What is AI workflow automation?
Classic automation moves data between systems by fixed rules. AI workflow automation adds the steps rules can't handle: reading a PDF, understanding an email, deciding which bucket a request belongs in, or drafting a reply for a person to approve.
Workflows worth automating first
- Document intake: invoices, statements and forms read into clean data (see the invoice workflow case study).
- Lead handling: new inquiries enriched, scored and routed in minutes.
- Follow-ups: reminders and status updates sent on schedule.
- Research and monitoring: the sites your team checks daily, checked by a system (see the lead engine).
- Reporting: weekly numbers assembled and sent without anyone building a spreadsheet.
n8n, Zapier or custom code?
For a few simple steps, n8n or Zapier is the right answer and cheaper. Custom code wins when the workflow has messy data, many edge cases, sensitive information, or volume that makes per-task pricing expensive. Read n8n vs custom code automation.
How we build it
- Map the workflow as it runs today, including who touches it and where it stalls.
- Agree a fixed scope and price within 24 hours of the call.
- Build with weekly working versions, then run it on real data.
- Hand over with monitoring, alerts and documentation.
Frequently asked questions
What is AI workflow automation?
Automation that connects your systems and uses AI for the steps that need reading or judgement, such as extracting data from documents or sorting requests.
How much does AI workflow automation cost?
Our Data & Automation Engine starts at $6,000, fixed price, and takes three to six weeks.
Should I use n8n or Zapier instead?
For simple workflows, yes. Custom code is better for messy data, many edge cases, sensitive information or high volume.