Difficult source files
Image-only and blurry documents defeat ordinary text extraction — and bilingual documents defeat single-language pipelines.
01 — The evidence chain
One document, gaining evidence — not a magic answer.
Watch what actually happens to a scan: it is preserved, read with confidence stated, connected to related records, corrected by a named person, and closed with a proof package.SOURCE · INVOICE 5103606562497
01 · PRESERVED
sha256 · 9f2c…a417
Original never rewritten · upload user and timestamp recorded
02 · EXTRACTED, WITH CONFIDENCE
Vendor98%
Invoice total97%
Purchase order95%
Line 4 · unit price61% LOW
03 · RELATED RECORDS
Matches PO-88431 · totals agree, one line-item variance
DUPLICATE VS. REUSE
A duplicate invoice is a warning. A reused PO may be legitimate. Cypher states which one this is, and why.
04 · HUMAN DECISION
REVIEWER · A. RIVERA
1 FIELD FLAGGED
Line 4 · unit price
14.20 → 14.02 corrected
VALIDATED BY PERSON · 14:08 AST
05 · PROOF PACKAGE
Validation PDF
Evidence manifest
Audit event
Excel register row
Traceable from the original file hash to the named human disposition.
Uncertainty stays visible until a person resolves it
02 — The operational problem
Documents arrive everywhere. Accountability stays with one organization.
Blurry scans, copied PDFs, inconsistent identifiers, repeated POs, and disconnected spreadsheets turn document control into manual reconstruction.Missing relationships
A duplicate invoice is a warning. A reused PO may be legitimate. The difference has to be explained, not guessed.
Uncontrolled exceptions
Unmatched documents and confirmed exposure need separate classifications, aging, and an accountable owner.
One defensible record
Source, extraction, matching, validation, evidence, and reporting stay connected — and reproducible later.
03 — How Cypher works
Eight controlled steps.
AI proposes. Deterministic rules compare. Authorized people approve.Secure intake
An authorized user submits a document into the customer's private workspace.
Untouched original
Cypher stores the source privately, hashes it, and opens the audit record.
Layered extraction
Uncertain or incomplete results escalate through additional readers rather than being accepted.
Operational context
Store, vendor, document numbers, dates, totals, line items, and configured custom fields become structured data.
Rules and relationships
Totals and line items are compared, exact duplicates blocked, and reused POs explained.
The human decision
Original and extracted values appear side by side so the reviewer can confirm, correct, reject, or escalate.
Evidence generation
The decision produces a validation PDF, manifest, attribution, timestamp, and immutable audit event.
Operational visibility
Unresolved records, exceptions, aging, stores, and vendors stay visible until someone closes them.
04 — One control center
See the document and the operation behind it.
Uncertain documents and confirmed exposure are kept apart — and both stay visible until resolved.Side-by-side validation
Review the original beside every extracted and custom field.
Store and vendor view
Compare volume, exceptions, and confirmed exposure across locations.
Custom fields
Tell Cypher which organization-specific evidence matters on future scans.
Approved exports
Excel-compatible registers and per-document evidence artifacts, released by a person.
06 — Controlled adoption
Start with real documents. Expand from measured evidence.
Every pilot fixes a document baseline, an exception workflow, a security boundary, and acceptance criteria before anything expands.01One organization and one defined document workflow
02Agreed source material and data-sensitivity boundaries
03Named reviewers and approval points
04Measurable acceptance criteria, including extraction accuracy
05A limited implementation and review period
06Expansion only after evidence and explicit approval
Retail networks
Government agencies
Construction & procurement
Logistics
Multi-location services
Cypher