AI in Automotive: 5 Things to Get Right Before You Invest

Evolving Automotive: The AI Journey — Episode 3, with Gerard Thatcher (founder, Motortech.ai)

The one AI mistake you can't afford to make, and the five things to get right before you invest.

Most automotive leaders have stopped asking whether to adopt AI. The harder question is how to make a decision now that won't cost them five years down the line. AI is moving faster than most businesses can adopt it, so the priority isn't buying the cleverest tool on the market today — it's putting the right foundations in place so you can adopt whatever comes next.

In this episode, host Eddie Tomlinson sits down with Gerard Thatcher, founder of Motortech.ai, to cut through the noise. Gerard doesn't sit on the fence. Here are the five things he believes every retailer should weigh up before investing — and the full conversation is just 15 minutes, embedded above.

1. Fix your data foundation first

AI is only ever as good as the data it can read. A single, central source of truth lets AI act across the whole business; multiple systems stitched together with APIs produce a disjointed, unreliable result. For Gerard, fragmentation is the costliest mistake a retailer can make right now — and the one most likely to come back to bite you. Get your data into one place before you spend a penny on AI.

2. Know the difference between a chatbot and a communication layer

A lot of what's sold as "AI" is a chatbot wrapper that surfaces a few details about a car. That's not the same as a true communication and data-delivery layer — something that behaves like an LLM working for your business, drawing on every data point and serving customers, human-like, at unlimited scale. Don't pay for a sticky plaster when what you need is infrastructure.

3. Be deliberate about build versus buy

Larger groups will be tempted to build their own AI. But unless you're prepared to build your own DMS, CRM and front-end too, that path can become a costly detour. Reaching a reliable, compliant solution took years of investment and hard-won fixes to problems like hallucination and finance compliance — the kind of errors that carry real liability if AI quotes the wrong price to a customer. Know the real cost before you commit.

4. Prepare for the "anywhere, anytime" customer

The direction of travel is clear: customers will reach dealers through whatever channel they prefer — WhatsApp, or directly through AI assistants — at any hour, anywhere, on the move. The question isn't if your customers will interact with AI, but when. The sooner you adopt it, the sooner both your customers and your business feel the benefit.

5. Look at the whole customer journey

Picture the customer lifecycle as a circle — discovery, part-exchange, finance, purchase, first service, retention, then round again to the next car. Across that loop there are 20+ points where customers are left hanging: chasing callbacks, trying to book a service, asking what their car is worth. Every one of those is lost revenue. Capturing the value of AI means covering the whole journey, not just the initial enquiry.

Watch the full conversation

These are the headlines — the full 15-minute episode gets into the detail, including the one mistake Gerard says every leadership team should hear about before they invest. Press play above, and if AI is on your agenda this year, it's 15 minutes well spent.