Case Studies

Recent Case Study

Advancing Accuracy and Scalability through Smart Data Capture: From Manual to AI Efficiency

A global enterprise faced inefficiencies due to manual, repetitive data entry and disconnected data sources. These challenges slowed workflows, increased the risk of errors, and reduced the time available for high-value activities. The company aimed to implement an AI-driven solution to automate data capture, improve accuracy, and create a scalable, i

August 19, 2025

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Technology & Communications
AI Center of Excellence
Data Engineering and Analytics

Relanto logra una reducción de error del 95% y un aumento de productividad de ventas 5 veces para un líder multinacional de comunicaciones digitales

Una empresa multinacional de comunicaciones digitales enfrentó errores de entrada de datos por parte de los representantes de ventas, lo que impactó en las actualizaciones de CRM y la visibilidad del liderazgo. Buscaron una solución avanzada de IA de conversación con bots para automatizar tareas y garantizar información precisa y oportuna.
December 13, 2024
Technology & Communications
Data Engineering and Analytics

Relanto mejora la calidad de los datos y el reporting de KPI en tiempo real para una empresa líder de alta tecnología con herramientas avanzadas de BI

Un cliente líder en alta tecnología enfrentó problemas con la calidad y puntualidad de KPI en su BI y largos tiempos de respuesta por dependencia de TI. Buscaban un socio estratégico para transformar su BI mediante una sólida canalización de datos y una única fuente de verdad (SSOT) para agilizar informes y mejorar la precisión.
December 13, 2024
Technology & Communications
AI Center of Excellence

Enabling Accurate, Scalable Data Capture for a Global Enterprise’s Marketing Function

A global enterprise struggled with tedious, manual data entry and disconnected data sources, hindering marketing efficiency. They aimed to implement an AI-driven solution to streamline data capture, reduce errors, and enable teams to focus on strategic initiatives.
August 7, 2025
Technology & Communications
AI Center of Excellence

AI-Powered Conversational Analytics and RAG Transform Global Partner Performance: From Fragmented Data to AI Clarity

A global partner network aimed to transform traditional scorecards into an AI-driven insights platform. Fragmented metrics and surface-level dashboards caused confusion, low adoption, and reliance on analysts. The goal was a unified solution that explains performance drivers, delivers personalized recommendations, and scales across regions.
August 19, 2025
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Casos de estudio

Case Study: AI CoE

Advancing Accuracy and Scalability through Smart Data Capture: From Manual to AI Efficiency

A global enterprise faced inefficiencies due to manual, repetitive data entry and disconnected data sources. These challenges slowed workflows, increased the risk of errors, and reduced the time available for high-value activities. The company aimed to implement an AI-driven solution to automate data capture, improve accuracy, and create a scalable, i
Case Study: AI CoE

AI-Powered Conversational Analytics and RAG Transform Global Partner Performance: From Fragmented Data to AI Clarity

A global partner network aimed to transform traditional scorecards into an AI-driven insights platform. Fragmented metrics and surface-level dashboards caused confusion, low adoption, and reliance on analysts. The goal was a unified solution that explains performance drivers, delivers personalized recommendations, and scales across regions.
Case Study: AI CoE

Transforming Customer Support with R-CaseAssist: Scalable Automation Through AI: Driving Efficiency with AI

A HiTech company faced rising costs and support delays due to manual case handling and underused unstructured data. Relanto proposed R-CaseAssist, an AI-powered solution that automates triage, optimizes ticket routing, and enables faster, accurate, and compliant customer support at scale.
Case Study: AI CoE

Faster, Smarter, Simpler: Revolutionizing Budget Visibility with Generative AI

A global financial enterprise faced challenges with fragmented data systems and manual insight generation, slowing down strategic decision-making. They sought an AI-powered solution to unify access, simplify financial queries, and deliver real-time budget and ROI insights.
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