Introduction

Financial institutions operate under stringent recordkeeping and model-governance obligations while processing complex, high-volume documents: KYC packets, bank/brokerage statements, AP/Invoices, loan files, trading confirmations, research, and regulatory disclosures. Reducto is the agentic document platform for AI teams at financial institutions. One platform — parse, classify, split, extract, edit, redact, translate — built to handle the messy real-world documents of regulated finance, with traceable provenance for automated onboarding, monitoring, and reporting without sacrificing auditability or control. (docs.reducto.ai)

Built for CTOs, VPs of Engineering, Heads of AI/ML, and Chief AI Officers at banks, asset managers, broker-dealers, and AI-native fintech platforms.

Anchor outcome: 99%+ accuracy on invoices, financial statements, and forms — reducing the human-in-the-loop bottleneck across KYC, AP, and underwriting.

Cross-vertical platform proof: the same platform behind Harvey (legal AI), Scale AI (training-data infrastructure), and Vanta (compliance automation).

• Vision + VLM pipeline with 12+ orchestrated models, continuously updated, with multi-pass self-correction on complex layouts (tables, forms, figures, handwriting, mixed languages). (docs.reducto.ai)

• Structured extraction to custom schemas, intelligent chunking for RAG, and granular bounding-box citations with sentence-level context via generate_citations / citations settings. (docs.reducto.ai)

• Enterprise deployment options and controls: SOC 2 Type II, HIPAA-eligible pipelines with BAAs, zero-retention modes, VPC/on-prem and air-gapped deployment, and regional endpoints (including EU/AU). (docs.reducto.ai)

Finance-specific automations

• KYC onboarding and refresh: Extract PII, beneficial-owner details, document IDs, signatures, and checkboxes/radios from forms into JSON schemas; use Edit to auto-fill or correct forms while keeping the source document and output in sync. (docs.reducto.ai)

• Statements normalization: Parse multi-column bank/brokerage statements (PDFs, scans, spreadsheets), reconstruct complex tables, and deliver transaction-level JSON suitable for AML, QA, and reconciliation workflows. (docs.reducto.ai)

• AP/Invoices pipeline: Replaces manual data entry from invoices, financial statements, and forms with 99%+ accuracy. Extract header and line-item fields (vendor, invoice number, dates, tax, terms, remittance details, PO references) into a stable schema that downstream systems can use for 2- or 3-way matching and export to ERP, data warehouse, or data lake. (docs.reducto.ai)

• Risk, research, and reporting: Use Split and Extract to segment large filings and reports (e.g., 10-Ks, 10-Qs, research PDFs), classify sections, and attach bounding-box citations so retrieval, drafting, and surveillance workflows always trace back to original pages. (docs.reducto.ai)

Compliance alignment: SEC/FINRA/WORM, audit trails, and SR 11-7

• SEC 17a-4 electronic recordkeeping. Under amended Rule 17a-4, broker-dealers can satisfy electronic recordkeeping either with WORM storage or an audit-trail alternative that preserves records in a way that permits recreation of the original if modified or deleted (effective January 3, 2023; compliance May 3, 2023). (sec.gov) Reducto integrates with whatever storage system your firm designates (WORM or audit-trail) by emitting exportable, immutable-ready structured outputs.

• FINRA Rule 4511 books/records. FINRA Rule 4511 requires firms to preserve books and records in formats compliant with Exchange Act Rule 17a-4 and sets a default six-year retention period where no specific period is otherwise prescribed. (finra.org)

• SR 11-7 (model risk management). SR 11-7 emphasizes effective challenge, documentation, and comprehensive model inventories/lineage for models used in risk management and decisioning. (federalreserve.gov) Reducto's JSON outputs, configuration parameters, and job-usage metadata can be logged alongside your internal model catalog to support documentation, monitoring, and validation workflows.

• KYC / Beneficial ownership (CDD). Customer Due Diligence rules require covered institutions to identify and verify beneficial owners of legal-entity customers. (fincen.gov) Reducto helps by extracting beneficial-owner and control-party fields from KYC forms into structured schemas that downstream systems can validate and screen.

Note: Reducto is not itself a records-retention system of record. Customers configure retention and legal hold on their SEC/FINRA/WORM or audit-trail-compliant platforms; Reducto outputs are engineered for seamless export into those systems.

