Each saved run links the check version, entered values, sources consulted and result within its limits. This lets the team review the same evidence; separate databases are not guaranteed to show one identical moment in time.
Monitoring
Check one business situation across multiple systems.
Run a reviewed check with an order, payment or another agreed identifier. See the combined result, which sources responded and the saved run the team can return to.
Keep a check private or share it with the project, choose who edits it, and distinguish working from published versions. Compare changes and discuss findings. The user's current permissions are checked when a check runs and when its result is read.
Return to the same result and see where it came from.
Each saved run links the check version, entered values, sources consulted and result within its limits. This lets the team review the same evidence; separate databases are not guaranteed to show one identical moment in time.
Prepare a check once. Let the authorised team use it again.
Keep a check private or share it with the project, choose who edits it, and distinguish working from published versions. Compare changes and discuss findings. The user's current permissions are checked when a check runs and when its result is read.
Business situations
See the example
What happened to this payment?
Connect channel, processing, ledger and settlement records. See which stages are confirmed and where a record or explanation is still missing.
↗Was this request really abandoned?
Compare application, branch and request records. Separate completed, cancelled, open and unresolved journeys before drawing a conclusion.
↗Next step
Start with the flow that cannot afford ambiguity.
Bring the systems, owners, rules, delivery obligations and evidence requirements that matter.
Discuss a critical flowIn brief
What does this part of advanexus do?
Run a reviewed check with an order, payment or another agreed identifier. See the combined result, which sources responded and the saved run the team can return to.
What should I check before using it?
Each saved run links the check version, entered values, sources consulted and result within its limits. This lets the team review the same evidence; separate databases are not guaranteed to show one identical moment in time.