Heroics don’t scale.Systems do.

Your strongest FDEs are carrying the hardest deployments back to back — and every new one starts from zero. Hiring can’t close a gap that compounds; heroics don’t renew. HALDEMAN builds the operating model that turns each deployment into the next one’s head start — so the program scales without burning the people who run it.

§ 01 · The evidence

Demand outruns the people.

There are only so many experienced FDEs in the market, and the demand has outrun them. So programs serve client needs through heroics — and heroics reset to zero every deployment.

+1,165%

Year-over-year growth in forward deployed engineer postings — demand the supply of experienced FDEs can’t meet.

Bloomberry · Revealera data · 2025

70%

Enterprises predicted to abandon vendor-run agentic engagements by 2028 — scarce headcount they can’t sustain.

Gartner · via TechRepublic

Every platform and every consultancy answered the same way: hire. The market’s own numbers say that can’t scale.

Why hiring can’t close the gap

§ 02 · The system

A system, not a bigger team.

A Forward Deployed System is the operating model your program runs on. Every deployment still serves the client — and leaves two things behind: signal that sharpens the product, and reusable capability that makes the next deployment start ahead. Heroics reset to zero; the model compounds.

Deploymentsignal → productartifact → libraryThe systemNext deploymentstarts ahead
The two returns: signal to the product, a reusable artifact to the library.

Palantir — the firm that pioneered forward deployment — shows the shape in its own filings: revenue grew 310% while headcount grew 82%. Output outran the org chart by nearly 4×.

The same pattern shows up across the AI-Native frontier — the programs that win make each deployment the next one’s starting point.

Palantir 10-K filings · revenue vs. headcount, 2020→2025

§ 03 · Where to start

Start with the system.

Forward Deployed Systems is the engagement — the program assessed, the operating model built around the team, and the value scaled until each deployment makes the next one faster. Advisory is a separate, standing relationship for the leader who wants an operator in the room for the calls that set a program’s trajectory.

/ 01 · The engagement

Forward Deployed Systems

Assess the program. Build the system. Scale the value.

Three pillars hold the system: pods built of four roles, a process that mandates a client outcome and a reusable artifact from every engagement, and FD/IO — the substrate where field learning lands and returns as capability.

/ 02 · The standing seat

Advisory

An operator across the table for the calls that set the program’s trajectory.

A standing advisory relationship for the leader running an FDE or Applied-AI program. The operator across the table has made the call before, on all three sides: the client, the technologist, the consultant.

§ 04 · The pattern

The levers others miss.

While the market hires FDEs, HALDEMAN builds the system they work in. While the market deploys AI, HALDEMAN rewires the operating model around it.

Flat programs and compounding programs run the same roles, the same tools, the same talent. The difference is structural — a small set of levers most programs never find because everyone is staring at headcount. Finding them is the work, so the investment produces results. The full argument

Independent by structure: no delivery consortium, no platform to protect. HALDEMAN works with whoever the client’s system needs.

About the firm

Start with one conversation.

Not a pitch, not a deck — a working conversation about the wall your program is hitting and the pace it needs. You reach Cory directly, and you’ll hear back within a day. If a Forward Deployed System fits, the Maturity Map is the first move. If it doesn’t, the conversation will say so.