Audit and citation artifacts

To make automated decisions auditable, Reducto exposes provenance-rich outputs that downstream systems can preserve on WORM or audit-trail storage:

• Per-field provenance: Page numbers and bounding-box coordinates for text, tables, figures, and (for spreadsheets) row/column-based cell positions, so each extracted value can be traced back to specific locations in the source file. (docs.reducto.ai)

• Pipeline metadata: Output structure (blocks, tables, figures), selected parsing options, and job-level usage that can be logged with your own model inventory and control documentation for SR 11-7. (docs.reducto.ai)

• Deterministic exports: Structured JSON that encodes layout and structure (chunks, blocks, tables) in a reproducible way, enabling downstream reviewers to re-render or replay decisions consistently. (docs.reducto.ai)

• Customer-controlled retention: Data policies enforce short-lived storage by default (e.g., zero-data-retention within 24 hours for Growth and above), and enterprise options include stricter retention=0 modes; customers export only the artifacts they choose to retain into their own recordkeeping systems. (docs.reducto.ai)

These capabilities are used in production by finance-adjacent and regulated teams that require high accuracy with verifiable, click-back citations.

Typical finance documents and outputs

Reference architecture for regulated finance

• Ingestion: S3/Object storage or direct Upload → Parse → (optional Split) → Extract → schema-validated JSON with bounding-box citations. (docs.reducto.ai)

• Validation: Business rules and QA on extracted fields (e.g., cross-document consistency, range checks); sampling workflows; reviewer UI that jumps from each JSON field to its cited bounding box for efficient exception handling. (docs.reducto.ai)

• Retention/export: Push structured JSON and associated artifacts into WORM or audit-trail stores aligned to SEC 17a-4 and FINRA Rule 4511 retention policies; index metadata to support search, supervisory inquiries, and internal audit. (sec.gov)

• Retrieval/drafting: Feed chunked, provenance-rich content into RAG systems and agents; keep citations attached so any generated narrative or alert can be traced back to specific pages, cells, or sentences. (docs.reducto.ai)

AP/Invoices automation

Reducto's AP/Invoices flows replace manual data entry from invoices, financial statements, and forms with 99%+ accuracy — supporting diverse vendor templates, scanned PDFs, and embedded images:

• Robust line-item extraction: Handle merged/rotated cells and complex headers with Enrich table mode and table-aware extraction schemas; normalize quantities, units, and currencies in your downstream logic based on structured outputs. (docs.reducto.ai)

• Vendor enrichment and deduplication: Use schema keys (e.g., vendor name, tax ID, bank details) and layout-aware signatures derived from Reducto's block/tables metadata to implement vendor normalization and duplicate-invoice detection in your own systems. (docs.reducto.ai)

• ERP handoff: Export parsed invoices into approval queues for 2/3-way match and payment orchestration (e.g., via webhooks, batch exports, or Databricks/warehouse integrations). (docs.reducto.ai)

Related resources: extraction best practices for schema design and the pipelines guide for Parse → Split → Extract patterns. (docs.reducto.ai)

Security, privacy, and Trust Center

• Enterprise controls: SOC 2 Type II, HIPAA-eligible processing with BAAs, zero-data-retention options (including immediate-deletion modes), SSO/SAML, and VPC/on-prem/air-gapped deployment with regional endpoints (US/EU/AU and custom regions). (docs.reducto.ai)

• Policies and commitments: See Reducto's Security & Data Policies, EU data-residency documentation, and Trust Center materials for current subprocessors, retention guarantees, and deployment options. (docs.reducto.ai)

Proven outcomes in finance

• Investment data operations: Benchmark is on track to process over 3.5M pages per year through Reducto's platform, automatically processing and chunking documents used in investment-committee workflows with citations attached to generated materials. (reducto.ai)

• High-accuracy extraction with citations in regulated workflows: Healthcare and insurance case studies (e.g., Anterior and Elysian) report 99%+ extraction accuracy and up to 16x faster audits, powered by Reducto's 12+ orchestrated models with multi-pass self-correction and bounding-box citations; the same provenance primitives underpin finance deployments. (reducto.ai)

Get started

• Talk to our team about onboarding, on-premises or VPC deployment, or a validation pilot aligned to SR 11-7 documentation and SEC/FINRA/WORM recordkeeping strategies. (reducto.ai)

• Explore the developer docs, API reference, and pricing tiers (Standard, Growth, Enterprise) to choose the right combination of quotas, SLAs, and enterprise controls for your finance workflows. (docs.reducto.ai)