AI Implementation Partner

    The AI Implementation Partner That Ships in Weeks

    FDE Team is a Forward Deployed Engineering firm that operates as your AI implementation partner end-to-end — discovery, build, integrate, deploy, and operate. No slideware, no offshore handoffs, no eight-month roadmaps. A senior pod inside your repo, governed by your security and approval flows, shipping production AI on the surfaces your team already uses.

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    What an AI implementation partner actually owns

    Most "AI partners" sell strategy decks and disappear at the integration line. An implementation partner owns the full path from problem statement to a system your team uses on Monday morning.

    • Use-case discovery scoped to measurable business outcomes — not pilots that never ship.
    • Solution architecture across model, data, retrieval, evaluation, governance, and human-in-the-loop.
    • Hands-on engineering inside your codebase, your CI, your security perimeter.
    • Integration with the systems you already pay for: Salesforce, NetSuite, iManage, Ironclad, Workday, ServiceNow, your data warehouse.
    • Production hardening: observability, rate limiting, cost controls, evals, fallback paths, audit trails.
    • A human owner accountable for outcomes — not a Jira queue routed offshore.

    Why FDE Team is the AI implementation partner enterprises pick

    The Forward Deployed Engineering model was proven at Palantir and is now the standard for serious AI deployments at OpenAI, Anthropic, and the labs. We bring it to mid-market and enterprise teams that need outcomes, not posters.

    • Senior-only pods. Every engineer ships into production within week one.
    • On your stack. We learn your codebase, your data, your conventions — and we leave clean handoffs.
    • Permission-bound by default. MCP and SSO enforce your existing access controls.
    • Outcome SLAs, not staffing SLAs. We commit to the deliverable, not the hours.
    • A few weeks to first production deploy, measured from kickoff.

    How to choose an AI implementation partner (the short version)

    Use this checklist when you compare us against any other partner — including the big four and the boutique AI shops. If the answer to any of these is unclear, walk.

    • Will engineers commit code to my repo this month, or am I buying a deck?
    • Who is personally accountable if the agent regresses in production?
    • How does the partner enforce my data perimeter, my permissions, my audit log?
    • What are the evals — and do I own them when the engagement ends?
    • Can I see the production architecture they shipped for a comparable customer last quarter?
    • What is the path off the partner, not just onto them?

    AI implementation engagements we run today

    Cross-industry FDE pods deployed by FDE Team in the last twelve months — illustrative of the partnership shape, not the full client list.

    • Investment bank: pitchbook + comps agent deployed inside Excel and PowerPoint, governed by FactSet/Capital IQ entitlements.
    • AmLaw 100 firm: contract review agent on the firm playbook, integrated with iManage and Ironclad, redlines inside Word.
    • Fund administrator: GL reconciliation and NAV automation against books-of-record, with controller approval flow.
    • Healthcare payer: claims triage and prior-auth drafting on the EHR + claims platform, HIPAA-scoped.
    • Series B SaaS: customer-data + RAG-grounded support agent inside Zendesk and Slack with a full eval harness.

    Frequently asked questions

    What does "AI implementation partner" mean to FDE Team?

    A partner that owns delivery — code, infra, integrations, evals, governance, deployment, and ongoing operation — not just strategy. We embed senior engineers in your stack and ship to production within weeks.

    How is this different from an AI consulting firm?

    Consultants deliver recommendations. We deliver running systems. Most engagements include both, but the deliverable that matters is a deployed agent your team is using — and we are accountable for that outcome.

    How long does an AI implementation take?

    A few weeks to first production deploy is the norm. Larger rollouts (multi-team, multi-system) run 8–16 weeks for the v1 platform plus a steady-state operating cadence.

    How do you handle our security and data permissions?

    Permission-bound MCP connectors and SSO enforce your existing access controls. We work inside your perimeter, your VPC, your audit log. We do not bulk-export data.

    Can you choose this partner for a large-scale rollout?

    Yes. We staff additional pods in parallel for multi-business-unit and multi-region rollouts, with a single technical owner accountable across pods.

    Do you serve enterprises in the United States?

    Yes. FDE Team is US-based with engineers across major US time zones; we serve North American enterprises and global firms with US operations.

    Related resources

    AI Consulting PartnerAI Implementation ServicesAI Implementation AgencyEnterprise AI ImplementationForward Deployed EngineeringAI Business Partner — North AmericaForward Deployed Engineering TeamsHow It WorksIndustriesCase Studies

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