Revenue Recovery
Most enterprises leak revenue in the same places. Refund drift, discount drift, settlement drift. Here is the playbook for finding the leakage and stopping it at the moment of decision.
The largest revenue recovery opportunity at most enterprises is not new pricing. It is consistency. Making the decisions you already made, every time, in line with the policy you already wrote.
The leakage is rarely fraud and almost always drift. Refund drift: an agent grants more than policy allows because the policy is unclear or buried in a system the agent does not have time to consult mid-call. Discount drift: pricing exceptions stack on top of pricing exceptions because the original list has been forgotten by the time the third one is approved. Settlement drift: small discrepancies in what the company promised a customer or a partner that compound into large variances at the quarter end. None of these involve anybody trying to take money. All of them result from systems that cannot enforce in the moment what the company already decided.
Traditional auditing catches these patterns three months after the fact. The corrective action is a process update, a memo, a training session. The money has already left. The shift that works is moving the check upstream: into the moment the decision is made, in line with the action, before the cash moves.
The realtime version
Every refund, discount, write-off, and settlement is checked against the policy library at decision time. Out-of-policy proposals are blocked or escalated, with the rule that fired and the citation attached. The agent or the AI sees the rule, can request an override with documented reason, and the override is logged. Recovery happens because leakage stops at source, not because somebody finds it after the close.
Where Navedas fits
Navedas runs the realtime decision layer for revenue-affecting actions. Every settlement, refund, discount, and write-off is checked against your policy at decision time, with the verdict, citation, and audit log attached automatically. Most customers see the recovery inside the first quarter.
Articles & resources
Revenue & Margin Recovery
The realtime decision layer for refunds, discounts, write-offs, and settlements.
Explore → SolutionAI Risk Containment
The runtime governance that catches drift at the moment of decision.
Explore → ResourceCase Studies
Quantified outcomes from live revenue-recovery deployments.
Explore → ToolQuarterly Exposure Calculator
Estimate the dollar leakage from settlement drift in your stack today.
Calculate →Frequently asked questions
What is revenue recovery?
Revenue recovery is the systematic discipline of identifying and recapturing margin that the business is losing through inconsistent decisions: refunds granted outside policy, discounts stacked beyond intent, settlements that drift away from contract. The recovery is not from new sales; it is from making the existing decisions match what the company already decided the rules should be.
Where does the leakage actually come from?
Three places dominate. Refund drift: agents (human or AI) granting more than policy allows because the policy is unclear or hard to access in the moment. Discount drift: pricing exceptions accumulating because nobody is checking them against the original list. And settlement drift: small discrepancies in commitments to partners or customers that compound into large variances over time.
Why doesn't traditional auditing catch this?
Because it audits after the fact. By the time the post-quarter review identifies the pattern, the money is already out the door, and the corrective action is a process change rather than a recovery. The shift that works is moving the check upstream: into the moment the decision is made, with the policy applied in line and the verdict produced before the cash leaves.
What does the realtime version look like?
Every refund, discount, and write-off is checked against the policy library before it posts. Out-of-policy proposals are blocked or escalated, with the rule that fired and the citation attached. The agent (or the AI) sees the rule, can request an override with documented reason, and the override is logged. Recovery happens because leakage stops, not because somebody finds it three months later.
Related topics
Stop the leakage at the moment of decision.
See how the realtime decision layer recovers margin in the first quarter, with citations and an audit log attached to every refund, discount, and settlement.