1) Trigger routing
Start from the live event: chargeback, non-delivery claim, SNAD, invoice rejection, return dispute, or handover objection. Route the case before the team wastes time on the wrong reply path.
Readiness checkFault-driven dispute automation
Not “AI magic recovery”.
A diagnostic-first dispute operations spine.
The stronger market position is not generic automation. It is automation that starts from diagnosis: fault detection, location, repair routing, missing-evidence ranking, bundle generation, response drafting, receiver packaging, and deadline-safe clarification loops. What remains human is judgment, evidence existence, and final submission where no API exists.
Trigger → score → package → reply → reviewOperator-guidedNo fake win-rate claimsWorks today
The automation spine
Seven automation jobs once the fault is known.
2) Diagnostic scoring
Reason-specific detectors and deterministic scoring show what is broken before the team sends anything weak.
Pack automation3) Missing-evidence ranking
The next piece of evidence is prioritized so the operator does not ask for ten things at once.
Missing evidence4) Bundle generation
Generate the public-safe bundle in PDF, PNG, and JSON instead of sending attachment piles and “please see attached”.
Sample pack5) Reply drafting
Copy the reason-specific response text and attach list instead of rewriting the same chargeback response every week.
Reply layer6) Receiver view
Give the other side one clean review object with status, ask, and evidence weight instead of an email chain.
Receiver view7) Clarification loop control
Use delta response, deadline posture, and privacy split when the reviewer asks for one more thing.
Fault-driven automation layer
Diagnosis should come before automation.
Detect
Move from generic readiness to explicit fault patterns like Evidence Scatter or Policy Mismatch.
Locate
Know which module is failing: identity, timeline, delivery, evidence, policy, decision, contradiction, or deadline.
Repair
Only then automate evidence requests, pack assembly, and response drafting.
What is automated today
The repetitive work already has a machine path.
Checklisting, score calculation, gap ranking, bundle export, response drafting, return-intake hashing, receiver-mode packaging, and review-loop support.
Evidence creation, legal strategy, credibility judgment, negotiation, and final platform submission where no API exists.
Attachment piles, reactive follow-ups, team inconsistency, and the hidden time cost of rebuilding the same dispute from zero.
Reality boundary: Vraimony does not claim fully automatic dispute wins or guaranteed recovery. The current product is strongest as operator-guided comprehensive dispute automation.
Best repeated pains first, platform later
Where this is strongest right now.
Commerce disputes
Chargebacks, delivery disputes, return fraud, missing proof, and repeat-response workload.
Agencies and service businesses
Invoice disputes, scope disagreements, acceptance confusion, and evidence reuse across client reviews.
Multi-operator teams
Support, operations, and finance teams that need one operating layer instead of personal inbox logic.
Diagnostic integration
Automation now starts from fault detection, not only workflow routing.
Scan first
Run the deterministic scan to identify the dominant fault before drafting replies.
Repair routing
Route the case to the correct repair protocol instead of treating every dispute the same.
Reviewer simulation
Check whether the bundle is likely to survive outside review before sealing or exporting it.
Automation applies beyond disputes
Creator handoff
Detect missing acceptance trails, weak asks, and fragmented delivery proof before client review.
Supply chain
Detect broken handoff chains, missing shipment anchors, and reviewer overload inside broker or logistics workflows.
Claims / education / review
Run the same scan and repair logic in claims, institutional submissions, and vendor review packs.