AI & Data for Business Leaders

Your AI should know your business. We make sure it does.

Out of the box, AI tools don’t know your numbers. They guess. We connect an AI analyst to your own business data — so when you ask about your numbers, it looks them up instead of filling in the gaps.

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Your AI Analyst — powered by Lotsight
You
You
Which sales rep closed the most revenue last month, and how does that compare to their average?
AI
Your AI Analyst
Marcus Webb — $312,400 in September. That’s 38% above his 6-month average of $226,100, driven mostly by three fleet deals that closed in the last week of the month.

Second place was Sarah Chen at $284,800, who has been consistently strong all quarter.
Example answer · sample data
~30 days
Our onboarding plan from first call to a working AI analyst on your data
Daily
data refresh from the exports your systems already produce — nobody pulls reports by hand
Plain English
questions, typed or spoken — no report building, no SQL
The Problem

AI is only as trustworthy as the data behind it.

Most AI tools are trained on the internet, not on your business. When you ask them about your numbers, they fill in the gaps. Confidently. That confidence is the problem.

Problem 01

The confident wrong answer

You ask your AI which region performed best last quarter. It gives you a polished, detailed response. It sounds completely right. But it’s working from patterns and guesses, not your actual data. By the time someone catches the error, a decision has been made based on it.

Problem 02

The weekly report ritual

Every Monday, someone exports CSVs, pastes them into a spreadsheet, formats them, and emails them. The same report, every week, done by hand. The information exists in your systems. Pulling it manually isn’t analysis — it’s a tax on your team’s time.

Problem 03

Three dashboards, three answers

You have dashboards. They show different numbers for the same metric. Nobody is sure which one is right. Decisions slow down while people argue about which number to use, or they move forward on a hunch and hope it was the right one.

How It Works

We connect your AI to your actual data.

The difference between an AI that guesses and one that knows is what it’s connected to. We build that connection — and we keep it current.

1

We connect to your sources

Your CRM, your sales system, your spreadsheets — we bring the reports they already export into one place. If a system can export its data, we can usually work with it.

2

We check the numbers with you

We map each export, check that every scheduled file arrives, and compare key figures with your own reports before go-live — so your team starts from numbers they recognize.

3

Your AI answers from your data

Now when you ask a question about your business, the AI analyst looks the numbers up in that data before it answers, instead of guessing from typical patterns.

Without Lotsight — generic AI
“Which product line drove the most profit last quarter?”
Based on typical patterns in the automotive industry, new vehicle sales tend to generate the highest margins, particularly luxury segments. However, F&I products and certified pre-owned vehicles often provide strong supplemental revenue…
With Lotsight — connected to your data
“Which product line drove the most profit last quarter?”
Used vehicles — $487,200 gross profit, ahead of new ($312,800) and F&I ($198,500). Used vehicle margins expanded 14% vs Q2, driven by CPO unit mix and improved trade acquisition. New vehicle gross declined due to floor plan costs on aging SUV inventory.
Example answer · sample data
Why Lotsight

You shouldn’t have to wonder which number is right.

The goal isn’t more data. It’s fewer moments where you’re unsure which number to trust. We bring your numbers into one place and give you an analyst that answers from them.

We work with the systems you have

We work from the exports the tools you already use produce — your CRM, your DMS, your spreadsheets. There’s no migration and your systems stay the source of record. Your data stays yours.

It answers from your data, not the internet

The AI analyst looks your numbers up before it answers, instead of filling gaps with typical industry patterns. Like any report, it can still be wrong, so big decisions deserve a second look.

It stays current on its own

Your data refreshes automatically, usually daily, from the exports your systems already send. You don’t pull reports or update spreadsheets — you just ask.

Weeks, not quarters

Most data projects drag on indefinitely. We scope to a specific set of business questions you can’t answer today and aim to deliver a working AI analyst within about 30 days. You’ll have something real to evaluate, not a roadmap.

Get Started

Tell us the question your business can’t answer today.

Every engagement starts with one question you should be able to answer but can’t. Drop your email and we’ll have a direct conversation — no pitch, no agenda, just a look at whether we can help.

No sales calls unless you want one. We respond within one business day.