Automate the work between the tools.
Move routine work forward with clear rules and human control.
The starting point
Your team spends time copying information, checking requests, and chasing the same approvals.
What changes.
We build workflows that collect details, check rules, update records and notify the right person. Where the task calls for AI, we test it against real requirements before putting it to work.
A working example
Keep approval with the quote.
An unusual discount needs your decision. The price and approval stay together through the handoff.
- Review the exception
- Approve the price
- Prepare the handoff
Demonstration. Example records stay in this tab. No external system is contacted.
What we check first
We test routine work and exceptions before connecting live systems. The quote demo holds a quote for human approval and lets you retry an interrupted handoff. It uses fixed rules and example records, with no AI call.
- We define which steps can run automatically and what happens when information is missing or a service fails.
- AI output can be wrong. Any AI use needs agreed data access, testing, and human review where necessary.
Support after launch
We scope support around failed tasks, connection changes and updated rules. AI components need additional review when models or source information change.