Evaluating AI for Dealerships: Focus on Outcomes, Not Features

Not long ago, most conversations about AI started with the same question:

What can AI do?

Today, dealers are asking something much more practical: 

Will it actually make a difference in my dealership?

That's an important shift.

As AI capabilities continue to expand, it's becoming easier to find solutions that promise to automate tasks, improve customer experiences, and help teams work more efficiently. But with so many new announcements and features entering the market, evaluating AI has become more challenging, not because there are too few options, but because there are so many.

The dealerships seeing the greatest value from AI aren't necessarily the ones adopting the most AI. They're the ones taking the time to understand where it can solve real business challenges and create measurable value.

Start With the Business Problem

When evaluating AI, it's easy to get caught up in demonstrations, feature lists and the latest announcements. But technology rarely creates value on its own.

Instead, start by asking: What challenge are you're trying to solve?

• Maybe Advisors are spending too much time searching for information.
• Maybe Sales teams are buried in repetitive follow-up tasks.
• Maybe managers are trying to make decisions using information that's spread across multiple systems.

Those are business challenges. AI is simply one way to help solve them.

Start with the problem — not the technology — to make better decisions and get long-term outcomes.

The Best AI Supports Existing Workflows

For a while, AI felt like something separate. It was a new technology to learn, evaluate and understand. Today, that's changing.

Increasingly, AI is becoming part of the software and workflows employees already use every day. Rather than asking people to adopt another application or completely change how they work, incorporate AI to help them accomplish familiar tasks more efficiently.

That could mean Reducing repetitive work, surfacing the right information at the right time, or simply removing a few extra clicks from a process employees repeat daily.

The best AI often feels invisible. Employees aren't thinking about the technology itself; they're simply noticing that their work is easier.

Measure AI by Business Impact, Not Features

When new technology emerges, it's natural to assume that more capabilities automatically create more value. In reality, dealerships rarely benefit from technology simply because it does more.

Instead, ask questions like:

• Does this help solve a real business problem?
• Will employees actually use it?
• Does it fit naturally into the way we already work?
• Will it help us serve customers better or make better business decisions?

Those questions usually reveal far more than a feature comparison ever could.

A Practical Framework for Evaluating AI

As AI continues to evolve, the way we evaluate it should evolve, too. The conversation is no longer just about whether a solution includes AI. It's about whether AI helps employees work more efficiently, supports better decisions, improves the customer experience, and delivers meaningful business value.

Technology should never be the goal. Better business outcomes should be.

Before you evaluate an AI solution, take a step back and ask:

• What business problem are we trying to solve?
• How will this improve the way our team works?
• How will we measure success?
• Will this create lasting value for our dealership?

Those questions won't produce answers to inform every decision, but they'll help ensure the conversation starts in the right place. Because the question isn't whether your dealership should use AI. It's how can you make sure it's solving the right problems?

In our first Data-Driven Dealer Series session Aug. 18, Brian Abrams, VP, data and AI product strategy, along with Manoj Bapat, principal product manager, AI and agentic platform, will discuss how dealerships are evaluating AI today, where they're seeing meaningful business value, and what to consider as AI continues to evolve.

Learn more and register for the Data-Driven Dealer Series here