Outcomes & Case Studies

Real-world implementations that demonstrate measurable business impact. Each case study showcases how AI and cloud engineering solutions can transform enterprise operations, from natural language database interfaces to intelligent document processing systems.

SMBs2 weeks • Solo developer

AI-Powered Workflow Automation with n8n and LangChain

Organizations face inefficiencies in managing cross-platform workflows and repetitive tasks that consume valuable time. Traditional automation tools handle triggers and actions but lack the intelligence to make contextual decisions. Businesses need smarter systems that can reason, adapt, and integrate with existing APIs while remaining cost-effective and scalable.

This demo demonstrates the potential to reduce manual workflow management time by 80%, enable context-aware automation across tools without custom coding, scale AI-powered workflows across departments with minimal engineering overhead, and deliver intelligent automation rather than simple trigger-action pipelines.

n8nLangChainOpenAI API+3 more

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Financial Services3 weeks • Solo developer

NLP-to-SQL Interface for Enterprise Databases

Non-technical business users struggle to query complex financial databases, leading to 2-hour delays for simple reports, dependency on IT teams, and missed opportunities for real-time decision making. Traditional SQL requires technical expertise that business analysts don't have.

Demonstrates potential to reduce query time from 2 hours to 2 minutes, eliminate 80% of IT support tickets, and enable real-time business insights. The solution scales to handle enterprise-level database complexity while maintaining security and performance.

OpenAI APIPostgreSQLAWS+4 more

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Technology3 weeks • Solo developer

RAG-Powered Document Intelligence System

Organizations struggle with information retrieval from large document repositories, leading to hours spent searching through documents, inconsistent answers to questions, and knowledge workers unable to access critical information quickly. Traditional search methods lack context and accuracy.

Demonstrates potential to reduce information retrieval time from hours to seconds, provide 90%+ accuracy in answers, and enable instant access to organizational knowledge. The solution scales to handle enterprise document volumes while maintaining context and relevance.

OpenAI APILangChainSupabase+5 more

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