Medical Expenses AppÂ
National Insurance Institute (INS)
📍 Costa Rica – Insurance Sector
Context
Before working with iData, INS faced significant challenges managing medical expense documents. All information had to be manually transcribed into their system, leading to delays, errors caused by handwritten documents, and high operational costs due to the amount of staff required for this task.
The Challenge
INS needed to overcome slow manual processes and reduce the high rate of human errors affecting data accuracy. The reliance on operational resources for transcription limited the ability to allocate talent to strategic activities, resulting in unnecessary costs and reduced efficiency.
Technologies Applied
- Document Intelligence + OpenAIÂ
- Data Lake (Storage Account)Â
Solution
Significant results achieved in just 2 weeks
- 38 variables extracted with over 90% accuracy
- 25% to 40% reduction in processing time
- Development of a functional and intuitive application
Satisfied clients across multiple industries
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Frequently asked questions about Data & AI
What benefits does my company gain by implementing data and AI-based solutions?
By implementing data and artificial intelligence solutions, your company can make faster and more accurate decisions, automate processes, improve operational efficiency, reduce costs, and gain real-time visibility into business performance.
How can I tell if my company is ready for a data strategy?
Your company is ready if it handles large volumes of information, needs to improve decision-making, faces process inefficiencies, or requires greater operational visibility. During an initial consultation, we assess your data maturity level and define a tailored roadmap.
Do you work with companies across different industries?
Yes. iData supports organizations in sectors such as retail, logistics, technology, manufacturing, education, healthcare, and more. We adapt every solution to the specific context, challenges, and needs of each industry.
What sets iData apart from other data consulting firms?
We stand out by combining strategy, cutting-edge technology, automation, proven methodologies, and partnerships with global leaders such as Microsoft and Databricks. Our approach is comprehensive and results-driven.
How long does it take to implement a data or AI solution?
Timelines depend on the type of project, its complexity, and the company’s existing systems. However, most initial implementations can be delivered within 6 to 12 weeks, with visible progress from the early stages.
What type of support do you offer after implementation?
We provide ongoing support, monitoring, optimization, and strategic guidance to ensure the solution evolves alongside your business. Our expert team ensures the platform remains stable, secure, and aligned with your objectives.
