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KPMG Despliega Más de 150 Automatizaciones para Generar un Impacto Inmediato de $90M

KPMG se asoció con Automation Anywhere para desplegar agentes de IA y automatización de procesos agéntica en flujos de trabajo de reclutamiento, RRHH, finanzas y contabilidad, logrando un impacto inmediato de $90 millones e identificando $150 millones en oportunidades de automatización futuras.

Impacto

$90 million

immediate_impact

$150 million

future_opportunities

$50 million

back_order_reduction

$30 million

dso_reduction

150+

automations_delivered

Desafío

KPMG necesitaba optimizar las operaciones y eliminar ineficiencias en los procesos de reclutamiento, RRHH y finanzas, mientras gestionaba una acumulación creciente de tareas manuales que ralentizaban la experiencia de los candidatos y las operaciones financieras.

Solución

Desplegó agentes de IA de Automation Anywhere, Automatización de Documentos y el Sistema de Automatización de Procesos Agéntica para automatizar los flujos de trabajo de reclutamiento, diseño de capacitación, y finanzas y contabilidad en toda la organización.

Herramientas y tecnologías

Lo que dicen los líderes

We have tons of AI agents and skills available, but the process is yours. You decide what skills to use and where.

, Executive Director, Automation and Gen AI CoE
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Historia completa

KPMG, una de las cuatro grandes firmas de servicios profesionales, lanzó una iniciativa integral de automatización para eliminar ineficiencias en sus operaciones. Comenzando con el reclutamiento para reducir demoras y mejorar la experiencia de los candidatos, el equipo amplió la automatización al diseño de capacitación, contabilidad y finanzas. Utilizando los agentes de IA de Automation Anywhere, la Automatización de Documentos y el Sistema de Automatización de Procesos Agéntica, KPMG entregó más de 150 automatizaciones. El programa produjo $90 millones en impacto financiero inmediato, incluyendo una reducción de $50 millones en órdenes pendientes y $30 millones menos en días de ventas pendientes, mientras identificaba $150 millones en oportunidades de automatización futuras.

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