Enterprise Hardens GPT Workflows into Production-Ready Agents
Confidentiality Note: Organization identity anonymized. Internal systems and department-specific details protected.
The Full Story
This organization had ambitious product managers who saw the potential of AI early. They'd built custom GPTs in ChatGPT for various department workflows: HR onboarding assistants, legal document summarizers, finance report generators. The problem? These GPTs worked great in demos but behaved unpredictably in real use. Sometimes they'd hallucinate, sometimes they'd forget context, and there was no way to guarantee consistent output.
We came in and took their GPT concepts (which captured real business value) and rebuilt them as proper agentic workflows. Using OpenAI's agent SDKs, we added explicit workflow logic, guardrails for output validation, error handling, and retry mechanisms. The original GPTs became the blueprints; our hardened agents became the production systems. Now each department has reliable AI tools that deliver consistent results every time.
The Challenge
Ambitious product managers had built custom GPTs for various department workflows but couldn't get them to behave predictably in production. The GPTs worked in demos but failed inconsistently when deployed, and the organization needed reliable, governed AI tools they could trust.
Our Solution
We took their existing GPT workflows and transformed them into hardened agentic workflows with proper guardrails. Using OpenAI's agent SDKs, we rebuilt their GPT use cases with explicit workflow logic, error handling, and predictable behavior. Each department got production-ready agents based on their original GPT concepts.
GPT to Production Agent Pipeline
Converting unreliable GPTs into hardened agentic workflows with guardrails
The Result
GPTs Hardened into Production Agents
“Our product managers had great ideas but the GPTs weren't reliable. Now we have real agents that work every time.”