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AI Agent Development

Most people talk about what an AI agent could do.
Here's how this one talks to customers.

I built a fully functional AI sales agent for a car dealership — trained on their real business rules, integrated with their actual systems, and ready to deploy. Not a template. A working agent.

24/7
availability — no staff needed
5
automated workflows
100%
built on this dealership's real business rules
Without the Agent vs. With the Agent
Situation Without the Agent With the Agent
After-hours leads Lost — no coverage Handled immediately, 24/7
Inventory & pricing questions Wait for staff availability Answered in real time
Car or accessory not in stock Lead disappears Logged as structured demand data
Appointment booking Manual — human handoff required Booked directly into database
Lead qualification Sales team time Silent and automatic

The Problem

A car dealership's sales cycle doesn't stop at 6pm. Leads come in on weekends, after hours, and during peak seasons when the floor team is overwhelmed. Every unanswered message is a lost opportunity — and hiring more staff to cover every time window doesn't scale.

Beyond availability, there was a subtler problem: no visibility into what customers actually wanted when a specific car wasn't in stock. That demand was disappearing into thin air instead of informing inventory and sales strategy.

What the Agent Does

I designed and built a production-ready AI agent from scratch — trained on the dealership's real business rules, inventory logic, and customer service policies.

Five workflows, fully automated
Customer service
Answers questions about location, hours, delivery, and inventory in natural, accurate language.
Financing offers
If a customer's budget doesn't cover a vehicle, the agent proactively presents financing options and walks them through the process.
Appointment scheduling
Books showroom visits directly into a database — no human handoff required.
Silent demand capture
When a customer asks for a car or accessory that isn't in stock, the agent logs the request silently. Every unavailable inquiry becomes a demand signal for inventory planning.
Smart handoff
When a conversation reaches a decision point that requires a human, the agent transfers cleanly with full context.

See It For Yourself

Real conversation

Here's a real exchange handled end-to-end by the agent — no human involved at any point.

  • Inventory check — answers pricing and availability instantly, in natural language
  • Appointment booking — schedules the showroom visit directly into the database
  • Silent demand capture — logs the request for a red RAV4 for the inventory team, with no extra step for the customer
AI
Dealership Assistant
online
Hi! Do you have any Toyota RAV4 in stock under $30k?
9:41 AM
Yes — a 2022 RAV4 LE, $28,500, 31k miles. Want to see it in person?
9:41 AM
Sure, this Saturday at 11am?
9:42 AM
You're booked for Saturday, 11:00 AM. We'll send a reminder the day before.
9:42 AM
One more thing — do you have it in red?
9:43 AM
Not in red at the moment — but I can let you know as soon as one's available. Anything else I can help with?
9:43 AM
Stack Used
n8n OpenAI API Anthropic API Database integrations

Curious what an agent like this could handle for your business?

See if this fits your team →

Want an agent built for your business rules, not a generic chatbot?

Every AI agent I build starts with your workflows, your edge cases, and your customer language — not a template. The result is an agent your team can trust to run without supervision.

Book a Discovery Call  → No commitment. 30 minutes.