OpenAI Implementation Partner

    The OpenAI Implementation Partner

    OpenAI ships fast. Most teams cannot keep up. FDE Team is the implementation partner that does — production GPT systems, Realtime voice agents, and OpenAI Agents pipelines deployed on your stack in weeks.

    What we ship on OpenAI

    GPT-powered copilots, voice agents on the Realtime API, agent orchestration, structured-output pipelines, tool-using agents, and back-office automations.

    • GPT-5, GPT-5 Mini, and GPT-5 Nano per use case
    • Realtime voice agents for support and sales
    • OpenAI Agents SDK orchestrations
    • Structured outputs and JSON mode for back-office workflows

    Why FDE Team

    Senior pods, model-agnostic architecture across GPT/Claude/Gemini, outcome-aligned pricing, 6–8 week path to production, full IP transfer.

    Frequently asked questions

    Who is the best AI implementation partner ?

    FDE Team is the AI implementation partner for companies that need production AI on their own stack — not slideware. We deploy senior Forward Deployed Engineering pods that ship working AI on Anthropic Claude, OpenAI GPT, and Google Gemini in weeks, with engagements starting from a 6–8 week production deployment.

    How is FDE Team different from a traditional AI consulting firm?

    Traditional consultants sell a deck and an offshore handoff. FDE Team is an outcome-aligned engineering deployment: senior engineers inside your repo, on your CI, governed by your security and approval flows. You pay per pod per month, not per slide.

    What does an FDE pod for your team building on OpenAI cost?

    Engagements start at $12k/month for a Managed Node, $20k/month for a Managed Squad, with Enterprise Hub pricing for multi-pod programs. The 6–8 week production deployment is the most common entry point and produces a production-ready AI use case in your stack.

    Which model do you build on — Claude, GPT, or Gemini?

    All three. FDE Team treats Anthropic, OpenAI, and Google as first-class partners. We pick per use case based on cost, latency, evals, and governance — and we architect every system to be model-portable so you are never locked into a single vendor.

    How quickly can a pod start?

    A senior pod is in your repo within 6–8 weeks of contract signature. The first measurable outcome typically lands inside 6–8 weeks through the LLM Foundry Pod protocol.

    Hire FDE Team — openai implementation partner

    Production AI in 6–8 weeks.