Plumb · FDE workspace

One operator.
The entire intake-to-deployment lifecycle.

The AI-first orgs of tomorrow deploy entire department functions with a single FDE and a stack of agents. We built the surface that makes that possible — from discovery call to live deployment, on one operator.

Request early access →
IntakeScopeDeployBuildOperator

1 operator

runs the full delivery motion

< 1 day

intake call to live deployment

7× faster

than the FDE handoff model


01 · The clog

Revenue is trapped between demo and deploy.

95% of enterprise GenAI pilots deliver zero measurable P&L impact.

Not because the AI doesn't work. Because custom deployment doesn't scale. Every deal requires a Forward Deployed Engineer to scope, build, and ship a bespoke integration — by hand, from scratch, one account at a time.

The delivery lifecycle breaks at the handoff. AEs advance the deal. Engineers rebuild context. Meanwhile, the pilot expires and the account churns before a single workflow goes live.

01

AI Outbound

Inbound leads spike

02

Technical Sales

Discovery call

03

Qualify & Scope

Context gate

↑ clog

04

Custom Build

← the clog

05

Deploy & Expand

Live, monitored

Plumb owns steps 03 → 05 · Quick wins (volume) · Big bets (depth)

729%

YoY growth in FDE job postings

643 → 5,330 · Indeed Apr '25→'26

$190K–$385K

median FDE comp at AI-first orgs

Staff & principal roles clear $600K+

No playbook

no standard stack, no training

Every deployment rebuilt from scratch


02 · Plumb

Replace the handoff chain with one surface.

The deployment workspace built for the FDE workflow.

Contour handles software implementations for consulting teams. Plumb is built for a different operator — the internal FDE shipping their company's AI at enterprise accounts. One surface from discovery to live deployment. No project management. No invoicing. No resourcing. Just the delivery lifecycle, automated.

Platform01

Headless by default

We expose the platform headlessly — an agent-native interface under agentic control. Your stack, your APIs, operated by a machine with operator-level judgment.

Integration02

Live in your calls

Sits inside Gong, Zoom, and Slack. A real-time technical co-pilot during discovery — the build kicks off while the AE is still on the call.

Intelligence03

Context gate

AI scores scope readiness 0–100 from the transcript. Below 60, the build is blocked and you get the exact gap list — OAuth, latency targets, architecture forks — to resolve before we ship.

Model04

Platform-trained

Every deployment captures expert FDE sessions. Every shipped build trains the next. The agent learns the moves, the edge cases, the unwritten rules your best operator carries in their head.


03 · The loop

Meeting ends. Build deploys.

Before the AE has finished talking, the deployment is already running.

Plumb closes the loop between signal and delivery. A discovery call generates a scoped build prompt. The context gate clears. The build agent ships. The FDE reviews, approves, and the account goes live — same day.

01

Intake

Discovery call recorded. Transcript parsed in real time.

02

Context gate

Scope scored 0–100. Gaps surfaced. Build unblocked.

03

Build prompt

Operator-level spec dispatched to Claude Code.

04

Deploy

FDE reviews, approves, ships. Account goes live.

sensor stream · live · FDE-workspace-prod
intakeFDE-112 ingested — Vertex AI, Acme Corp09:14
context_scoreScored 44/100 — OAuth scope not captured09:16
ae_syncAE gap sync requested — 3 blockers flagged09:17
context_scoreRe-scored 78/100 — context gate cleared10:02
build_kickoffBuild prompt dispatched → Claude Code10:03
stage_changeFDE-112 → build · Quick Win · 21d SLA10:04
deployFDE-109 shipped — Northwind, Atlas Freight10:31
ingestFDE-113 ingested from Gong transcript11:04
classifyFDE-113 → Big Bet · custom middleware · 45d SLA11:05
stage_changeFDE-112 → deploy · prod keys approved11:47
intakeFDE-112 ingested — Vertex AI, Acme Corp09:14
context_scoreScored 44/100 — OAuth scope not captured09:16
ae_syncAE gap sync requested — 3 blockers flagged09:17
context_scoreRe-scored 78/100 — context gate cleared10:02
build_kickoffBuild prompt dispatched → Claude Code10:03
stage_changeFDE-112 → build · Quick Win · 21d SLA10:04
deployFDE-109 shipped — Northwind, Atlas Freight10:31
ingestFDE-113 ingested from Gong transcript11:04
classifyFDE-113 → Big Bet · custom middleware · 45d SLA11:05
stage_changeFDE-112 → deploy · prod keys approved11:47

04 · Compare

Same call. Different extraction.

One line in the transcript.
Two completely different outcomes.

The AE closes the deal. Our agent extracts what actually gets built. No handoff. No lost context. No rebuilt scope.

What the AE captures

“Customer wants CRM contact lookup on inbound, near realtime.”

  • ·OAuth scope, latency targets, and architecture forks never land in the notes.
  • ·Most of what the customer asked for gets dropped at the handoff.
  • ·CRM updated, opportunity advanced — nothing an engineer could build from.
What Plumb surfaces

Salesforce org · OAuth not scoped · KB not configured

  • ·"Near realtime" is undefined — 2s vs 200ms changes the architecture completely.
  • ·Native lookup vs middleware webhook: scope fork resolved before eng opens the repo.
  • ·Prod keys flagged · env rules captured · operator approves the prompt.

Scope fork → build prompt. Not a transcript summary.


05 · The moat

Why us.

Every deployment trains the agents that run the next.

Because Plumb is the surface the work happens on, we capture what no recording tool can: how a great operator moves from signal to decision to action.

Gong has transcripts. We have intention — and the dataset doesn't exist anywhere else.

Request early access →

Operator-level data

Every session captures the moves, the edge cases, the unwritten rules your best FDE carries in their head.

Compounding flywheel

More deployments → better agents → faster deployments. Every customer makes the next one cheaper to win.

First-mover dataset

The FDE workflow dataset doesn't exist at Gong, Salesforce, or anyone else. It only lives inside the surface the work happens on.

Plumb · useplumb.ai

Clear the clog.
Ship the build.

We're embedding with our first three lighthouse customers. If you're an AI-first SaaS with an FDE bottleneck, let's talk.