Prefiler independently reconciles ledger data, bank evidence, and jurisdiction-specific tax records before professional review or filing—without replacing the host platform’s general ledger.
Prefiler operates as a read-oriented verification and intelligence layer. The host platform remains the system of record.
Platform Guideline: The host platform remains the system of record. Prefiler operates as a read-oriented verification and intelligence layer.
“Prefiler verifies financial positions; it does not silently alter the books or replace professional judgment.”
Failsafe Constraint: AI-generated content cannot overwrite source records, modify deterministic calculations, or independently determine a final filing position.
Ingest ledger exports, journal postings, and transaction records directly from native host system endpoints or structured file formats.
Parse and extract bank statement files, invoice scans, and VAT records with deep OCR and coordinate-level metadata mapping.
Perform exact, multi-directional arithmetic matching between bank statement line items and general ledger journal postings.
Identify logical, temporal, or arithmetic anomalies between self-reported ledger records and independent source document evidence.
Trigger period-specific statutory rulesets and filing controls based on the selected tax jurisdiction and filing period.
Link every generated risk flag, matching transaction, or calculated amount directly back to coordinate coordinates on source documents.
Pin rules and evaluation logic to exact statutory years, preventing code upgrades from altering historical compliance positions.
Stateless execution ensures the exact same input data consistently produces identical, auditable compliance JSON reports.
Expose missing-evidence responses and structured error behaviors when required supporting files are absent or unreadable.
Embed Prefiler completely behind your platform's native brand, UI, and business logic using stateless JSON microservice endpoints.
Deploy Prefiler within isolated dedicated tenant nodes, private VPC environments, or secure local servers for high compliance.
Security and deployment requirements are scoped during enterprise evaluation.
Our core scoring engine operates independently of AI layers, guaranteeing repeatable arithmetic outputs.
All findings are built as indicative decision-support metrics, requiring qualified professional sign-off.
All data payload fields are encrypted in transit using TLS 1.3 and at rest with AES-256 ciphers.
Process inputs with zero persistent storage; files are held strictly in volatile RAM and immediately flushed.
Track REST access patterns, pipeline errors, and rule evaluation logs for strict enterprise traceability.
No ingested financial records are transmitted or used to train public generative models.
Contact our technical team to schedule a walkthrough, request API schema specifications, or review private dedicated deployment options.