Automate end-to-end authenticity checks from intake to immutable proof publication.
The AI agent ingests documents via webhook, analyzes content with Claude to detect authenticity signals and assign scores, and surfaces anomalies. Verified documents trigger an immutable blockchain record and publish cryptographic proofs to carriers and regulators. It maintains detailed audit trails and sends notifications to the compliance team when checks fail or thresholds are exceeded.
A concise end-to-end workflow for verifying documents and recording proofs.
Submit documents via webhook
Analyze content with Claude to detect authenticity signals
Score authenticity and flag anomalies
Create immutable blockchain records for verified documents
Publish cryptographic proofs to regulators and carriers via HTTP APIs
Log audit trails and notify compliance teams
Before: manual verification is slow, inconsistent, and hard to audit. After: Claude-powered analysis standardizes checks, blockchain-backed records ensure immutability, and proofs are easily shared with stakeholders.
A simple 3-step flow from intake to immutable proof publication.
Document is received through a webhook endpoint and stored securely for processing.
Claude analyzes the document for authenticity signals and returns a structured score with any anomalies.
If passing thresholds, create a blockchain record and publish cryptographic proofs to regulators and carriers, while logging an audit trail and sending notifications.
A realistic scenario showing task, time, and outcome.
A supplier submits a PDF invoice via the webhook at 09:15. Claude analyzes the document and returns a high authenticity score with no anomalies. A blockchain record is created, and cryptographic proofs are automatically sent to the regulator and carrier, with a compliance-team notification logged for review.
Who gains practical value from this AI agent.
Requires auditable, tamper-proof proofs for each verified document.
Needs verifiable evidence of document authenticity for regulatory matters.
Must demonstrate provenance and integrity of documents in cross-border processes.
Requires accessible proofs and immutable records for audits.
Needs verifiable proofs to accept and move shipments with confidence.
Values a secure, auditable workflow with centralized controls.
Tools integrated into the AI agent workflow and what they do inside it.
Analyzes document content for authenticity signals and returns structured scores.
Ingests documents and triggers the AI agent workflow.
Stores immutable records and encodes proofs for verified documents.
Distributes cryptographic proofs to regulators and carriers.
Notifies compliance teams about outcomes and audits.
Practical scenarios where the AI agent adds concrete value.
Common questions about usage, data handling, and outcomes.
The AI agent supports PDFs and text-based documents. Scanned PDFs can be processed after OCR. Additional formats can be added via configuration. Processing rules ensure consistent authenticity checks across document types.
When a document passes the authenticity test, a blockchain record is created containing a hash of the document and the authenticity score. The record is immutable and distributed across the network to prevent tampering. Access to proofs is controlled via secure APIs and authentication. Retrospective verifications remain auditable but immutable.
Documents are handled under strict access controls with encrypted transmission. Only metadata and proofs (not full documents) are exposed to external systems unless explicitly permitted. Audit logs capture all processing steps for compliance reviews. You can configure data retention and regional processing rules to align with policies.
Yes. Prompts can be tailored to reflect industry-specific authenticity criteria and regulatory norms. You can adjust thresholds and scoring parameters to fit your risk tolerance. Changes propagate through the workflow without code changes. The prompts are versioned to support audits and rollback if needed.
If a document fails, the AI agent records the failure along with the relevant signals and audit trails. It can trigger automatic notifications to the compliance team and stakeholders. The document may be sent for manual review or queued for reprocessing after adjustments. All failed cases are stored for future trend analysis and policy improvement.
Proofs are distributed via secure HTTP APIs to authorized regulator endpoints. Access is controlled by API keys and role-based permissions. Proofs are cryptographically signed and time-stamped to ensure non-repudiation. Audit logs capture who accessed proofs and when, supporting regulatory inquiries.
Yes. Thresholds are configurable per document type and risk profile. You can tune them to balance false positives and false negatives. Changes are versioned and tested in a sandbox before production rollout. Threshold adjustments automatically affect subsequent processing without downtime.
Automate end-to-end authenticity checks from intake to immutable proof publication.
