The Challenge
What you're facing
AI automation projects fail when you don't understand the processes you're automating:
- Processes live in people's heads, not documentation
- Edge cases and exceptions aren't captured
- Subject matter experts are too busy to explain everything
- Automation built on assumptions breaks in production
- Incomplete process maps lead to incomplete automations
You end up automating the wrong thing, or automating it wrong.
The Solution
How Finna helps
AI interviews extract the detailed process knowledge that makes automation work.
Deep process capture
AI asks follow-up questions that surface hidden steps and exceptions
Interview everyone involved
Get input from every process participant, not just the documented owner
Automation-ready output
Synthesized insights are detailed enough to build workflows from
Validate before building
Confirm process understanding with stakeholders before coding
Build automations that actually work because you understood the process first.
Example
See it in action
Old way: 3 months building automation, then 2 months fixing edge cases
With Finna: 2 weeks of interviews, complete process map, automation worked first time
"We caught 15 edge cases in the interviews that would have broken our automation. Finna paid for itself in the first week."