Step 01
Map and measure the process
We sit with the people who do the work and diagram every step: where the data starts, where it needs to go, what gets re-entered. Then we measure how many touches it takes and how long.
BaselineFix the task that eats your team's week.
Pick one task your team repeats. We build a working version, test it on your real cases and keep it running after launch.
Your task
Automation
Your systems
Always on
The jobs nobody wants
Most businesses have one job nobody wants: the weekly report, sorting incoming requests, or typing the same numbers into a second system. It matters, so it can't be skipped. It's repetitive, so it wears people down.
Timesheets go into one platform. Cost info gets re-entered into another. Journal entries get typed into a third. By the time it's done, three people have touched the same numbers and nobody's sure which version is right.
It works until someone misses a row, transposes a number, or goes on vacation and the whole chain stops. Your team ends up doing a machine's job instead of the work only they can do.
How it works
How we build it
Most builds take 6 to 10 weeks, and they end with a measured result.
Step 02
Write the spec
What it does, what it doesn't do and how we'll know it worked, written down and signed off before we build. The user guide starts here too.
Spec Step 03
Build and check it
We build in small pieces and review and test every change against your real data, including the unusual cases.
Checked Step 04
One real job first
One person on your team does one whole job with it, on your own data, before it goes wider.
First user Step 05
Measure it again
Once your team uses it on their own, we measure the same way we did at the start. That before-and-after is the result you're paying for.
After Step 06
Keep it running
Errors and issues go directly to ThinkAI. When your process or a vendor's system changes, we update it.
Support What you get
What you get from a build
One workflow, built and working
The task you picked runs end to end on your data, across the two or three systems it touches.
A measured result
The same measurement before and after, so you can see the drop in touches and time.
Written down
What goes in, what comes out and who checks it, plus a user guide, so the job doesn't live in one person's head.
Kept running
Errors and issues go directly to ThinkAI. Your team knows how to use it and who to call.
A construction company's timesheets and job costs
A construction company tracks field timesheets in Procore: who worked where, and for how many hours. That time gets entered into ADP Workforce so employees get paid. Then someone pulls the actual labor cost from ADP (what each employee really costs, beyond hours) and creates journal entries in QuickBooks. Those real job costs flow back into Procore so project managers can see whether they're making money or losing it on every project.
Three systems. Three manual handoffs. One person doing all of it, all day, every day.
When a number is wrong, employees get the wrong paycheck. The company also gets the wrong job cost, so it doesn't know its true margin and bids the next project on bad data.
We mapped the entire flow, built the automation, and deployed it. Employees get paid right. Job costs land in Procore automatically. And the person who used to spend every day moving numbers between three systems does real work now.
We keep it running after launch
You've probably seen the pitch: "We'll connect your systems and save you hours!" Then they hand you a Zapier flow, send an invoice, and disappear.
Six months later, a vendor updates their system and the whole thing breaks. Nobody notices until your data stops flowing and someone downstream is working off stale numbers.
We look after what we build. We host it where it makes sense, and when something breaks, the error or issue goes directly to ThinkAI and our team fixes it. You hear about it in a status report.
Related
Other ways to start
Business HQ
A homepage for your business that shows what needs attention today, built around the questions you need answered.
AI Audit
Find out where AI is worth the money: what to automate, what to change and what to leave alone. You keep the roadmap either way.
FAQ
Frequently asked questions.
Q·01 Do we need to be a Think client already?
No. A lot of this work comes from our managed IT and AI training clients, because those relationships surface the problems automation solves. If you know what you want automated, we're happy to talk.
Q·02 How long does it take?
Most builds take 6 to 10 weeks, from mapping and measuring the process to the after measurement. The spec is where we set the exact timeline.
Q·03 How do we know it worked?
We measure the process before we build and again after your team uses it on their own. You see the difference in touches and time.
Q·04 What tools do you use?
Whatever fits the job, from automation tools to custom code. We don't force a platform.
Q·05 Where does the automation run?
Either on our infrastructure or yours. Pricing differs depending on where it lives. We'll recommend the option that makes sense for your environment.
Q·06 What happens when something breaks?
Errors and issues go directly to ThinkAI, and our team investigates and fixes them. You don't need to monitor anything.
Q·07 What if my process changes?
We update the automation. We stay on it after launch, so if a vendor changes their system or your workflow evolves, we handle it.
Q·08 Do we need an AI Audit first?
No. If you know which task you want fixed, start here. If you're not sure where the time goes, the AI Audit finds it.
Next move
Tired of being the glue between your systems?
Tell us what's eating your team's time and we'll tell you if automation makes sense. No pressure, no pitch deck. Just an honest conversation about what's worth automating.