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Real-world scenarios where our finance-first approach delivered measurable operational improvements.
From accelerating month-end close cycles to deploying enterprise AI, we focus on outcomes that matter to the CFO and COO.
A regional retail group operating multiple brands across Oracle EBS faced a 12–15 day month-end close cycle driven by manual bank reconciliation, POS-to-ERP mismatches, and intercompany matching errors across four entities.
Automated reconciliation engine, POS-to-ERP data pipeline, and exception management workflows — all built on their existing Oracle infrastructure.
* Metrics represent typical outcome ranges.
A growing GCC e-commerce brand struggled with content production volume across five social platforms, inconsistent brand voice, and limited visibility into audience behavior and emerging trends in their category.
AI-powered content automation, social analytics platform with sentiment and trend intelligence, and an AI chatbot trained on product catalog and brand data.
* Metrics represent typical outcome ranges.
Processing 5,000+ monthly vendor invoices manually led to payment delays, duplicate payments, and strained vendor relationships.
Deployed an intelligent AP automation layer with OCR extraction, 3-way matching against POs/GRNs, and automated approval routing.
* Metrics represent typical outcome ranges.
Manual scheduling for 2,000+ clinical staff across 3 locations resulted in frequent overtime costs, understaffing during peak hours, and staff burnout.
Implemented an AI-driven workforce management system that predicts patient volume and optimizes shift allocation dynamically.
* Metrics represent typical outcome ranges.