Email to JSON Checklist for Financial Services

Define which inbound addresses and message types fall under specific regulations, then set Email to JSON data minimization and storage rules accordingly.

Record opt-in or contractual necessity for each sender and workflow, and store consent references alongside the JSON to satisfy audits and privacy requests.

Define retention by document type and regulation, use WORM storage for audit-critical messages, and automate deletion for non-essential PII in downstream systems.

Identify account numbers, IBANs, SSNs, and card PANs, then enforce masked output (e.g., last4) or tokenization while preserving routing data needed for reconciliation.

Auto-quarantine unexpected senders or high-risk content, notify compliance, and restrict JSON creation until manual triage is complete.

Store Message-ID, Received headers, attachment hashes, and parsing version in each JSON record to support end-to-end traceability and audits.

Use plus-addressing or dedicated subdomains to segment invoice intake, card statements, and payment notices, then route by tag to the correct parsing pipeline.

Reject or quarantine failing messages, record authentication results in the JSON, and flag any forwarders or mailing lists that break alignment for review.

Limit parsing to verified banks, processors, and vendors, and use reputation or certificate pinning for high-value streams to reduce spoofing risk.

Sign payloads, verify on receipt, and include a stable idempotency key derived from Message-ID and content hash to avoid duplicate downstream records.

Expose paginated endpoints keyed by receipt time or status to let accounting systems re-fetch failed or quarantined messages deterministically.

Compute SHA-256 of canonicalized body and attachments, and suppress duplicates where Message-ID or digests match prior ingestions.

Support base64 and quoted-printable, handle ISO-8859-1 and Windows-1252 common in legacy bank systems, and store the original charset in metadata.

Detect content types reliably, parse statements and remittance advice into structured JSON fields, and preserve attachment hashes for audit.

Prefer text or HTML parts with the highest fidelity, ignore tracking pixels, and avoid corrupting layout-dependent invoice extraction with inline CID references.

Parse localized formats, thousand separators, and decimal symbols, then emit decimal amounts and a canonical currency field for downstream ledgers.

Convert header and document timestamps to UTC with original offsets preserved, and include the raw textual date to aid manual dispute resolution.

Store essential headers like From, To, Subject, Received, and Authentication-Results, compute a canonical header string and content hash for audits and dispute handling.

Use KMS-managed keys and require modern ciphers for webhook and API transport; log cipher suites to confirm compliance.

Restrict visibility of sensitive fields to least-privilege roles and output masked account numbers (e.g., ****-****-****-1234) in the JSON.

Manage HMAC keys and API tokens via KMS or HSM, rotate on a defined schedule, and reject any delivery where signature verification fails.

Run AV and AML checks, disable macros, and strip active content or risky embedded scripts before parsing to protect downstream systems.

Record who viewed PII, which parser version ran, and all webhook deliveries, then anchor logs with SHA-256 hashes to detect alterations.

Restrict webhook endpoints to known corporate IPs and separate test, staging, and production to prevent cross-environment data leakage.

Reject or flag records that fail validation and preserve the raw email for triage so accounting systems never ingest malformed data.

Maintain a fixture library covering statements, chargebacks, remittance notices, and invoices, with golden snapshots for parser regressions.

Cross-check invoice totals, line items, and tax amounts to PDF or CSV attachments; raise alerts on tolerance breaches to prevent GL drift.

Track latency from receipt to webhook delivery, parse success rate, dedup rate, and message size distribution, and visualize in dashboards with SLAs.

Apply exponential backoff for transient failures, move permanently failing messages to DLQ with reason codes, and support controlled reprocessing.

Attach correlation IDs to JSON, delivery logs, and access events so investigations and regulatory audits can reconstruct the full chain of custody.