Owns an outcome
Not a backlog. They are the person accountable when the number is reviewed — named as key personnel, not a line item.
Forward deployed engineering for agencies that have to ship. We don’t sell a pilot. We take a number.

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.
A Mission Delivery Engineer is a senior engineer who works inside your program rather than at arm’s length from it.
Not a backlog. They are the person accountable when the number is reviewed — named as key personnel, not a line item.
The grounding layer, the evaluation harness, and the refusal policy that decides what the software is not allowed to decide.
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.
Four ways government AI work reliably fails to reach production.
You get hours, not outcomes. The vendor is paid whether or not anything reaches production, and nobody owns the number.
Requirements are frozen a year before anyone sees working software. By go-live the program has changed and the build has not.
Runs in a sandbox on synthetic data, demos beautifully, and dies at the security review because nobody planned for the authorization boundary.
The license arrives. The capability does not. The gap between what a platform can do and what your program needs is exactly the work.
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.

Owns the mission metric and the refusal policy. Named as key personnel. Your single accountable point of contact.
Agent topics and actions, integration, platform configuration.
The retrieval corpus: what the software knows, where it came from, how often it refreshes, and who may see it.
The evaluation harness — gold-standard questions with expected answers, run on every change, with published pass rates.
Every pod carries one; this is how the practice grows without diluting it.
Eligibility rules, federal reporting — the things that make government software different.
Inside your authorization boundary. Not a sandbox, and not a demo environment.
With documented provenance and a refresh cadence you can audit.
You own it and can run it yourself, on every change, forever.
A written list of what the software must never decide.
Fixed weeks. Fixed scope. Fixed price. The outcome metric written into the statement of work.
A named mission metric, agreed before kickoff. If we cannot name one, this is staff augmentation and we will tell you so.
Onsite or in your virtual environment. Access adjudication starts immediately, and we bring pre-adjudicated staff when the schedule demands it.
Working software in your production environment, the evaluation harness running, and the first measurement against the metric.
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.
Twenty years of the hard version of this work, in the programs where it is hardest.
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.
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.
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.


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.
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.
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.
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.
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.
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.
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