Heroics don’t scale.Systems do.
Your strongest FDEs carry the hardest deployments back-to-back, and every new one starts from zero. People don’t renew on demand — and hiring can’t close a gap that compounds. 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
There are only so many experienced FDEs, and demand has outrun them. So programs deliver through heroics — and every deployment starts from scratch.
Year-over-year growth in forward deployed engineer postings — demand the supply of experienced FDEs can’t meet.
Bloomberry · Revealera data · 2025
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.
§ 02 · The system
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.
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 holds across the AI-Native frontier — the winners scale output, not headcount.
Palantir 10-K filings · revenue vs. headcount, 2020→2025
§ 03 · Where to start
Forward Deployed Systems is the engagement: assess the program, build the operating model around the team, scale the value. Advisory is a separate, standing relationship — an operator in the room for the calls that set a program’s trajectory.
/ 01 · The engagement
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
An operator across the table for the calls that set a program’s trajectory.
For the leader running an FDE or Applied-AI program: someone who has made the call before, on all three sides — client, technologist, consultant.
§ 04 · The pattern
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, tools, and 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. The full argument
Independent by structure: no delivery consortium, no platform to protect. HALDEMAN works with whoever the client’s system needs.
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.