We start inside the operation.
We spend time with the people who do the work and learn the exceptions nobody wrote down.
Applied AI for mid-market companies
We work inside your business, learn how it really runs and build AI systems that read, check and prepare the work your people do by hand. In the tools you already use, with your team approving what goes out.
For companies with 20 to 500 people · Sales · Finance · Operations
One process, start to finish
Illustrative exampleWhat comes in
“Mike and Luis, eight hours each at 512, framing.”
Ready for your team
Your team approves before anything goes out.
What comes in
A PDF attached to an email at 8:42.
Ready for your team
Your team approves before anything goes out.
What comes in
A web form filled in at 9 pm.
Ready for your team
Your team approves before anything goes out.
Works with your tools
Built with
Built for you
Describe your company in your own words. In a few seconds we put together a page from our real client work, with the source of every part.
Why Alma Intel
Those engineers sit with the people doing the work, learn the business and stay until the system delivers. That model is priced for enterprise budgets. We bring it to companies with 20 to 500 people.
We spend time with the people who do the work and learn the exceptions nobody wrote down.
You get a working system in your own tools. We stay to run it, fix it and extend it to the next process.
Before we start we record how long the process takes, so the result is a number you can check.
What we build
Clients
Construction
Consumer goods
Public sector
How we work
Your process, in plain sight
Step 01
We follow a process with your team and identify where an intervention makes sense.
Workflow design
Step 02
We agree on inputs, rules, controls and scope before building.
Testing what actually happens
Step 03
We connect your tools and integrate AI. We test the exceptions too.
Ready for day-to-day work
Step 04
We support the rollout and document how it works. Then we stay, with a set number of hours each month to run and improve it.
Working notes
Demonstration · Finance
Follow one stay across two months. The money is the same; the question the report answers changes.
Read the noteDecision note · Data
A match helps you find a record. Deciding what to do with it needs more context.
Read the noteWorking note · Applied AI
What should happen between AI reading a value and a change in your books.
Read the noteLet’s talk about the work