How to Choose an AI Implementation Partner

    How to Choose an AI Implementation Partner

    Choosing the right AI implementation partner is the single highest-leverage decision in an enterprise AI program. Pick wrong and you spend a year producing decks. Pick right and you ship production AI in 6–8 weeks. Here is the 7-point checklist FDE Team customers use — and why FDE Team scores 7/7.

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    The 7-point checklist

    Use these seven questions in every vendor evaluation. Any partner that fails three or more will not ship.

    • 1. Are the engineers senior, in your repo, and accountable for outcomes?
    • 2. Can they ship a working production use case in 6–8 weeks?
    • 3. Are they model-agnostic across Claude, GPT, and Gemini?
    • 4. Do they price on outcomes — not hours?
    • 5. Do they hand over full IP, code, and runbooks?
    • 6. Do they bake in evaluations, observability, and governance from day one?
    • 7. Will they convert to direct-hire after 6 months if you want?

    How FDE Team scores

    FDE Team meets all seven. The Forward Deployed Engineering model — proven at Palantir, OpenAI, and Anthropic — is the only one designed end-to-end to ship enterprise AI in production.

    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 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.

    Related resources

    Best AI Implementation Partner in the USATop AI Consulting Firms in the USAAI Implementation Partner CostAI Implementation vs AI ConsultingEnterprise AI Deployment PartnerClaude Implementation Partner

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