Reconciliation · AI/ML · Zero-Touch
Zero-Touch Reconciliation with AI/ML
AI/ML-powered reconciliation engine that automatically matches transactions across all payment rails — PIX, TED, Boleto — with 99.9% accuracy and full audit trail.
Match ResultMatched
Confidence99.87%
TierExact match
Processing8ms
Algorithmml_v3
Exact
94%
High
4%
Probable
1.5%
Manual
0.5%
1.247 lançamentos conciliados
0 exceções pendentes
99.9%
Match rate
8ms
Matching latency
4
Confidence tiers
Multi-rail
PIX, TED, Boleto
Zero-touch
Automation
24/7
Processing
From entry to match, without human intervention
01
Ingestion
Entries from all rails normalized into a single format
Real-time
02
AI/ML Matching
Engine with 4 tiers: exact, high, probable and manual review
8ms
03
Validation
Cross-check with ledger, bank statement and payment rail
Automatic
04
Reconciliation
Matched entries, positions updated, audit recorded
Instant
05
Exceptions
Smart routing of unmatched with escalation rules
Configurable
Smart reconciliation, one API
Automatic matching
Submit entries and receive the match with confidence score and audit trail.
Reconcile — Request
1curl https://api.revenu.com/reconciliation/match \2-u:prod_key \3-d account_id=acc_checking_001 \4-d amount=150000 \5-d rail='pix' \6-d reference='E123456789'▌
Response — 200 OK
{
"match_id": "mtch_9k4m2p7r",
"status": "matched",
"confidence": 0.9987,
"tier": "exact",
"algorithm": "ml_v3",
"processing_ms": 8
}▌
Intelligent Reconciliation
Automated matching engine that eliminates manual reconciliation across all payment rails.
AI/ML Engine
AI/ML Matching Engine
4-tier confidence matching system (exact, high, probable, manual) powered by machine learning. Learns from historical patterns to continuously improve match rates.
4 Confidence Tiers
Exact (99%+), High (95%+), Probable (80%+) and Manual Review. Each match classified with score and evidence.
8ms Matching
Engine optimized for sub-10ms latency. Processes thousands of entries per second without batching.
Continuous Learning
ML learns from manual resolutions to continuously improve automatic match rate.
Operations
Multi-Rail Support
Unified reconciliation across PIX, TED, Boleto, and card transactions. Normalize and match entries regardless of payment rail or settlement timing.
Exception Management
Smart routing of unmatched entries with configurable escalation rules. Prioritize exceptions by amount, age, and risk score for efficient resolution.
Position Dashboard
Consolidated view of reconciliation position by account, rail and period. Drill-down to entry level.
Configurable SLA
Set resolution deadlines by priority. Automatic escalation when SLA is exceeded.
Compliance
Continuous Compliance
Real-time audit trail for every match decision. Full traceability from source entry to matched counterpart with algorithm transparency and regulatory evidence.
Regulatory Reports
Automatic generation of reconciliation reports for external audit and BACEN.
Recon Webhooks
Events for match, exception, resolution and report_ready. Integrate with your internal systems.
Configurable Retention
Reconciliation data retained per regulatory policy. Export in multiple formats.
Smart reconciliation vs. manual
Processo manual
Com Revenu
Reconciliation
Manual / spreadsheet
Automatic AI/ML 99.9%
Latency
Daily/weekly batch
8ms real-time
Multi-rail
Separate systems
PIX + TED + Boleto unified
Exceptions
E-mail / ticket
Smart routing + SLA
Audit
Manual documentation
Automatic digital trail
Confidence
Binary (yes/no)
4 tiers with ML score
Case Study
“We eliminated 3 FTEs dedicated to manual reconciliation. The AI engine reconciles 99.9% automatically — we only review high-risk exceptions.”
Controller, Banco Digital Beta
3 FTEs
Eliminated
99.9%
Automatic match
8ms
Matching latency
Test reconciliation now
Sandbox with test entries, simulated matching and position reports.
Free sandboxSimulated matchingTest reports
Sandbox
Test reconciliation
AI matching in sandbox.
Free sandbox environment · No credit card
Audit certified
BACEN
ISO 27001
PCI DSS v4.0
LGPD
MED 2.0
ISO 20022
Start building today
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