The repetitive, error-prone steps between your systems can run themselves. We map the process, then build the automation that removes the manual handoffs without removing the judgment that matters.
Automation works best when it starts with the process, not the tool. We map how the work actually moves today, find the steps that are repetitive and error-prone, and build the automation that handles them: data moving between systems, documents generated, approvals routed, exceptions flagged for a person. What stays manual is the judgment; what goes away is the copy-paste. See how we scope it →
A person spends hours moving numbers between systems that could hand them off automatically.
The process depends on someone remembering every step, and the cost of a missed one keeps growing.
Your process is specific enough that the automation platforms almost work and then quit at the important part.
Before we automate anything, you will have seen the mapped process and approved the number. Requirements by Design puts the whole workflow on paper first, the fixed bid is committed in the room, and the build arrives in sprints you can use. See the full method →
We document how the work really flows before we automate any of it, so we fix the process rather than freeze the mess.
Data and documents moving between your tools on their own, with no one in the middle rekeying.
Scanners, sensors, and machines on the floor, wired into the software that tracks them.
Judgment steps a rules engine can't handle, grounded in your data with a person in the loop.
The numbers that show the automation is working, in views your team can trust.
The checks, logs, and approvals that keep an automated process safe to leave running.
Each of these took work that used to be done by hand and built it into the software that runs the operation.
A custom furniture maker tracks every order, from intake to delivery, on a workflow platform we built. Between build phases it ran three years straight without a single billable fix.
→ ProofFor a supplier-side SaaS company we built a platform that monitors Amazon listings and flags minimum-advertised-price violations automatically, work that used to be done by hand.
→ ProofKERAMIDA is a global environmental, health, and safety firm. We built K-Port, a compliance portal that turns site management, inspections, and reporting into one guided system, and have maintained it since 2016.
→Automation and custom AI are two ends of the same idea: let the software carry the repetitive load and leave the judgment to people. See where they sit among the four kinds of hard on What We Build.
Describe the process and where it slows down or breaks. We'll reply within a business day with how we'd scope and build it.