Brite

Mission Delivery Engineers

Forward deployed engineering for agencies that have to ship. We don’t sell a pilot. We take a number.

A delivery team gathered around a conference table reviewing work together in a bright office
2–8people per Mission Pod
1mission metric, agreed before kickoff
Fixedweeks, scope and price
4artifacts you own when we leave
The pitch, in one paragraph

We don’t sell a pilot.
We take a number.

If the number does not move, we have not delivered — and you have not spent more than you agreed.

Most government AI work stalls in the pilot. Ours does not, because we do not sell a pilot — we take a number.

A Brite Mission Pod embeds a small team of engineers inside your program, agrees on one measurable outcome before the first sprint, and ships working software into your production environment in a defined time, at a fixed price. The engineers are cleared, onshore, and accountable to the metric.

What we’re actually offering

An engineer inside your program

A Mission Delivery Engineer is a senior engineer who works inside your program rather than at arm’s length from it.

Owns an outcome

Not a backlog. They are the person accountable when the number is reviewed — named as key personnel, not a line item.

Builds the hard parts

The grounding layer, the evaluation harness, and the refusal policy that decides what the software is not allowed to decide.

Sits inside the program

They are in your stand-ups. They know your caseworkers by name. They see the problem before it reaches a status report.

Borrowed from the best, rebuilt for government. This is the delivery model pioneered in government by Palantir and now used by Salesforce and the frontier AI labs. We refactored it for the way agencies actually buy, staff and authorize work.

The problem

Why the usual approaches stall

Four ways government AI work reliably fails to reach production.

Staff augmentation

You get hours, not outcomes. The vendor is paid whether or not anything reaches production, and nobody owns the number.

Traditional systems integration

Requirements are frozen a year before anyone sees working software. By go-live the program has changed and the build has not.

The AI pilot

Runs in a sandbox on synthetic data, demos beautifully, and dies at the security review because nobody planned for the authorization boundary.

Buying a platform and hoping

The license arrives. The capability does not. The gap between what a platform can do and what your program needs is exactly the work.

What you get

A Mission Pod

  • Two to eight people.
  • One mission metric.
  • One agency sponsor.

The unit is a pod, not a person. We scale by adding pods, never by growing one past eight — past eight it stops being forward deployed and becomes a project.

A small team mid-discussion at a whiteboard covered in sticky notes
Pod lead

Principal MDE

Owns the mission metric and the refusal policy. Named as key personnel. Your single accountable point of contact.

The build

Mission Delivery Engineers

Agent topics and actions, integration, platform configuration.

The corpus

Data & Grounding Engineer

The retrieval corpus: what the software knows, where it came from, how often it refreshes, and who may see it.

The harness

Agent Quality Engineer

The evaluation harness — gold-standard questions with expected answers, run on every change, with published pass rates.

Apprentice seat

Associate MDE

Every pod carries one; this is how the practice grows without diluting it.

Shared across pods

HHS domain lead

Eligibility rules, federal reporting — the things that make government software different.

Every pod leaves behind

Four artifacts you own

01

A production deployment

Inside your authorization boundary. Not a sandbox, and not a demo environment.

02

A grounding corpus

With documented provenance and a refresh cadence you can audit.

03

An evaluation harness

You own it and can run it yourself, on every change, forever.

04

A signed refusal boundary

A written list of what the software must never decide.

How you buy it

The Mission Sprint

Fixed weeks. Fixed scope. Fixed price. The outcome metric written into the statement of work.

  1. 1
    Week 0

    Name the metric

    A named mission metric, agreed before kickoff. If we cannot name one, this is staff augmentation and we will tell you so.

  2. 2
    Weeks 1–2

    The pod lands

    Onsite or in your virtual environment. Access adjudication starts immediately, and we bring pre-adjudicated staff when the schedule demands it.

  3. 3
    Target week

    Software in production

    Working software in your production environment, the evaluation harness running, and the first measurement against the metric.

  4. 4
    After

    Renew on the number

    We would rather earn the next sprint than negotiate a change order.

Why firm-fixed-price? It is deliberate: it puts the delivery risk on us, it avoids the labor-category gymnastics that an embedded role invites on a time-and-materials vehicle, and it gives your contracting officer something clean to evaluate.

Why Brite

Twenty years of the hard version

Twenty years of the hard version of this work, in the programs where it is hardest.

  • We’ve done the hard version for twenty years

    Continuously contracted with Indiana state agencies since 2017, including the Department of Child Services and FSSA. Our Enlite case management product is in production at FSSA Aging. This is not a practice we are standing up to chase an AI budget.

  • Salesforce Summit Partner

    The top tier of the Salesforce consulting partner program. Where agent capability can be delivered natively inside Salesforce Government Cloud, we deliver it there — inside an authorization boundary that already exists, rather than asking you to sponsor a new one.

  • We design for the compliance floor first

    Most AI projects meet the security review at the end and lose. We start there. Before a pod touches a system we have written down, per data type, who may access what, and from where.

A government service desk where an official processes paperwork for a resident
Salesforce Summit Partner
Salesforce Summit PartnerThe top tier of the Salesforce consulting partner program
Onshore where it counts

And we will say so in writing.

IRS Publication 1075 prohibits access to federal tax information from outside US jurisdiction. Where your program touches FTI or criminal justice data, the pod is fully onshore and adjudicated — and we price it that way from the start.

No surprises at security reviewWe will not quote you a blended offshore rate and then discover the constraint at security review.
Global delivery, only where eligibleOur global delivery center supports work that is legally eligible for it, and nothing else.
The trade

What this replaces

Instead of
You get
A statement of work measured in hours
A statement of work measured in one outcome
A pilot that proves feasibility
A production deployment that proves value
A demo on synthetic data
An evaluation harness you can run yourself, forever
“The AI decided”
A signed list of what the AI is not allowed to decide
A team you inherit at go-live
A team that has been in your stand-ups since week one
The answers a procurement officer can verify.

Questions you should ask us

How is this different from a good consultant?

A consultant is accountable for a deliverable. An MDE is accountable for a number, and stays until it moves. The concrete difference is ownership of the grounding layer and the evaluation harness — the two things that decide whether agentic software works in production, and the two things a traditional technical consultant almost never owns.

What happens if the metric does not move?

The sprint is fixed price, so you have not spent more than you agreed, and you own everything the pod produced — including the harness that shows you what did and did not work. We would rather have that conversation than sell you a second pilot.

Can you work inside our authorization boundary?

Yes, and our default is to deliver into an existing one rather than introduce a new one. Where you want something we host, we will tell you plainly what it would take to authorize it, and how long, before you commit.

How fast can a pod actually start?

The rate limit is access adjudication, not hiring. Depending on the data involved, background investigation and agency adjudication runs six to fourteen weeks. We maintain adjudicated staff to shorten it, and we will give you a realistic date rather than an optimistic one.

Who owns what we build?

You do, on the terms in the contract. We will raise the data-rights question early rather than discover it at delivery, and we will tell you which reusable components we assert restrictions on, and why.

Start here

Bring the problem that has not moved in two years.

A Mission Sprint begins with a scoping conversation, not a proposal. If we can name the metric together in an hour, we can write a statement of work. If we cannot, we will say so — and that is a useful answer too.

Book the scoping hour