The Business Case: ROI, Compliance, and Customer Experience

Pat: Hey everyone. Welcome back to the sixth and final episode of Inspect Point’s AI in Fire Protection series. Along the way, we’ve covered everything from what AI is to different types of AI tools and a blueprint for running pilots. We’re getting into one of the most important aspects of AI in your business: creating a business case for investing in and evaluating AI. We’re going to give you a repeatable framework: inputs, formulas, and a real-world example you can adapt to your numbers.

Jenn: As an executive, manager, or functional lead, you’ve probably all heard claims like: “We’ll make a ton more money if we just buy, hire for, or invest in this project.” For example, what if a single small AI pilot could free up 275 hours a month, cut re-visits, and turn hours saved into real profit? Well, today we’ll walk through how to create a business case to back into those results and show real value from your AI tests.

Pat: ROI is simple in theory if you define the right inputs. It’s important to spend a bit of time defining your expectations around how the tool will help. Is it time saved? Is it higher quality? Is it less rework? You’ll then need to track down your baseline data and metrics to compare against before and after. From there, you can test your model and try adding layers onto it to capture the full impact of your tool.

Pat: We’re going to get into the weeds a little bit here, but hopefully it will help illustrate the thought process and give you a concrete example for evaluating an AI tool. Let’s take Inspection Assistant as our example. Here’s the math: Time saved per job times labor rate times monthly volume equals real dollar savings.

Jenn: Let’s walk through the formula with real numbers. Say you have 10 technicians running 5 inspections each per day, 22 workdays a month. That’s 1,100 inspections per month. If Inspection Assistant saves 15 minutes per inspection, and your fully-loaded labor cost is $35 an hour, that’s $9,625 in labor savings per month, or over $115,000 a year.

Pat: But that’s just direct time savings. There’s also the compliance and risk reduction angle. Fewer re-visits because reports are cleaner the first time. Better photo completeness. Accurate code citations. AHJ-ready packages. Each re-visit costs you money in labor, fuel, and customer satisfaction.

Jenn: Then there’s quote velocity and win rate. Faster quotes increase close rates. If you’re turning around proposals in 24 hours instead of a week, you’re more likely to win the job. A 5% improvement in win rate on a $200K monthly proposal volume is $10K in additional revenue. Over a year, that’s $120K.

Pat: So when you’re building your business case, here’s what to include: The time savings calculation we just walked through. The reduction in re-visits and associated costs. The quote velocity improvement and revenue impact. And on the cost side: your AI subscription cost, any enablement or training time, and ongoing governance.

Jenn: A good rule of thumb is that net monthly benefit should exceed total monthly AI cost within 90 days. If it takes longer than that, you might need to tweak your pilot or pick a different use case.

Pat: Here’s the key: be explicit about your success criteria upfront. Capture your baseline metrics. Run the pilot. Measure the results. And hold yourself accountable. Don’t just run a pilot and forget about it. Actually look at the numbers.

Jenn: A business case isn’t just an email or PowerPoint. It’s a repeatable formula for testing. Once you build it for one AI tool, you can apply the same framework to the next one.

Pat: If you can measure it, you can manage it. And AI’s job is to move the needles you already care about. Don’t buy the shine; buy the results. Pro tip: An LLM like ChatGPT or Claude can help you build out a framework for developing a business case or measuring ROI.

Jenn: That’s a wrap on our six-part series. We’ve covered what AI is, the types of tools available, how embedded assistants work, why data structure matters, how to run a 30-day pilot, and now how to build the business case. Thank you for joining us on this journey.

Pat: If you’re ready to take the next step, book a readiness call with us. Bring your last month of inspection metrics, and we’ll help you run the numbers. Thanks for watching, and we’ll see you out there.