The client’s leadership understood the potential of AI—but lacked a strategy to make it usable, secure, and enterprise-aligned. They faced five core challenges:
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thinkbridge architected and implemented a modular AI system built around secure access, real-time data, and domain context orchestration.
This included:
We built OpenAPI-compatible plugins to securely connect ChatGPT with:
This allowed natural-language interactions such as:
We implemented a Retrieval-Augmented Generation (RAG) pipeline using:
This made internal documents—from policies to process guides—searchable via semantic queries.
ChatGPT now responded with relevant, cited content, like: “Who approves international relocation packages?” or “Summarize the background check escalation SOP.”
To reduce inference overhead, we implemented:
The results were both immediate and transformative:
What started as an uncontrolled experiment turned into a strategic AI capability—with momentum to scale.
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