AI Process Automation
We automate repetitive business workflows, like intake, invoicing, scheduling and reporting, using AI where judgment is needed and plain automation where it is not. Hours saved are measured before and after.
Problems we solve
Skilled people spend hours on copy-and-paste work.
Rule-based automation breaks on messy emails and documents.
Work slips through the cracks between tools.
What we build
- Intake and triage Emails, forms and requests read, sorted and routed automatically.
- Invoice and document processing Data extracted, checked and entered into your systems.
- Reporting Weekly reports and summaries compiled from your tools.
- Follow-ups and reminders Customers and staff nudged at the right time, with the right context.
- Human approval steps People approve exceptions instead of doing every step by hand.
How it works
- Measure Time how the workflow runs today.
- Design Decide what AI handles, what rules handle, and where people approve.
- Automate Build, test and connect it to your tools.
- Prove Measure hours saved and error rates against the baseline.
How to start
Most clients start with an automation pilot: one workflow automated end to end in 4 to 6 weeks.
Questions about AI Process Automation
Which workflows are good candidates?
High-volume, repetitive work that follows a pattern but needs some judgment, such as reading emails, documents or forms.
Do you use tools like Zapier, Make or n8n?
Where they fit, yes. For complex or high-volume workflows we write custom code that is easier to test and maintain.
What happens when the AI is unsure?
It hands the case to a person with the context they need. Exceptions are part of the design, not an afterthought.
How do you measure the results?
We time the workflow before we start and track hours saved, turnaround time and error rates after launch.