Run an AI-native dealership — set the goal, the fleet runs the ops.

The last generation of dealer software sold tools: a website, a CRM, a chat widget. Every tool needed a human to drive it. The next generation sells outcomes: units moved, gross captured, leads answered — with the software itself doing the work. That's Dealership-as-a-Service.

Pitlane is architected for that shift. The GM sets the strategic goal ("move aging F-150s", "boost used gross 8%", "fix our review score"). The Chief of Staff agent breaks it into tasks, delegates to specialists, respects human-in-the-loop guardrails, and reports back on attributable impact.

The average franchise rooftop pays 14 vendors — CMS, CRM, chat, inventory syndication, desking, reputation, DMS add-ons — and stitches them together with humans. Each vendor promises AI; almost none of them do anything without a rep in the loop. The result: aged inventory, 27-minute median lead response times, and $400K+ per year in budget that never converts to gross.

The last generation of dealer software (Dealer.com, Dealertrack, VinSolutions) won by replacing the website or the CRM. Today's competitors are running the same playbook — sell a modern CMS, then bolt AI features on top. That works, but it takes 60+ days to install and forces the dealer through OEM certification purgatory.

Sub-60-second lead response with real personalization, VDP descriptions that actually rank, competitive repricing decisions that hold up under scrutiny — none of these were possible in production 24 months ago. They are now. Dealers already believe AI works; description-writing agents from incumbent vendors hit 50% installed-base adoption in under a year. The market is asking for more autonomy, and the incumbents are architecturally too slow to give it.

We do not ask the dealer to change their website, their DMS, or their vendor lineup on day one. Pitlane plugs into the inventory feed, the lead pipe, and the ad accounts as read/write integrations. Within 24 hours the Chief of Staff is briefing six specialist agents:

Every AI agent operating in a dealership today is quietly reverse-engineering the same rules — HomeNet feed shapes, CDK / Reynolds / Tekion writebacks, ADF-XML lead payloads, RouteOne credit apps, state title math, OEM co-op compliance. None of them agree, none of them version, and none of them are auditable. The incumbent answer is to own the closed stack top to bottom. Ours is the opposite: publish the contract in the open, then be the reference implementation.

The moat isn't the code — it's the ISO / IETF / W3C position for automotive retail. Distribution and trust compound at the standards layer, not the app layer. Competitors can copy any single feature we ship. They cannot become the standard everyone else builds against.

1. Q1–Q2
   10 design-partner rooftops at $0 base + 15% of attributed incremental gross. Prove ROI attribution and refine guardrails.
2. Q3–Q4
   Convert design partners to standard commercial pricing ($1.5K base / rooftop / mo + performance). Sign first multi-rooftop group.
3. Year 2 H1
   Land 3 OEM pilots via pull-through from certified independent dealers already using Pitlane. Launch RV/marine wedge.
4. Year 2 H2
   Cross $10M ARR with 350–450 rooftops. Series A raise on network-density thesis.

Founding team backgrounds in dealer software, applied ML, and revenue operations at venture-backed vertical SaaS companies. Advised by former executives from CDK, Cars.com, and Cox Automotive.