Intelligence That Explains Itself
TrustRelay combines machine learning with transparent decision-making. Our AI automates document validation, scores vendor risk, and accelerates reconciliation—while showing you exactly why every decision was made.
AI You Can Trust
We believe AI should make finance teams faster, not take decisions out of their hands. Every AI-assisted feature in TrustRelay is designed to be assistive, transparent, and auditable. You see exactly which factors contributed to each decision—no black boxes, no unexplained outcomes.
Intelligent Capabilities
Intelligent Document Processing
AI extracts and validates data from W-9 forms, insurance certificates, and compliance documents. Catches mismatches between extracted data and submitted fields before they become payment problems.
- OCR extraction for legal names, TINs, and policy details
- Auto-validation against submitted form fields
- Mismatch detection with clear explanations
- Confidence scores for every extraction
Smart Entity Resolution
ML-powered matching identifies duplicate vendors, alias entities, and fuzzy sanctions matches that basic string comparison misses. Prevents duplicate payments and catches compliance risks.
- Fuzzy name matching with transliteration awareness
- Duplicate vendor detection across variations
- Enhanced OFAC/sanctions screening
- Cross-customer entity resolution
Predictive Risk Scoring
Real-time risk assessment combines vendor history, bank change patterns, and network-wide signals to predict payment problems before they happen. Risk scores inform policy decisions without replacing human judgment.
- Vendor risk scores based on payment history
- Bank account change pattern analysis
- Network-wide fraud signal detection
- Risk-based exception prioritization
ML-Assisted Reconciliation
Machine learning matches bank outcomes to payout intents with confidence scoring. High-confidence matches auto-reconcile; exceptions are ranked by likelihood for faster resolution.
- Intelligent bank line to payout matching
- Confidence-weighted auto-reconciliation
- Exception ranking by match probability
- Continuous learning from resolution outcomes
Risk Graph: Network Intelligence
TrustRelay's Risk Graph learns from real payment outcomes across all customers. As more transactions flow through the platform, predictive models sharpen—and every customer benefits from collective intelligence.
Cross-Customer Learning
ML models train on anonymized payment outcomes across the TrustRelay network. Fraud patterns detected at one customer improve predictions for everyone.
Supplier Portability
Suppliers with clean payment history across multiple customers receive lower risk scores—enabling faster onboarding for trusted vendors.
Predictive Fraud Detection
Network-wide signals surface emerging fraud patterns before they affect your organization. Proactive alerts, not reactive investigations.
Privacy-First Design
Only anonymized risk signals contribute to network intelligence. No payment amounts, customer identities, or business relationships shared.
Explainable AI: Built for Auditors
Every AI-assisted decision in TrustRelay is captured in the Evidence Vault with full transparency. Auditors see exactly what the system knew and why decisions were made—no black boxes, no "trust the algorithm."
Decision Lineage
Full chain from payout intent → policy evaluation → AI risk signals → decision outcome. Trace any hold or approval back to specific factors.
Model Transparency
AI model version, feature inputs, and confidence scores captured for every AI-assisted decision. Know exactly which model made the assessment.
Human-Readable Reasons
Every hold, deny, or flag includes plain-language reasoning: "Bank account changed 3 days ago," "First payment over $50K," "Sanctions similarity 0.87."
Audit Export
Export evidence bundles with AI decision details for SOX, SOC 2, and regulatory compliance. Cryptographic proofs verify no tampering.
You're Always in Control
TrustRelay AI is designed to be assistive, not autonomous. Our philosophy:
- AI suggests, you decide. Risk scores inform policies, but humans set thresholds and approve overrides.
- Confidence-gated automation. Only high-confidence matches auto-process. Everything else surfaces for human review.
- Transparent reasoning. Every AI decision shows its work. If you disagree, you know exactly what to adjust.
- Policy-first architecture. Your rules always take precedence. AI provides signals; policies make decisions.
See Intelligent Automation in Action
Schedule a demo to see how TrustRelay AI handles document validation, risk scoring, and reconciliation—with the transparency your auditors require.
Book an AI Demo