Too late
Reporting happens after money has already left.
A support rep approved a $1,800 refund on a churned enterprise account. The dashboard showed it 48 hours later. Finance found out at month-end close.
Why Axiru
Detecting leakage after execution is not the same as governing it before money leaves
Dashboards report the past. Axiru lets you run shadow mode simulation on your last 90 days first, then check before sending when you are ready.
Failure modes
Where current systems break
Most stacks detect problems too late.
Too manual
Edge cases rely on inconsistent human judgment.
Routing a ticket to a finance manager is not the same as evaluating whether the refund is above threshold, within prior concession limits, and outside the self-serve approval window — before execution.
Too fragmented
Evidence is spread across tools instead of one clear record.
Policy is in Notion. Approval is in Slack. Execution is in Stripe. Audit asks for the rationale. You spend three days reconstructing the record.
Test first
You don’t have to believe this — you can test it.
Run shadow mode on your own history and inspect outcomes in minutes.
Operating model
What changes with Axiru
A single flow from request to policy check to outcome record.
01
Intent
Refund request arrives with actor context, amount, reason, and historical signals.
02
Policy
Axiru evaluates policy versions, thresholds, and exception paths before execution.
03
Decision
Outcome becomes allow, block, or approval with rationale and evidence attached.
04
Execution
Only authorized actions proceed, then the full trail is written into the ledger.
Team impact
Each team’s win makes the next team’s win possible.
Finance
Protect margin, enforce thresholds, and make internal controls reviewable.
Before Axiru: policy lives in a doc no one checks.
After Axiru: policy is the execution gate — enforced, versioned, and evidenced.
Support
Keep routine cases moving while only escalating decisions that require judgment.
Less than 5% of refund volume typically reaches human review. Your team handles the other 95% without a manual ticket.
Engineering
Use a defined decisioning layer instead of stitching policy into every downstream system.
Stop shipping refund logic into your billing service, your support tool, and your CRM. One layer. One source of truth.
Next step
The argument above is visible in the product.
Shadow mode shows you what policy would have done on your last 90 days of Stripe activity — before anything goes live. Everything described on this page has a screen. We’ll show you in 30 minutes.
Start in shadow mode first. Move to live enforcement later.