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Custom AI and data automation for growing businesses: Take recurring work off your team’s plate.

We build custom systems that prepare reports, check statuses, draft follow-ups and much more, connected to the tools you already use. Your people stay in charge of approvals and decisions.

Describe a recurring task See client work

A few sentences are enough to start. You’ll hear directly from the owner who designs and builds your system.

Your week, with the routine work handled

  1. Monday

    • Operations report sent , Automated
    • Invoices checked against jobs , Automated
    • Team meeting , Your team

  2. Tuesday

    • Permit statuses checked , Automated
    • Late-permit follow-ups drafted , Automated
    • Review and send follow-ups , Your team or automated

  3. Wednesday

    • New orders synced across systems , Automated
    • Job site walkthrough , Your team

  4. Thursday

    • New leads found and ranked , Automated
    • Choose which leads to call , Your team or automated

  5. Friday

    • Next week’s schedule drafted , Automated
    • Approve the schedule , Your team or automated

See more of what we automate, or tell us about your week.

Owner-led, from the first conversation to the finished system. Consulting and custom systems built around your business.

Data or IT team? See data engineering consulting

Systems built for clients

See what the systems do and where people stay involved. Client names are kept private.

See all client work

A fiber construction company

Permit follow-up across active jobs

A fiber construction company needed to keep track of permits across its active jobs, each with its own status, expected timing and office to follow up with.

We built a system that collects permit status into one view, checks each permit against when approval was expected, and uses AI to draft a follow-up email when one runs late.

What changes: Staff can see which permits need attention without checking each one, and they start from a prepared follow-up instead of a blank email.

How it works: Permit follow-up across active jobsTalk about a task like this: Permit follow-up across active jobs

Also built: a CRM fitted to how a client works, several QuickBooks Online integrations, and an AI-connected online store for an e-commerce business.

Have a task like one of these?

Or something else entirely? If the work runs on data, whether it lives in software, spreadsheets, inboxes, websites or anywhere else, we can build a system to handle it.

Describe a recurring task

Results

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Measured results from client work will appear here.

Each one is added once it’s measured and the client approves sharing it.

Client testimonials

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Client testimonial — approved quote to be added.

Name, role, and company will appear here once approved.

Quotes appear here with each client’s approval and attribution.

Who we work with

Our client work includes fiber and telecom construction and e-commerce, and we build for manufacturers, distributors, field-service teams, professional services firms and many more.

What does one recurring task add up to?

Use your own estimates to see the time going into it today. We’ll map out which parts a system can take over.

For each person.

Dollars per hour, wages plus overhead, if you know it.

The numbers start as an example: one person spending 6 hours a week. Change them to yours. Nothing you enter is sent anywhere unless you choose to include it in a message.

Hours a year
312
Full work weeks
7.8
Cost a year
Add an hourly cost to see this in dollars.

This estimates the time spent on the task today and, if you entered an hourly cost, its annual labor cost. We’ll discuss which steps can be automated and how you’d use the time saved.

Talk through this task

Start with a focused project. Build on the results.

Scope and cost are discussed with you before any work starts. Start with one focused task, check it with your team, then decide what comes next.

  1. Talk through the work

    What repeats, who does it, where the information lives, and what a good result looks like. No specification needed.

  2. Pick one job worth automating

    Agree on what it should produce, what it needs access to, where your people review it, and how you’ll measure the result.

  3. Build it and check it

    Connect the tools involved, build the system, and check the results with the people who’ll use it before anyone relies on it.

  4. Put it to work, then decide what’s next

    Your team takes over a working system, with safeguards built in and documentation to match. Then decide what to tackle next.

Who you’ll work with

The person who learns how your week actually runs is the one who designs and builds the system, and the one you talk to when something needs to change.

Our owner brings years of enterprise data engineering experience and a degree in cybersecurity. That experience includes systems designed to recover from failures, alert the right person and control access. The same care goes into every system we build for your business.

More about how projects run

Before you get in touch

Start with the work that keeps repeating. We’ll show you what a system can take off your plate and where to begin.

More questions and answers
What does it cost?

Each project is priced to its scope and the systems involved. We discuss scope and cost with you before work starts.

Do we have to replace the software we already use?

No. We connect to and build on the tools you already have: QuickBooks, spreadsheets, job and order systems, outside portals and more. Each tool’s connection options are checked at the start.

Will we need our own developer to keep it running?

No. Every system is built with safeguards, runs on its own and is easy to maintain, so it can be handed straight to your team, with documentation and alerts if a step fails. Anything that needs a developer later is covered by the support we agree at the start.

What if we don’t know what could be automated?

That’s a normal place to start. Describe where the time goes in a typical week, and we’ll find one focused job worth automating first.

Have a data or IT team that needs an engineer?

We also take on hands-on technical work: AWS data pipelines, Terraform, access reviews, fixing fragile pipelines and more.

Data engineering consulting Describe a technical project

What keeps landing back on your desk?

Describe it in a few sentences: what the task is, who does it, and roughly how often.

Describe a recurring task

Or email contact@schumacherdata.com