Case studies and clients

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AI Revolution in Healthcare: Transforming Call Centers for Blue Cross Blue Shield

Blue Cross Blue Shield, a leading U.S. health insurance provider, faced call center inefficiencies. With 150,000+ employees nationwide, BCBS needed a solution to streamline operations and improve customer service in their complex, document-heavy environment.

AI-Powered Financial Revolution: Streamlining Credit Approvals for CAF

The Development Bank of Latin America and the Caribbean (CAF) is a multilateral banking leader with over $50 billion in assets. It serves 19 Latin American and Caribbean countries, Spain, Portugal, and 13 private banks, employing 2,000 people.

Empowering Innovation: AI-Driven Automation and Data Governance for Handy

Handy is a Uruguayan fintech founded in 2021, specializing in payment solutions for small and medium-sized businesses. Handy simplifies payment collection, allowing merchants to focus on growing their businesses. The fintech is expected to surpass 30,000 clients by the end of the year, positioning itself as a key player in Uruguay's electronic payment ecosystem.

We initiated the project by delivering training workshops for the Director team to align them with generative AI technologies. For operational teams, we facilitated hands-on workshops and one-on-one training sessions to support the implementation of AI-driven automation. Key achievements included automating multiple processes across various areas. Additionally, we managed the end-to-end data governance project, from ideation to implementation, which included successfully migrating all user accounts to a Microsoft-based system.

AI-Powered Forestry Revolution: Enhancing Operational Efficiency Through AI-Powered Automation

FAS is a service company for the forestry sector, specialized in creating and marketing raw materials.

It is based on three pillars: commercial activity, logistics activity, and forestry production.

Companies like Promptior offer an agile approach to incorporating Artificial Intelligence. Due to their still-small structure, they can move quickly and are constantly pushing the boundaries of the technological state of the art.

They provide short cycles of trial and error, allowing them to leverage technology to achieve innovative solutions to real and profound problems in a short amount of time.

This type of company brings a new, more agile, and less structured way of working, which can be just as effective as that of more established companies.

Marcel Jankelevich - Channel Sales Azure

Case studies and clients

We build Gen AI-driven tailored solutions for companies to boost their KPIs.

Transform Your Business with Generative AI

AI Revolution in Healthcare: Transforming Call Centers for Blue Cross Blue Shield

Blue Cross Blue Shield, a leading U.S. health insurance provider, faced call center inefficiencies. With 150,000+ employees nationwide, BCBS needed a solution to streamline operations and improve customer service in their complex, document-heavy environment.

BCBS's call center grappled with lengthy response times due to intricate medical documentation. Agents struggled to navigate thousands of contracts, leading to consultation delays, high turnover, and customer frustration. A scalable, efficient solution was urgently needed.

We developed a cutting-edge AI system leveraging generative AI, vector databases, and LangChain. This innovative solution processes complex medical inquiries in under 40 seconds, providing accurate, context-aware responses and transforming call center operations.

Our AI implementation slashed average response times by 90% - from 10 minutes to 30-60 seconds. Agent efficiency soared, enabling more inquiries handled per shift. Error rates plummeted thanks to AI-powered, precise information retrieval and comprehension.

AI-Powered Financial Revolution: Streamlining Credit Approvals for CAF

The Development Bank of Latin America and the Caribbean (CAF) is a multilateral banking leader with over $50 billion in assets. It serves 19 Latin American and Caribbean countries, Spain, Portugal, and 13 private banks, employing 2,000 people.

CAF faced a significant hurdle in creating a 90-page Operational Manual for credit evaluation. This process took 6-12 months and cost over $1 million annually, hindering efficient credit approvals and operational agility.

We developed an AI-based system using Microsoft's Azure cloud and Azure AI. It automates the creation of the complex 90-page Operational Manual by processing diverse 300+ page documents and generating personalized reports based on financial and contractual data.

The AI implementation saved CAF $1.4 million over 12 months. Manual creation time reduced from 6-12 months to one week. CAF achieved a bionic organization with AI adoption in daily operations. Microsoft recognized Promtior's expertise in this strategic partnership.

Empowering Innovation: AI-Driven Automation and Data Governance for Handy

AI-Powered Forestry Revolution: Enhancing Operational Efficiency Through AI-Powered Automation

Internal team training in automation tools and development of automations.

Automations:

Marcel Jankelevich - Channel Sales Azure

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