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Regulated LLM Deployment

A governed large-language-model deployment inside your regulatory perimeter, with examiner-ready documentation and the policy guardrails wired in from the first commit.

Duration: 120 days · fixed scope

Playbook summary

A fixed-scope deployment of a large-language-model system inside your tenant, with model risk documentation, content-policy guardrails, audit log, and the governance trail your regulator expects — built by the engineers who run it, not by a separate compliance team.

What you get

Fixed deliverables.

Listed in the SOW. Every line is shipped before the engagement closes — no add-on quote, no surprise scope.

  • Production LLM deployment inside your tenant, in your region, under your IAM
  • Model card aligned to NIST AI RMF 1.0
  • Content-policy guardrails and the written evaluation methodology behind them
  • Audit log of every prompt, retrieved context, response, and reviewer action
  • Human-in-the-loop review workflow for the use cases your policy requires
  • Model risk management plan and the validation memo signed by a PRR principal
  • Vendor risk package for every third-party AI component
  • Runbook and operational handover to your on-call team

Timeline

Week-by-week.

  1. Weeks 1–3

    Use case scoping, policy interviews, governance scaffolding stood up, outcome contract signed.

  2. Weeks 4–7

    Inference path build, guardrail policy implementation, evaluation methodology stood up.

  3. Weeks 8–11

    Audit log and review workflow build, security review, internal pilot with named user groups.

  4. Weeks 12–15

    Validation testing, model card drafting, governance review with risk and compliance leads.

  5. Weeks 16–17

    Production cutover, operational handover, written validation memo delivered.

Who this is for

Who this is for

A good fit when…

  • You are a regulated institution and your auditor will read the model risk documentation.
  • You have one to three use cases scoped, not a wishlist of fifteen.
  • You have an executive sponsor, a risk officer, and a security partner ready to engage from week one.
  • You want a system the engineer who shipped it is still on call for in month six.

Who this is not for

Pass on this when…

  • You want an unguarded ChatGPT clone on your data. We will not ship that.
  • You have not yet decided which workload to deploy. (Start with the readiness assessment.)
  • Your timeline assumes a 30-day deployment. This is a 120-day path; we will not compress it under a regulator's eye.

What happens next

The first thirty days, written down.

  1. 01Briefing call within five business days of engagement signature.
  2. 02Week-one kickoff with stakeholder interviews and use case prioritization.
  3. 03Bi-weekly written status against milestone calendar.
  4. 04Day-120 cutover with validation memo delivered the same day.

Regulated LLM Deployment.

120 days · fixed scope. Book the engagement, or schedule a briefing to talk through fit first.