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MassiveScale.AIMassiveScale.AI
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AI Production Sprint

6–10 weeks

Get AI into production with governance built in from day one.

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Who this is for
  • You have one or two AI use cases that need to ship and you want them done right the first time.
  • A pilot is stuck in security review and you need it unblocked, not deferred.
  • You've seen what "bolt governance on later" looks like and don't want to do that again.
And who it isn't
  • You haven't picked the use case yet. Start with the Assessment.
  • You want a vendor to staff your project. We don't do staff augmentation.
What we do

A plain timeline.

  1. Step 01

    Scope and design

    We pick the first use case worth shipping: high visibility and real value, at low enough risk to move fast. It could be a focused assistant. It could be a full agent. Either way, identity, data boundaries, behavioral monitoring, segmentation, and incident response get designed up front, not bolted on after launch.

  2. Step 02

    Build with your team

    We pair with your engineers. Code, infra, and the governance plumbing land in your repos under your standards.

  3. Step 03

    Security review in flight

    We bring your security team into the build, not into a review after. It ships pre-approved.

  4. Step 04

    Handoff

    Your engineers run it. We watch from the side for two weeks. Then we leave.

What you walk away with
  • Production-grade AI your team operates after we leave.
  • The governance architecture documented in your wiki and your code, not in a Notion doc on our laptop.
  • A runbook your on-call team has rehearsed at least once.
  • Reusable patterns, so the next AI use case ships faster.
  • Enablement built in. Your people trained to run what we ship, and the know-how captured so it spreads instead of living in one person's head.
What your team learns

How to design the next one the same way without us. How to run a security review in flight instead of after the fact.

Duration
6–10 weeks
Your team
A dedicated technical lead plus a security and data partner from your side.
Proof

One we've done before.

Zero to production. 8 weeks.

A national lab needed an AI assistant for export-control compliance, one of the most governed corners of the federal world. We built it on their platform in eight weeks, grounded in their own documents and a hard set of evals. Their team runs it. And we closed out with a working, interactive application they could drill into, not a slide deck.

See all four stories →

Questions we get

Real objections, answered straight.

  • Will you build it for us or with us?
    With you. Pairing, code reviews, joint design sessions. The reason your team can run it after is they helped build it.
  • What if our pilot is already live but ungoverned?
    We'll rescope to retrofit governance on what's running. Same approach: identity, data, behavior, segmentation, response. We start with whichever of the five is bleeding worst.
  • Does this need to be a chatbot?
    No. The pattern works for any AI you put in production: a research assistant, a code-writing helper, a back-office automation, a customer-facing agent. The five questions don't change.
  • What about our compliance team?
    They're part of the build, not a gate after. If your compliance officer is in the room from week one, the engagement closes cleaner.

Want to know if this is the right size?

One 20-minute call. We'll tell you straight. If a different engagement fits better, or if we're not the right people at all, we'll say so.

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