Appeal Architect uses deterministic classification engines, evidence validation gates, and safety guardrails to guide your appeal through the safest possible sequence. The system decides the classification. AI only writes the communication.
Appeal Architect is a suspension compliance platform that helps businesses diagnose account suspensions on Stripe, Amazon, PayPal, Google Business Profile, and Meta Ads. It uses deterministic classification engines β not AI opinions β to identify the exact failure type, then generates compliance-safe appeal drafts with built-in safety guardrails.
Users paste their suspension notification message into the free scanner. The classification engine analyzes it against 28+ platform-specific rulesets to identify the failure type, confidence level, and risk score. This diagnosis is deterministic β the same input always produces the same classification.
Every suspension response follows the same structured sequence. Each step has built-in safety checks that prevent you from moving forward until it is safe to do so.
Copy the suspension notification you received from the platform and paste it into the free suspension scanner.
The classification engine analyzes your message against 28+ platform-specific rulesets to identify the exact failure type, risk level, and confidence score.
Based on your specific suspension type, the system generates a tailored evidence checklist with document format requirements and compliance notes.
Select a plan to receive a structured appeal draft written within platform-approved guardrails, with tone analysis and safety checks applied.
Follow the step-by-step protocol with built-in cooldown timers, confirmation gates, and safety locks that prevent common mistakes.
The system is built around three deterministic phases. Classification is rule-based, not probabilistic. Evidence gates are hard requirements, not suggestions. Safety locks are enforced, not optional.
The engine analyzes your suspension message using 20+ platform-specific classifiers. It identifies the exact failure type, confidence level, and risk score β no guessing, no AI hallucination.
Before you pay or submit anything, your evidence passes through a 5-layer validation gate. Documents are checked for type, format, expiration, relevance, and compliance alignment.
Follow a structured protocol with safety locks. Wait timers prevent panic retries, confirmation gates block irreversible actions, and AI writes only within approved guardrails.
When you paste a suspension notification into the scanner, the diagnosis engine performs a multi-stage analysis. First, it identifies the source platform based on language patterns, formatting, and sender indicators. Then it maps the message content against the platform's known failure taxonomy.
For example, a Stripe suspension message mentioning "identity verification" is mapped against 4 sub-types: name mismatch, expired documents, poor document quality, and wrong document type. Each sub-type has different evidence requirements and different resolution timelines.
The engine produces a structured output: the failure type, a confidence score, a risk assessment, and a recommended action path. This output drives every subsequent step in the compliance process.
Each platform has specific compliance expectations. Amazon expects Plans of Action in a root-cause / corrective-action / preventive-measures format. Stripe expects factual documentation without emotional language. PayPal expects specific documents uploaded through their Resolution Center.
Appeal drafts are generated by AI, but within strict guardrails. The system constrains the AI to use only factual statements, avoid emotional language, reference specific evidence, and follow the platform's expected format.
Multiple safety layers work together. Evidence validation gates prevent payment until documents meet requirements. Cooldown timers prevent panic re-submissions. Pre-submit scanners flag risky language or missing information.
A Stripe suspension for identity verification failure is classified with high confidence. The system generates an evidence checklist requiring a current government-issued photo ID, proof of address, and account information verification.
An Amazon inauthentic item complaint is mapped to one of 4 sub-types. The system identifies whether it's a customer report, brand owner complaint, or Amazon test purchase.
A PayPal account limitation for unusual activity is classified based on the specific trigger β volume spike, geographic anomaly, or new recipient patterns.
A Google Business Profile suspension is classified as either soft (listing hidden) or hard (access revoked). The system determines the most likely cause.
A Meta Ads account disablement is mapped to the specific policy violation: misleading claims, landing page issues, circumventing systems, or prohibited content.
This isn't a chatbot with a template. It's a multi-engine compliance system that classifies, validates, and safeguards every step of your appeal.
Platform-specific AI classifiers that identify your exact suspension type with confidence scoring.
Hard-gated verification system ensures your documents are valid before you pay a cent.
Catches risky appeals before submission. Blocks harmful language, weak arguments, and compliance gaps.
Platform-specific rulesets built from real suspension patterns, not generic templates.
Orchestrates 20 engines across 15 event types to ensure every step follows the safest sequence.
Scores your appeal across compliance, evidence quality, tone, and platform-specific criteria.
Every classification, plan assembly, safety check, evidence validation, and user action is logged with timestamps. Complete traceability from intake to resolution.
Every case passes through automated guardrails designed to prevent premature action, weak submissions, and unnecessary spending.
Our hard-gate system verifies your documents are genuine, unexpired, and relevant before you proceed to checkout.
Cases with insufficient evidence or low classification confidence are flagged and held β you won't pay for something that isn't ready.
Before you send anything to a platform, our safety scanner checks for compliance gaps, harmful language, and missing documentation.
Every classification shows a confidence band (high/medium/low) so you know exactly how certain the system is about your case type.
The system blocks harmful retries. Cooldown timers are enforced server-side so you don't accidentally reset review queues.
You must review and explicitly confirm the classification summary before proceeding. No auto-advancing past critical decisions.
You stay in control. We stay between you and irreversible mistakes.
No credentials collected. No submissions on your behalf. Every action requires your explicit confirmation.
Most services give you advice. We give you a compliance protocol with built-in guardrails.
Paste your suspension email into the Free Suspension Scanner and our system will identify the exact issue type, risk level, and generate a compliance-safe action path.
Diagnose SuspensionFree to use. No account required. No credentials collected.
We provide structured guidance and documentation tools to help users prepare compliance responses. We do not guarantee account reinstatement and we do not contact platforms on behalf of users.