Enterprise AI Implementation

    Enterprise AI Implementation, Hub-and-Spoke

    For enterprises rolling AI across multiple business units, FDE Team runs a hub-and-spoke implementation: a shared platform for evals, governance, and observability, plus dedicated pods that own each business unit's use cases on top.

    The hub: a shared AI platform you control

    Vendor-portable, governed, observable. Built in your environment, owned by your platform team.

    • Model gateway with cost and rate controls per tenant.
    • Eval harness shared across business units.
    • Permission-bound MCP connectors to systems of record.
    • Audit trail for every tool call.

    The spokes: business-unit pods that ship

    Each pod owns a use-case backlog, ships into production weekly, and reports against business outcomes — not engineering velocity.

    How to choose an AI implementation partner for a large-scale rollout

    For multi-BU rollouts you need a partner that can staff multiple pods with consistent senior bar, share a platform across them, and report unified metrics. That is the FDE Team default.

    Frequently asked questions

    How to choose an AI implementation partner for a large-scale rollout?

    Pick one that staffs multiple senior pods, ships into a shared platform, enforces unified governance, and reports outcomes per business unit. Ask to see the platform and a deployed spoke from a comparable customer.

    How long does enterprise AI implementation take?

    Platform + first spoke: 8–12 weeks. Additional spokes: 4–8 weeks each, in parallel.

    Hire FDE Team as your enterprise ai implementation

    A senior pod in your stack within days. Production AI in weeks.