Ingestion and classification
Packets split, typed, and routed, contracts, invoices, clinical notes, claims, KYC, before any extraction model runs.
Document AI
Intelligent document processing inside your security boundary.
Ingestion, classification, extraction, and reconciliation for contracts, claims, clinical packets, and back-office files, with human review on low confidence and IP you own.
IDP
Classify, extract, reconcile
HITL
Review queues on low confidence
Lineage
Every field tied to a source span
Owned
Pipelines and models in your VPC
Perspective
Documents are a platform problem, not a one-off OCR job
Buyers search “Document AI” and “IDP” when packet volume, exception rates, or audit requirements have outgrown shared inboxes and generic OCR. The failure mode is a point tool that cannot join your retrieval fabric, identity, or case systems.
InheritX delivers document intelligence as a service of the enterprise AI platform: ingestion that respects document lifecycle, extraction with citation to page and span, and routing into ERP, CRM, EHR, or claims systems you already run.
Human review stays on the path where confidence is low or the field class is irreversible, so straight-through processing is earned, not assumed.
Capabilities
IDP capabilities we industrialize
Extraction with evidence
Structured fields with source highlights so operators and auditors can see why a value was proposed.
Reconciliation and exceptions
Cross-check against master data and prior cases; exceptions land in a queue with the original packet attached.
Handoff into systems of record
Write-back through approved APIs, not a parallel document silo your teams must re-key.
How we engage
Document AI delivery sequence
01
Corpus and field inventory
Sample real packets, define the field catalog, and mark which values may never auto-commit.
02
Pipeline in your boundary
Ingest, redaction, and model endpoints in the VPC or private estate your CISO already approved.
03
Pilot on one packet type
Measure extraction quality, exception rate, and handle time against a golden set from production.
04
Straight-through where earned
Raise auto-path only after eval gates hold; expand packet types on the same platform services.
Fit
When Document AI is the right named lane
Back-office packets with a stable field catalog
IDP pipeline + HITL on low confidence + system write-back
Employees asking questions over the same corpus
Pair with AI Search / RAG on the enterprise platform, not a second index
Plant labels, waybills, or high-speed capture
Vision capture feeding the same IDP contract; see Computer Vision for line-side optics
Regulated retention and legal hold
Classification-aware storage, immutable extraction logs, and DLP on egress
FAQ
Document AI FAQ
No. Document AI is a child lane of the enterprise platform. RAG answers questions; IDP turns packets into structured cases. They share identity, policy, and often the same corpus services.
We keep capture engines that already work and replace the fragile last mile, classification, extraction contracts, review, and write-back.
Yes, when generic extraction plateaus, with data governance, eval gates, and rollback. Fine-tunes trained for you transfer with the rest of the IP.
Continue
Parent and adjacent
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.