Expert Review
One fixed-scope session on a single payment or dispute question, ending in a written action memo.
You get
A 2-4 page action memo; prioritized risks and next actions; assumptions and limitations in writing
Request this review →Find the avoidable loss in chargebacks, refunds and fraud alerts.
Fixed-scope expert reviews and data-driven audits for cross-border merchants and payment teams. We work from your flows and sanitized data - never your production systems.
Fixed scope · No production access · No result promises
Summary
Dispute rate looks fine, but net result does not.
A refund/CDRN/RDR overlap is likely creating avoidable loss. The next step is not more data - it is a clean ownership and deadline map.
14 cases sampled
3 workflow breaks
0 PAN stored
| Signal | Action | Owner |
|---|---|---|
| RDR or CDRN overlap | Separate refund lane before representment | Ops |
| Missing evidence timestamp | Request gateway event export | Payments |
| Deadline ambiguity | Create single case state machine | CS/Ops |
Sample output · synthetic data
If any of these sound familiar
Fraud alerts keep arriving even after 3DS liability shift.
RDR, CDRN or Ethoca overlap - or the same case gets refunded twice.
Dispute win rate looks fine, but net results do not.
Nobody can say who owns a case, a deadline or a refund.
Services
Three fixed-scope services. Pick one question or dataset; get one written result.
Chargeback Leakage Audit
A structured review of ~90 days of sanitized transaction, refund, dispute and alert data.
You get
A KPI baseline with defined denominators; loss findings with evidence; a 7 / 30 / 90 day remediation plan
Request a scoping call →Dispute Automation Blueprint
A build-vs-buy design for dispute case management: data model, state machine, SLAs and interfaces.
You get
A unified data model and case state machine; interface plan and phased roadmap; PRD, epics and acceptance criteria
Discuss a blueprint scope →How we work
A small, explicit process designed for speed and clean judgment - no vague transformation project.
Start with an Expert Review →-
Fit call
15 minutes to confirm the question, the scope and the right service.
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Sanitized context
You share exports, flows or policies. No uploads, no production access.
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Analysis
Metrics computed by code, findings with evidence, assumptions stated.
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Deliverable
A written, prioritized memo or blueprint you can execute. No result promises.
Who this is for
A good fit
- Cross-border merchants and subscription businesses
- E-commerce and digital product teams
- Small PSP, gateway and payment startup teams
- Teams with overlap, deadline or automation questions
Not a fit
- Requests to bypass card network rules
- Demands for promised recoveries
- Handling of cardholder data
- Low-price manual case filing
- Use of employer confidential materials
We never
Touch production We work only from what you explicitly share.
Ask for card data No full card numbers, CVV, passwords or API keys.
Take uploads There is no file upload on this site.
Promise results No recoveries, win rates or savings guarantees.
Fudge the numbers Metrics come from deterministic code, not an LLM.
Common questions
What do I need to provide?
A short brief and the specific question. Audits need ~90 days of sanitized exports plus your SOP. Never send PAN, CVV or customer identity data.
Do you need production access?
No. Claima is scoped around sanitized context, approved exports and the process facts you choose to share.
Do you guarantee recoveries?
No. The output is an expert review and a practical action path, not a win-rate or savings promise.
Review or Audit - what is the difference?
A Review starts with one question or file. An Audit looks across a sanitized dataset and produces KPI baselines and leakage findings.
How is my data handled?
The MVP is designed around synthetic examples and explicitly approved, sanitized inputs only.
How do I book?
Request an Expert Review and we will confirm fit, scope and the human approval boundary before work starts.
Start with one fixed-scope question.
Bring one dispute file, workflow question, or sanitized dataset. Leave with a clearer next move.