Speed to production
Big Four engagements average 6–12 months from kickoff to a pilot. FDE Team ships production in 6–8 weeks through the LLM Foundry Pod.
FDE Team vs Big Four AI Practices
FDE Team vs Big Four AI Practices
Big Four AI practices (Deloitte, Accenture, EY, KPMG) are deck-first, top-heavy, and offshore-delivered. FDE Team is engineering-first, senior-only, and embedded in your repo. Here is the side-by-side.
Seniority of the delivery team
Big Four engagements bill senior partners and deliver with junior offshore teams. FDE Team is senior-only — top 3% acceptance — every engineer in your repo from week one.
Pricing model
Big Four bill hourly or by phase. FDE Team prices per pod per month, outcome-aligned, with a 2-week satisfaction guarantee.
Model strategy
Big Four lock to a single hyperscaler partnership. FDE Team is model-agnostic across Anthropic, OpenAI, and Google — picked per use case.
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 enterprise 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.