The Dealership AI Reality Check: What’s Working, What’s Risky and What Comes Next

Artificial intelligence is here, and it’s rapidly becoming part of everyday working life across the automotive industry. From customer emails and reporting to meeting summaries and customer feedback analysis, many dealership teams are already using AI to save time and improve efficiency.

In our latest webinar, RTS Group’s Head of Consultancy, Louise Giles and Learning Technologist, Tanya Banninga explored how AI can be used more effectively, where the risks lie and the practical steps dealerships can take to use it safely and consistently.

Missed the webinar? Watch the full recording here

The session focused on five key areas:

1. Understanding generative AI
2. Writing better prompts
3. Verifying AI responses
4. Using AI safely
5. A practical dealership checklist to help review your current approach

1. Understanding generative AI

Generative AI creates new content, such as text, images or code, by recognising patterns from existing information. It does not think or reason in the way a person does. Instead, it predicts the most likely response based on the information it has available.

For dealership teams, this makes AI an excellent tool for supporting everyday tasks such as drafting customer emails, summarising meeting notes, brainstorming ideas or refining reports. However – and this is the important bit –  the quality of those outputs depends on the quality of the information input.

Understanding how generative AI works can help us set realistic expectations and make better decisions about when to rely on it and when human judgement is still essential (NB: Always).

2. Writing better prompts

One of the biggest influences on AI output is the quality of the prompt.

Tanya introduced the C.R.A.F.T. framework to help users give AI the context it needs to generate more relevant and useful responses.

The framework encourages users to define the Context, Role, Audience, Format and Tone before asking AI to complete a task.

For example, instead of asking AI to “write a customer email”, explain whether the customer has just purchased a vehicle, is returning after a service visit or has raised a complaint. Define the role AI should adopt, specify the format required and explain the tone you want to achieve.

Think of AI as a conversation rather than a one-off request. Asking follow-up questions, refining instructions and providing additional context will almost always improve the quality of the final result.

3. Verifying AI responses

AI can produce very convincing responses quickly, no doubt, but that doesn’t always mean they’re accurate.

One of the strongest points made during the session was to trust AI but always verify the output.

Whether generating reports, researching information or preparing customer communications, users should always check important facts before using AI-generated content. Dates, statistics, vehicle specifications and references should all be verified independently.

Tanya also recommended asking AI questions such as:

• Where did this information come from?
• Can you provide your sources?
• Is there anything in this response which you’re unsure about?

Giving AI permission to acknowledge uncertainty can reduce the risk of incorrect or misleading information making its way into customer communications or business decisions.

Ultimately, AI should be viewed as a research partner that supports critical thinking, not replace it.

4. Using AI safely

As AI adoption grows, so does the importance of protecting customer and business information.

Understanding the type of AI platform being used is key – Public versions of AI tools may use information to improve future models, while some business licences offer greater privacy protections. Organisations should therefore understand what tools are available, which are approved for use and what their policies allow.

Never copy personal or sensitive customer data into public AI tools. Instead, customer information should be anonymised wherever possible, using descriptions rather than names, addresses, phone numbers or other identifiable information.

For businesses handling customer information every day, clear guidance around data security and responsible AI use is essential.

5. A practical checklist for every dealership

We concluded with a practical checklist designed to help dealerships assess their current approach to AI.

The checklist encourages businesses to start conversations around a few key questions:

• Do you have an AI policy?
• Are approved AI tools clearly defined?
• Do colleagues understand how to use AI safely and effectively?
• Is there consistency in how AI is used across different departments?
• How do you verify outputs and ensure communications still reflect your brand and tone of voice?

Lou and Tanya also discussed the importance of removing any stigma around AI use – we’re all familiar with this, and it varies from business to business, often colleague to colleague. As more people discover practical ways to improve productivity, sharing examples and good practice can help organisations develop consistent standards while encouraging responsible use across the business.

Key takeaways

AI is already becoming a valuable tool across automotive retail. In an industry where things move fast and time is always short, AI can transform job roles by helping save time, improve efficiency and support better customer communications. However, successful use depends on more than simply giving people access to new technology.

By safeguarding use of AI – writing better prompts, verifying responses, protecting customer data and providing clear guidance for teams – dealerships can use AI with greater confidence while maintaining the quality, consistency and trust that customers expect.

If you have any questions about the session or would like further support with AI guidance, training or implementation within your business, contact the RTS Group team at webinars@rtsgroup.com.

Check out our new Guide to AI Fundamentals: What Every Professional Needs to Know for more detailed information.