GenAI Studio in 90 Days
This case highlights how a global fintech enterprise transformed its GenAI vision into a production-grade innovation studio within 90 days — delivering measurable impact through rapid execution, scalable architecture, and AI-ready teams.
Challenge
The client's GenAI strategy was stalled at the planning stage, with no scalable execution roadmap. Internal teams lacked the LLMOps expertise to move from experimentation to production, and GenAI investments risked becoming sunk costs without a clear path to value.
Solution
Parkar launched a fully operational GenAI Studio in 90 days, including:
- Production-grade pipelines using LangChain and Pinecone
- Azure OpenAI integration for secure enterprise deployment
- Upskilling 50+ engineers in LLMOps and GenAI practices
Key Results
- 3x faster time-to-value on AI use cases
- 20% increase in retention among upskilled talent
- Full studio transitioned to internal teams with zero disruption
From Vision to Production in 90 Days
Parkar deployed a cross-functional team of GenAI engineers, cloud architects, and LLMOps specialists who worked in rapid sprint cycles to build, test, and deploy the full studio.
The approach prioritized production readiness over proof-of-concept, ensuring every component — from vector stores to prompt orchestration — was enterprise-grade from day one.
Production-grade AI Pipelines
LangChain + Pinecone vector DB for scalable, retrieval-augmented generation workflows.
Azure OpenAI Integration
Secure, compliant enterprise deployment leveraging Azure's native AI services and guardrails.
50+ Engineer Upskilling
Structured LLMOps training and certification program enabling full handover to internal teams.
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