We embed until the AI use case is running.
From an approved AI use case to a system that is running.
We embed DigiForm engineers with your team. They take a use case you have already approved and carry it into production, with the governance and the measure of value built in. It is our engagement. We do not place a contractor and leave.
Typically three months or more. One or two engineers. Mostly remote.
Companies whose business is not AI.
CPG, manufacturing, and PE-backed companies, generally from about $5 million in revenue. The engagement fits when a use case is approved, or is on its way through the AI Value Sprint, and your team will be in the work with us.
A working week with your team.
An engagement is typically three months or more. There is no week-by-week calendar, because the use case sets the pace. This is the shape of the work while an engineer is embedded.
Map the value, govern it, build it, run it.
The same method as the rest of our work. The ROI Lab is the entry. The forward deployed engineer engagement is the build, once the use case is approved.
- Step 01
Entry
The ROI Lab, including the free AI Value Preview. A directional read of where AI might pay, before anyone scopes a build.
Open the ROI Lab → - Step 02
Map the value
The AI Value Sprint ranks the work and says what it would take. The Sprint page carries its own terms.
See the AI Value Sprint → - Step 03
Govern it
The use case is approved, and the decision is written down, before an engineer starts building.
AI governance advisory → - This engagement
Build it
DigiForm engineers embed with your team and build the approved use case. This is the engagement.
- Step 05
Run it
It goes into production with the measure of value still attached. You choose the mix after that.
After go-live →
The lab finds it. The Sprint scopes it. We build the approved one.
The ROI Lab is where someone starts, including the free AI Value Preview. It is a directional read, not a proposal. The AI Value Sprint is the ranked, scoped version of that read. A forward deployed engineer engagement starts when a use case from that work, or one you already approved, is ready to build.
We are tech-agnostic. The stack is whatever fits the work and the systems you already run, and we take no vendor money. That is what lets the approval stand even when the answer is to stop using something you already pay for.
Both stay in the build.
We do not build first and govern later. The use case is approved before the engineer embeds, and the reason is written down. While the work is underway that record stays current, including when the use case changes.
The measure of value is set before production and checked against what is actually running. The point of the engagement is a system your team uses, with the decision and the number still attached to it. A pilot that ends in a slide is not the outcome.
Set by the use case.
Length, team, and where the work happens. Complexity decides each one.
Scope an engagement for this use case. We reply within 2 business days.
Scope an engagementYou choose the mix.
Once the system is running, the next step is yours. One of these, or more than one.
Common questions.
What is a forward deployed engineer engagement?
DigiForm engineers sit with your team and take an AI use case that has already been approved from that decision through to a system running in production. It is our engagement, governed and measured. It is not a contractor placement.
Who is this engagement for?
Companies whose business is not AI. We work with CPG, manufacturing, and PE-backed companies, generally from about $5 million in revenue, when a use case is approved or is on its way through the AI Value Sprint.
How does this connect to the AI Value Sprint?
Start in the ROI Lab (digiform.io), which includes the free AI Value Preview. The AI Value Sprint (digiform.io) ranks the work and scopes it. A forward deployed engineer engagement is how an approved use case gets built and run. The Sprint page carries its own terms. This page does not restate them.
What do the engineers do week to week?
There is no fixed week-by-week calendar. An engagement is typically three months or more, and the use case sets the pace. In a working week the engineer is with your team, building the approved use case, keeping the decision record current, and checking that the measure of value still matches what is running.
How do governance and value tracking stay in place?
The use case is approved before build work starts, and the decision is written down. While the engineer is embedded, that record stays current. A measure of value is set before production and checked against what actually runs, so the system does not go live with the number left behind.
How long is an engagement?
Typically three months or more, depending on the use case and its complexity. We set the length when we scope the engagement.
How many engineers join an engagement?
One or two engineers, scaled to the use case and its complexity.
Where do the engineers work?
Mostly remote. We are on site for kickoff and key milestones.
What happens after go-live?
You choose the mix. We hand the system to your team, with optional ongoing support. We run and monitor it on a monthly retainer. Our engineers move on to the next use case. One of these, or more than one.
What does an engagement cost?
We do not publish a price. Scope an engagement through the contact form and we reply within 2 business days. Nothing on this page is a quote.
Start in the ROI Lab, or scope an engagement.
If you do not yet have an approved use case, the ROI Lab is the entry, including the free AI Value Preview. If you do, scope an engagement with us. We reply within 2 business days.