Every system in your stack passes its own check.The money goes missing between them.
xfactrs checks the handoffs. 500+ control points across quote-to-cash, on every transaction, every day.
Six systems. Five handoffs. Nobody owns the difference.
Discount added after approval
Amendment signed, billing schedule unchanged
Usage recorded, never invoiced
Short payment cleared as paid in full
Credit posted with no approval behind it
Your stack is not broken. The handoff between its systems was simply never anyone's job.
Five things that hold up under a follow-up question.
Independent revenue assurance layer
Validates CRM, CPQ, contracts, provisioning, billing and payments against each other, without replacing anything you run. Catches what billing tools cannot see, because no billing tool holds all six records.
500+ controls, pre-built by practitioners
Subscription revenue logic ships with the platform. Detection starts on day one instead of after a rules project.
It knows an amendment from an error
An approved mid-term change, an ASC 606 timing difference and a broken billing rule look identical to an anomaly model. Ours separate them, so the exception queue stays workable.
Every anomaly arrives with its root cause
Source system, root cause, dollar impact and owner, tracked through resolution. Then monitored to see whether the same pattern comes back.
Deterministic controls, agentic reasoning
The same inputs give the same answer every run, so an auditor can rerun it. Cost does not move with token volume, and a better model does not mean a rebuild.
One control layer, running continuously. Leakage detection, reconciliation, audit evidence and close readiness all come off the same set of checks.
Five numbers we will stand behind in a reference call.
Every figure came from a live deployment, not a projection. Client names are withheld by agreement.
MGI Research reports that 42% of companies experience revenue leakage, typically 3 to 7% of top-line revenue each year. We would rather show you one real exception from your own systems than ask you to apply a benchmark to yourself.
“My gut feel has a system and facts to back it up now.”
CFODo not take our word for any of this. Take fifteen days.
Connect one quote-to-cash system. Inside fifteen days we show you a real revenue exception from your own data, with the root cause traced and the dollar figure attached.
It will not produce a total leakage number. Nobody can measure that in fifteen days, and any vendor who offers one is estimating. One verified exception from your own systems is usually enough to end the debate.
Read-only connection
One technical contact, read-only API access to a single quote-to-cash system. No migration, nothing written back.
Controls start running
The 500+ control points are already built, so detection begins as soon as data flows. Nobody writes a rule.
Exceptions surface and get traced
Each one arrives with the system and field that caused it, the dollar impact, and an evidence record attached.
You see one real finding
From your data, not a benchmark. Your team decides whether it is worth fixing, and whether it is worth looking for the rest.