Document processing software for food QA teams
AI makes document validity recommendations, humans make the final QA decision
Evidash analyzes supplier documents, proposes whether they are valid, highlights supporting evidence, and explains its reasoning in a review UI where QA teams confirm the final outcome.
Built for regulated, audit-ready operations
See it in action
AI does the reading, your QA team makes the call
Validity recommendations and highlighted evidence in a review interface built for human sign-off.
A recommendation you can actually check
Evidash proposes whether a document passes, shows its confidence, and lets reviewers approve or flag in a single click.
- AI validity recommendation with a confidence score
- Checked against the approved spec
- Approve or flag without leaving the page
Evidence highlighted on the source document
Every extracted value is shown in context on the original file, so reviewers verify in seconds instead of hunting through PDFs.
- Key fields highlighted where they appear
- Extracted values listed alongside the document
- Clear reasoning behind every conclusion
The problem
Document review is too manual today, but full automation is not the answer
Most supplier document processing still happens in inboxes, PDFs, spreadsheets, and shared drives. Teams open files one by one, hunt for key fields, compare values manually, and piece decisions together across tools.
Pure automation is risky in QA workflows. You still need people in control of final decisions, but they need better support than copy-paste and visual scanning.
Evidash gives QA teams a human-in-the-loop workflow where AI proposes validity outcomes, highlights the exact evidence, and explains why, so reviewers can decide faster with confidence.
Benefits
A better way to process supplier documents
AI validity recommendations
AI evaluates each document and proposes whether it passes requirements before the reviewer makes the final call.
Highlighting in context
Show the exact fields and sections behind each AI conclusion directly on the source document.
Human-in-the-loop review UI
Give QA teams a clear interface to review AI conclusions, accept or correct them, and approve the final decision.
Support more than COAs
Process COAs alongside specifications, certifications, questionnaires, and other supplier records.
Spec-aware verification
Compare extracted fields against approved specs and requirements to justify each recommendation.
Faster and more accurate QA
Reduce repetitive effort while helping teams make consistent decisions with confidence and auditability.
How it works
How document processing works in Evidash
Receive the document
Bring incoming supplier documents into Evidash from uploads, email, or connected workflows.
Extract and highlight key data
AI captures important fields and highlights the evidence it used on the source document.
See AI conclusions with explanations
Evidash proposes validity outcomes and explains why each document is accepted, rejected, or needs review.
QA reviews and makes the final call
Reviewers confirm or override AI recommendations in context, then finalize the decision.
Finalize with traceability
Store the document, reviewer decisions, and processing outcome with the right supplier and spec history.
Workflows
Built for real QA document workflows
Review faster with document highlighting
See extracted values in context on the source file, so QA teams can validate data quickly without jumping between disconnected tools.
Handle more than one document type
Document processing should not stop at COAs. Evidash supports a wider set of supplier records and compliance documents in the same review workflow.
Keep humans in control of final decisions
AI proposes validity outcomes and reasoning, while QA reviewers confirm what is correct before release, approval, or escalation.
Connect processing to the right supplier and spec
Each result should sit in context, not in a disconnected folder. Link documents to suppliers, contacts, and the correct version of the spec.
Keep an audit-ready trail
Document what was processed, what was matched, what was flagged, and how the final decision was made.
Outcomes
What better document processing looks like
When document processing is human-guided and AI-assisted, teams spend less time on repetitive document handling and more time on quality decisions.
Instead of choosing between fully manual work and black-box automation, Evidash helps QA teams review AI conclusions with clear evidence and keep accountability with human sign-off.
- Faster processing of incoming supplier documents
- Higher accuracy through AI + human review
- Clearer visibility with in-document highlighting
- Cleaner traceability for QA decisions
- More confidence before release, approval, or audit
Explore more
Document processing works better when it is connected to the rest of the system
Keep every document tied to the right supplier, contacts, and record history.
Match extracted values against the correct approved spec and version.
Track supporting supplier documents that need renewal or follow-up over time.
Free QA review resource
Standardize how supplier documents are reviewed
Use the supplier document review checklist to verify identity, authenticity, validity, scope, decision evidence, and follow-up across certifications, specs, insurance, and other supplier records.
Download the document review checklistFAQ
Frequently asked questions
What documents can be processed in Evidash?
Evidash is designed for COAs and a broader set of supplier documents, including records that need structured extraction, highlighting, and verification against requirements.
Is this just OCR?
No. The goal is not just to read documents. Evidash generates validity recommendations, highlights supporting evidence, explains its reasoning, and gives QA teams a review UI for final approval.
Can document processing be linked to specs?
Yes. Processing workflows can be connected to internal specs so teams can compare incoming values against the right approved standard.
Does this replace human review?
No. Evidash is built as a human-in-the-loop system. AI provides conclusions and explanations, but QA teams always have the final say on the decision.
Can document processing be linked to suppliers?
Yes. Documents, extracted data, and processing outcomes can stay connected to the relevant supplier record and supporting workflow.
Upgrade document review with AI assistance and human oversight
Evidash helps food QA teams process supplier documents with AI-generated recommendations, explainable evidence, and full human control through a modern review interface.