediatamente las {pilotQueues.length} colas
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ya preparadas (Tier AUTOMATE, {Math.round(totalVolume > 0 ? (tierVolumes.AUTOMATE / totalVolume) * 100 : 0)}% del volumen), generando retorno desde el primer mes;
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mientras que <strong className="text-gray-800">Foundation</strong> prepara el {Math.round(assistPct + augmentPct)}%
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restante del volumen (Tiers ASSIST y AUGMENT) estandarizando procesos y reduciendo variabilidad para habilitar
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automatización futura. Este enfoque maximiza el time-to-value: Quick Win financia la transformación y genera
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confianza organizacional, mientras Foundation amplía progresivamente el alcance de la automatización.
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</p>
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<p className="text-sm text-gray-600 leading-relaxed" dangerouslySetInnerHTML={{
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__html: t('roadmap.dualStrategy.explanation', {
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count: pilotQueues.length,
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pct: Math.round(totalVolume > 0 ? (tierVolumes.AUTOMATE / totalVolume) * 100 : 0),
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remaining: Math.round(assistPct + augmentPct)
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})
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}} />
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)}
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{/* FOUNDATION PRIMERO */}
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@@ -819,6 +819,9 @@
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"executeWave12": "Execute Wave 1-2 sequentially",
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"executeWave12Rationale": "Mixed operation: {{automate}} Tier 1 queues, {{assist}} Tier 2, {{augment}} Tier 3, {{human}} Tier 4.",
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"executeWave12NextStep": "Start with FOUNDATION to eliminate red flags, followed by AUGMENT to raise scores. Initial investment: {{amount}}."
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},
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"dualStrategy": {
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"explanation": "The Dual Strategy consists of executing two parallel work streams: <strong>Quick Win</strong> immediately automates the {{count}} ready queues (Tier AUTOMATE, {{pct}}% of volume), generating returns from the first month; while <strong>Foundation</strong> prepares the remaining {{remaining}}% of volume (Tiers ASSIST and AUGMENT) by standardizing processes and reducing variability to enable future automation. This approach maximizes time-to-value: Quick Win finances the transformation and generates organizational confidence, while Foundation progressively expands the scope of automation."
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}
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},
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"opportunities": {
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@@ -819,6 +819,9 @@
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"executeWave12": "Ejecutar Wave 1-2 secuencialmente",
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"executeWave12Rationale": "Operación mixta: {{automate}} colas Tier 1, {{assist}} Tier 2, {{augment}} Tier 3, {{human}} Tier 4.",
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"executeWave12NextStep": "Comenzar con FOUNDATION para eliminar red flags, seguido de AUGMENT para elevar scores. Inversión inicial: {{amount}}."
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},
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"dualStrategy": {
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"explanation": "La Estrategia Dual consiste en ejecutar dos líneas de trabajo en paralelo: <strong>Quick Win</strong> automatiza inmediatamente las {{count}} colas ya preparadas (Tier AUTOMATE, {{pct}}% del volumen), generando retorno desde el primer mes; mientras que <strong>Foundation</strong> prepara el {{remaining}}% restante del volumen (Tiers ASSIST y AUGMENT) estandarizando procesos y reduciendo variabilidad para habilitar automatización futura. Este enfoque maximiza el time-to-value: Quick Win financia la transformación y genera confianza organizacional, mientras Foundation amplía progresivamente el alcance de la automatización."
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}
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},
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"opportunities": {
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