Automotive AI agents

AI agents for dealerships, with the guardrails built in.

Creative Code builds AI agents for car dealerships and automotive software companies, and runs several in production: an agent storefront that answers AI assistants from live dealer inventory, an autonomous support desk with a human approval gate, and a self-measuring outbound engine. Every agent works inside the dealer's existing systems, checks consent before it contacts anyone, honors opt-outs, quotes prices only from live data, and leaves consequential decisions to a person.

Talk about an agentSee the guardrails

Definition

What is an automotive AI agent?

An automotive AI agent is software that uses a language model to take actions in dealership systems, not just chat. It looks up live inventory, answers a shopper, triages a support request or drafts a follow-up, through tools that read and write real data.

The hard part is not the model. It is the integrations, the data, and the rules about what the agent may do on its own. That is where we spend the build.

In production

Agents we run in production

18 tenants live

AI Agent Storefront

An endpoint AI assistants such as ChatGPT query instead of crawling a dealer website. Live inventory, offers and store data, served over MCP. The dealer keeps the website they have.
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5 product queues live

Autonomous Support Desk

Email, chat and voice land in one queue. An investigation agent looks into the problem, a response agent drafts the answer, and a person approves anything customer-facing.
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In production

Self-Measuring Outbound Engine

Measures one real fact about each prospect, cites it with a screenshot, and stops the moment someone replies. If the measurement fails, it sends nothing.
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Foundry Labs

Prototypes, labeled as prototypes

Foundry Labs builds are concepts and working prototypes. They are not client deployments, and they carry no production numbers.

Labs prototype

Service Lane Voice Agent

A voice agent for the service desk that picks up on the first ring, books against the live scheduler, quotes from the parts catalog and texts the customer when the car is ready.
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Labs prototype

Drive-Through Vision Inspection

A car rolls through the service lane and vision models produce a dent, scratch and tire report from a camera arch, attached to the repair order automatically.
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Labs prototype

Trade-In Appraisal Agent

Reads the VIN, photos and market comps from the inventory graph and returns an appraisal with the reasoning attached, so the desk and the customer see the same evidence.
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Guardrails

The rules every dealer-facing agent we build follows

Human approval

Anything customer-facing or consequential passes an approval gate. Pricing, payments, signatures and negotiation stay with a person.

Consent before contact

Consent is recorded per person and per channel, with evidence and a timestamp. An agent cannot text, call or email someone without a matching record.

TCPA opt-outs

STOP and other opt-outs are recorded and honored, and outreach stops when someone replies. AI-generated voice calls are covered by the TCPA, so they need prior consent like any automated call.

Pricing disclosures

Prices, offers and payments come from live data through tools, never from the model, and carry the disclosures FTC advertising rules and state law require.

Evals before production

Each agent ships with an eval set and a pass bar agreed with you. Changes that fall below the bar do not ship.

Audit trail

Every run, tool call and message is logged, so any action can be traced, explained and reversed.

How the agent fleet that builds this software is secured: Security.

How an engagement works

Discover, deploy, measure

Discover

01

Weeks 1 to 4

A Forward Deployed Engineer maps the real process in your systems, measures the baseline, proves the hard parts with prototypes, and delivers an architecture and a scope you can take to anyone, including us.

Deploy

02

Weeks 5 to 8

The engineering pod and the Farm, our AI agent fleet, build to production inside your systems of record. Every change ships with tests and evidence, and an engineer merges.

Measure

03

Months 3 and 6

Results against the baseline, in the same units we measured on day one. Then we keep improving what is live.

Automotive AI agents FAQ

What is an automotive AI agent?+

Software that uses a language model to take actions in dealership systems, not just chat: look up live inventory, answer a shopper, triage a support request, draft a reply or follow-up. It works through tools that read and write real data, under rules about what it may do on its own.

Which of your agents are in production?+

In production: the AI Agent Storefront (18 tenants live), the Autonomous Support Desk (5 product queues live) and the Self-Measuring Outbound Engine. The Service Lane Voice Agent, Trade-In Appraisal Agent and Drive-Through Vision Inspection are Foundry Labs prototypes, not client deployments.

How do you stop an agent from making up a price?+

Prices never come from the model. The agent calls a tool that reads live inventory and offer data, quotes what the tool returns with the required disclosures, and says so when it cannot find a number. Pricing, payments, signatures and negotiation stay with a person.

How do your agents handle TCPA and opt-outs?+

Consent is checked per person and per channel before an agent texts, calls or emails, and an opt-out such as STOP is recorded and honored. AI-generated voice calls fall under the TCPA, so voice outreach needs the same prior consent as any other automated call.

Does a person approve what the agent sends?+

For anything customer-facing or consequential, yes. Our support desk drafts replies and a person approves them at a gate. The level of autonomy for each step is decided with you during Discover and written into the acceptance criteria.

Do we need to replace our CRM or DMS?+

No. Agents work inside the systems you already run, through the connectors listed on our integrations page.

How long does it take to deploy an agent?+

Discover runs four weeks: the process is mapped, the baseline measured and the hard parts proven with prototypes. Deploy follows in weeks five to eight, and results are measured against the baseline at three and six months.

Scope an agent

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