What is Cross‑Check AI?
Cross-Check AI is an advanced artificial intelligence and machine learning tool that can validate, cross-check, identify and resolve data discrepancies, inconsistencies, and errors within multiple datasets such as documents, databases, and audio files. It uses rule-based logic, configurable checklists, and machine learning to ensure document sets are consistent, complete, and compliant. Whether you are validating identity across KYC files, reconciling bank statements with loan forms, or verifying asset values, Cross‑Check AI offers precise, scalable automated cross-checking at speed.
How does Cross‑Check AI work?
Cross‑Check AI uses a custom checklist template for each workflow. These checklists define the expected relationships between data points such as matching a name, comparing numeric totals, or checking if an ABN exists. The AI then performs real-time content mapping, applies validation rules, and flags any discrepancies. This allows teams to act on failed rules via a structured exception handling system, improving accuracy while reducing turnaround time.
What types of rules can be configured in Cross‑Check AI?
You can apply a range of business logic validation rules, including:
- Must match
- Must not match
- Must not be empty
- Must contain pattern (regex)
- Must contain numeric value greater than / less than / equal to
- Match exact text (case sensitive or insensitive)
- Custom entity linking across documents (e.g. match same person or company name)
- And more
How does Cross‑Check AI handle cross-document validation?
The platform enables multi-document comparison and cross-document verification by linking related fields across files such as a name on a payslip vs a loan application, or a property value in a bank statement vs a title deed. It flags any mismatches and allows human reviewers to investigate exceptions. This is especially useful in compliance automation for regulated sectors.
Can Cross‑Check AI be used as a document reconciler?
Yes. Cross‑Check AI functions as an AI document reconciler, capable of comparing numeric, text, or date fields across multiple formats (e.g. PDFs, Word, scanned images). It is designed to support data consistency and accuracy, particularly for use cases like financial reconciliation, contract validation, and KYC audits
Does Cross‑Check AI support numeric validations and audit trails?
Yes. The tool supports full numeric validation logic, including line-item totals, conditional maths, and threshold ranges. All outcomes are logged and time-stamped in an audit trail, with a downloadable record of all rules applied, exceptions flagged, and actions taken. This ensures complete transparency for auditors and regulators.
Can Cross‑Check AI detect tampered or inconsistent documents?
Yes. Through AI-powered content comparison, it can detect inconsistencies that indicate fraud, human error, or incomplete documentation. Whether it’s mismatched identity numbers, incorrect totals, or duplicate documents, Cross‑Check AI operates like an intelligent data inconsistency detection tool.
What industries benefit the most from Cross‑Check AI?
Cross‑Check AI is designed for any industry that relies on the integrity of multiple document types. Core verticals include:
- Banking & Lending: Cross-check loan applications, payslips, bank statements
- Legal & Professional Services: Reconcile identity documents and contracts
- Insurance: Validate claim forms and supporting evidence
- Accounting & Audit: Ensure numeric integrity across reports
- Government & Migration: Match multiple data points for multi-scheme compliance
If your organisation is looking for an AI document validation solution to streamline internal compliance or enhance trust in data-driven decisions, Cross‑Check AI offers an enterprise-grade toolset.
How does Cross‑Check AI compare to competitors?
Unlike basic document comparison tools, Cross‑Check AI provides an end-to-end validation workflow:
- Fully configurable checklists
- Rule-based AI validation
- Cross-document reconciliation
- Human-in-the-loop exception management
- Bulk upload, API, and iFrame integration
While competitors focus on field-level rules and offers visual gap analysis only, Cross‑Check AI is built to validate relationships across document sets, not just individual pages.
What file types are supported?
Cross‑Check AI accepts:
- PDF (including scanned or OCR’d)
- Word (.docx)
- Images (JPG/PNG with OCR)
- Spreadsheets (.xlsx)
- JSON-based structured and unstructured documents
Output formats include structured validation reports, exception logs, and standardised machine-readable JSON for integrations.
How does exception handling work in Cross‑Check AI?
Any failed validation triggers an exception, which is presented in a human-readable review interface. Reviewers can approve, comment, correct, or override as needed. All interactions feed into a feedback loop, allowing the AI to improve over time making it a true intelligent document validation platform.
Can Cross‑Check AI integrate with my systems?
Yes. You can embed Cross‑Check AI directly via:
– iFrame for no-code front-end
– UI and custom plug-ins or modules for case management systems, CRMs, and compliance portals
This makes it easy to integrate into existing document workflows without major development work.
Is Cross‑Check AI secure and compliant?
Yes. Cross‑Check AI is SOC 2 Type 2 certified, ensuring secure handling of sensitive documents. It supports compliance automation by maintaining full logs, version control, and rule governance for all validations. Ideal for organisations under APRA, ASIC, AUSTRAC, or GDPR regulatory frameworks.
Can Cross‑Check AI be used in straight-through processing (STP)?
Yes. Cross‑Check AI supports auto-validation and straight-through processing, particularly when paired with upstream tools like Categorise AI and Extract AI. When validations pass, documents can automatically progress through the pipeline—ideal for high-volume operations.
How fast is Cross‑Check AI in high-volume scenarios?
Cross‑Check AI is designed for enterprise-grade scalability. It supports bulk document cross-checking and high-throughput use cases like:
- Loan origination for mortgage brokers
- Contract validation in legal tech
- Claims reconciliation for insurers
- Batch KYC audits in fintech
Turnaround times can be as low as a few seconds per batch, depending on rule complexity and API load.
Can I use Cross‑Check AI to build compliance automation?
Yes. You can define mandatory document combinations, data relationships, and validation logic required for compliance—whether under banking regulations, migration schemes, or internal risk policies. It becomes your automated compliance checklist with built-in governance.
Can Cross‑Check AI detect missing documents?
Yes. Beyond checking field values, Cross‑Check AI can be configured to ensure all expected documents are present in a bundle. This is ideal for workflows like:
- Checking if all payslips for the last 3 months are provided
- Validating a complete mortgage package
- Detecting gaps in submission for audit or KYC reviews
Is training or setup required?
Cross‑Check AI is available with preconfigured templates but also supports custom onboarding. We offer white-glove onboarding, API documentation, rule configuration workshops, and support for change management teams. No AI expertise required.