Domain Intelligence

Questions we get a lot.

Plain answers about what Domain Intelligence is, who it's for, and what it takes to get started.

Under the hood

How is Domain Intelligence different from ChatGPT or generic AI?

Generic AI knows nothing about your business. It guesses. Domain Intelligence starts with a 4-5 hour session where we sit with your best operator or analyst and record how they actually think through their data: what they check first, what combinations signal trouble, what thresholds matter in your specific context.

That logic gets encoded and runs across your operation automatically every week. It has the guardrails of how your industry evaluates its own data. Think of it as a consulting project that never ends, not a chatbot that answers questions.

What does setup actually look like?

We sit with your best manager and record how they walk through their data. What they look for, what combinations mean trouble, what thresholds actually matter. That's the configuration, and it takes about 4-5 hours.

From there, Domain Intelligence runs those investigations across every location, every week, automatically. Most teams are up and running within a week.

What does an investigation actually look like?

When something looks off, DI doesn't just surface the number. It investigates by testing multiple hypotheses, tracing patterns across segments, and surfacing a root cause with a recommendation.

Instead of "revenue is down 15%," you get "revenue is down due to a 35% drop in the 25-34 age segment, and stores 541-543 can offset the loss." The full picture, not just the flag.

Does the system get smarter over time?

Yes. As your team reviews findings and flags corrections, those corrections get absorbed. The system learns your specific terminology and patterns, not generic ones. Accuracy improves through use, not through more configuration work on your end.

Does this work on top of our existing data stack?

Yes. DI sits on top of your existing data warehouse, BI layer, and operational systems. You don't replace anything. The one real requirement is that you have existing digital systems already capturing your operations. If that foundation is in place, DI adds the interpretation layer on top of it.

Common concerns

What makes this different from the BI tools we already use?

Your BI shows you what happened. Domain Intelligence tells you what it means and what to do about it. Most teams already have dashboards. The problem isn't access to data -- it's interpretation. Knowing which patterns matter, what combinations signal trouble, what to do next -- that knowledge lives in the heads of a few experienced people.

DI captures how those people actually think and runs that logic automatically, so everyone gets the insight without having to ask.

We already push out best practices. How does this help?

How's the adherence? Most operators agree to the plan and then things unravel. DI doesn't just distribute standards -- it monitors every location against them every week and flags the moment something starts to drift. The standard you set actually holds.

Won't AI just make things up or get it wrong?

The system runs on your encoded logic -- your thresholds, your patterns, your definitions of what good looks like. It's not AI running loose. And every week, your team reviews the findings and marks up what's right or wrong. That feedback goes back in and improves accuracy over time.

You stay in control. DI handles the volume you couldn't handle alone.

Will this replace our analysts?

No, it changes what they spend their time on. Most analysts are buried in "what happened?" requests and never get to the work that actually requires their judgment. DI handles that volume automatically, so they can focus on so what and now what.

It turns someone who's just keeping their head above water into a strategic thinker. Most people, once they see it, prefer it that way.

Is this only for multi-location retail?

No. The underlying pattern is the same anywhere you have repeated decisions that aren't being made as consistently as they could be. In hospitality, it's operational benchmarking -- labor per room, energy per occupied night -- that nobody else is serving. In sourcing and quality, it's pattern-matching across thousands of SKUs to eliminate redundant testing.

Wherever your best thinker's instincts aren't scaling, DI can encode them.

Practical details

Is there a benefit people don't expect going in?

The training material byproduct comes up a lot. When you encode your best operator's logic, you're also documenting your best practices in a structured way. New staff learn from the encoded expertise immediately instead of spending months absorbing knowledge that was never written down anywhere.

How much does Domain Intelligence cost?

Domain Intelligence is $299 per month with unlimited users and unlimited investigations. Enterprise pricing is available for organizations with 1,000 or more locations. Contact our sales team for details.