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Faster, Smarter, Simpler: Revolutionizing Budget Visibility with Generative AI for a Global Financial Enterprise

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.

August 7, 2025

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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.
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August 7, 2025
Financial Services
Revenue & Sales

Impulsar las operaciones financieras: reducción del 40% en horas de trabajo, eficiencia escalable para una institución financiera global

Un banco canadiense líder enfrentó altos costos de procesamiento de datos y tuvo dificultades para analizar conjuntos de datos masivos debido a la falta de una plataforma centralizada. Ellos buscaron soluciones para optimizar los flujos de trabajo y mejorar las capacidades avanzadas de análisis.
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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.
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December 13, 2024
Financial Services
AI Center of Excellence

Faster, Smarter, Simpler: Revolutionizing Budget Visibility with Generative AI for a Global Financial Enterprise

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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August 7, 2025
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Casos de estudio

Case Study: AI CoE

Faster, Smarter, Simpler: Revolutionizing Budget Visibility with Generative AI for a Global Financial Enterprise

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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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
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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.
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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.
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