---
title: DataAxe | AI-Powered Business Intelligence
description: DataAxe builds Power BI dashboards, AI-assisted estimating, and utility billing analytics for franchises, contractors, fabricators, and municipalities.
image: https://dataaxe.net/hubfs/dataaxe-social-card.jpg
---

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AI-Powered Business Intelligence

# Answers you can act on Monday morning.

Power BI dashboards, AI-assisted estimating, and billing analytics for operators who need the numbers right the first time.

[Book a 30-minute call →](https://meetings.hubspot.com/prgerber) [Get the Monday KPI guide](https://dataaxe.net/gm-scorecard?hsLang=en)

Franchise · Construction · Fabrication · Municipal

02 · Construction estimating

## Estimate in hours, not days.

DataGrade turns a site into a grid and prices it cell by cell. On the Ten Arrows NW 150th Street bid it processed 8,736 grid cells in 3 hours. The same takeoff by hand took about three days.

8,736 **cells**3 hrs **vs. ~3 days**$1.457M **bid**

03 · Franchises & multi-unit

## Know which location needs you this week.

One screen for the owner and the GM: sales pace, labor, and the variances that need action. Built in Power BI on 400+ DAX measures, fed from your accounting and POS systems.

400+ **DAX measures**QuickBooks OnlineWeekly threshold alerts

04 · Municipal utilities

## Catch the billing error before the customer does.

BillSentry runs four agents over utility billing: rate-code validation, a pre-cycle scan, a customer-service assistant, and a weekly KPI digest.

4 **agents**Pre-cycle scanRate-code validation

05 · The answer

## One number you trust, every Monday.

Every DataAxe build starts with the decision you need to make, then works backward to the data that answers it.

[Book a 30-minute call →](https://meetings.hubspot.com/prgerber) [See the work](https://dataaxe.net/ai#work)

01 / 05Raw data

[Skip intro ↓](https://dataaxe.net/ai#services)

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**§ 01  Also from DataAxe**Sheet 01 / 07

## More than dashboards.

The same engineering background that shapes the analytics is available directly, for fabricators, operators, small businesses, and firms connecting their systems to AI.

S-01

### Engineering for fabricators

Design-basis and calculation packages for shop-built equipment, including UL 142 aboveground storage tanks. Available as a monthly retainer.

S-02

### Emissions-compliance engineering

Flare, combustor, and vapor recovery design support for oil and gas operators working through OOOOb requirements.

S-03

### AI system integrations

Python and MCP-server connections that let AI tools work with your practice-management and operations data, as built for Tipton Family Law's Clio data.

S-04

### Websites for small businesses

A simple, fast website built to bring in work: a clear page for each service, a quote-request form, and a layout that works on a phone. You own the site when it's done.

**§ 02  Work**Sheet 02 / 07

## Case files.

What was built, what it ran on, and what it produced.

File 01 · EstimatingTen Arrows

### Ten Arrows

A $1.457M earthworks bid, estimated in 3 hours instead of about 3 days.

8,736.

Grid cells processed by DataGrade

Scope

NW 150th Street earthworks bid

Tool

DataGrade, AI-assisted grid estimating

Stack

Python

Time

**3 hrs** vs. about 3 days by hand

File 02 · Franchise healthBI

### Franchisee

A weekly Chairman dashboard built around a $26K/month threshold.

Stack

Power BI · DAX · QuickBooks Online

Build

**400+** DAX measures

File 03 · GM operationsBI

### Franchisee

A GM weekly call dashboard drawing on three source systems.

Stack

Power BI · DASH · Sage · CDATA

Build

**422+** DAX measures

File 04 · Equipment designEngineering

### Double D Welding & Fabrication

A design package for a three-size double-wall diesel tank line.

Scope

UL 142 aboveground storage tanks

Sizes

**1,000 / 5,000 / 10,000** gal

Output

Spec sheets, calculations, worked examples

File 05 · Legal practiceAI

### Tipton Family Law

A Clio MCP server that connects matter data to AI tools.

Stack

Python · FastMCP · Clio

**§ 03  How it works**Sheet 03 / 07

## From first call to running system.

A short, fixed-scope path. You know the cost and the deliverable before any build starts.

01

### Scope

A 30-minute call to define the decision the data has to support and what already exists.

02

### Design

A written plan with metrics, sources, and deliverables, and a fixed price for the build.

03

### Build

Model, dashboard, or tool built against your real data, checked before handoff.

04

### Run

Documentation and a walkthrough at handoff, with optional monthly support.

**§ 04  About**Sheet 04 / 07

## Built by an engineer who has run the operation.

DataAxe is an engineering-led analytics practice. Every build is designed around how the operation actually runs, not how a template assumes it does.

Founder

Paul Gerber

Training

Chemical engineering, University of Oklahoma

Field

20+ years in process operations, primarily oil and gas

Tools

Python, Power BI and DAX, Monte Carlo simulation, applied AI

Writing

[dataaxe.substack.com](https://dataaxe.substack.com)

**§ 05  Questions**Sheet 05 / 07

## Asked before the first call.

Don't see yours? [Ask it on a call.](https://meetings.hubspot.com/prgerber)

What tools do you use?

Power BI and DAX for reporting, Python for pipelines and automation, and the Anthropic API for AI features. Builds connect to the accounting, POS, and operations systems you already run.

Do you work outside Oklahoma?

Yes. Most engagements run remotely, with a screen-share walkthrough at each milestone.

How is pricing structured?

Dashboards and tools are fixed-scope projects priced from the deliverable. Ongoing work is a monthly retainer. DataGrade estimating is priced by site size.

What access do you need to our systems?

Read access only, limited to the sources in the agreed scope. You hold the credentials and can revoke them at any time.

**§ 06  Free guide**Sheet 06 / 07

## 10 Numbers Every Franchise GM Should See on Monday Morning

The KPIs built into DataAxe franchise dashboards, with the DAX logic behind each one and the level at which each number should trigger action.

1. Weekly sales against threshold
2. Labor as a share of sales
3. Prime cost trend
4. Location variance ranking
5. Six more, with the DAX for each

[Get the free guide →](https://dataaxe.net/gm-scorecard?hsLang=en)

10 Numbers Every Franchise GM Should See

DATAAXE · GUIDE 01

**§ 07  Start a project**Sheet 07 / 07

## Tell us the decision you need to make.

You'll get a recommendation on what to build first, what it will cost, and what to leave alone.

Prefer to talk now? [Book a 30-minute call →](https://meetings.hubspot.com/prgerber)

### Request a scoping call

Paul replies to every request by email.

What do you need? \* A scoping call for a project A website for my small business Engineering support

Name \*

Email \*

Company

What should the data answer?

Send →

FirmDataAxe LLC · AI-Powered Business Intelligence

DrawingDA-WEB-001

Rev / DateA · 2026

Links [Work](https://dataaxe.net/ai#work)[Substack](https://dataaxe.substack.com)[Book a call](https://meetings.hubspot.com/prgerber)

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