The reference library for AU dealer AI.
Field-tested guidance for dealer principals, BDC managers, group executives and OEM teams.
Playbooks
4 articlesWhat an AI BDC actually does for an Australian dealership
A practical, jargon-free explanation of how an always-on AI BDC complements your sales floor, and where it shouldn't.
The cold lead revival playbook
Most dealerships sit on 18–36 months of cold leads. Here's how to revive them without burning the database.
Owner loyalty and the second vehicle conversation
Your existing owners are your highest-margin prospects. Most dealerships never have the conversation.
Improving the trade-in conversation with AI
Trade-in is where most digital deal flows break down. AI can hold the customer through the friction.
Compliance
5 articlesPrivacy Act 1988, what dealers must know before deploying AI
A plain-English read of the 13 Australian Privacy Principles in the specific context of a dealership AI deployment.
Why dealer data sovereignty is a board-level conversation
Where your customer data lives is no longer an IT decision. Here's what dealer principals need to ask vendors.
AI at the F&I desk, what's appropriate, what isn't
Finance and insurance is regulated. AI can help, but only with very deliberate boundaries.
Outbound SMS and the Spam Act, a dealer-friendly summary
The three tests that determine whether your outbound SMS is legal.
SOC 2 and ISO 27001, what dealer buyers should actually check
A short list of meaningful questions to put to any vendor handling your dealership's data.
Operations
6 articlesLead response time benchmarks for Australian franchised dealers
The cost of slow response, the realistic ceiling for human BDCs, and the dealerships that have crossed under 90 seconds.
Using AI to lift service retention without annoying customers
Service revenue is the most defensible profit pool in the dealership. AI should protect it, not jeopardise it.
Integrating AI into your existing dealer ecosystem
How AI should plug into the systems you already run, without forcing a platform change.
The economics of after-hours coverage
Most leads arrive when the dealership is closed. The math of fixing that.
Handling Google Business Profile leads with AI
GBP is now a major lead source for dealerships. Most are unprepared for the response-time expectations.
The data quality work to do before deploying AI
Most failed AI deployments fail because the underlying data was wrong. A practical hygiene pass.
AI Strategy
6 articlesMeasuring ROI on dealership AI without flattering the numbers
A defensible ROI model that survives a CFO review.
AU-native vs US-built dealer AI, the real differences
US AI vendors dominate the marketing. Here's what actually changes when you deploy one in Australia.
AI governance for multi-rooftop dealer groups
When you run 8, 20 or 60 rooftops, AI governance becomes a corporate control, not a single-store decision.
The KPI dashboard a dealer principal actually needs
Eight numbers, refreshed daily, that tell a dealer principal whether the AI is earning its keep.
Human-in-the-loop design for dealership AI
The best dealership AI is invisible to the customer and indispensable to the salesperson. Here's how that's designed.
A 20-minute AI readiness assessment for dealership leaders
A practical self-assessment to run with your sales, service and IT leads before you brief vendors.
Industry
3 articlesThe EV customer experience, what's different, what AI gets wrong
EV buyers ask different questions, expect different answers, and judge dealerships on different criteria.
Tone of voice for luxury brand AI deployments
Luxury customers expect restraint. AI deployments at premium brands have to clear a higher bar.
Servicing a mixed EV and ICE fleet, workflow implications
Workshop loading, technician skills and customer messaging all shift when you run both.
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