AI consulting produces a recommendation. AI implementation produces a working system. Most enterprise AI programs stall because they hire a consulting firm when they needed an implementation partner. FDE Team is the implementation partner that also owns strategy — so you do not pay twice.
The simplest way to think about it: consultants tell you what to build; implementation partners build it.
Hire FDE Team when you have decided to ship — not when you need a recommendation about whether to ship. Our engagements start the moment you have a use case worth proving in production.
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.
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.
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.
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.
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.