Requirements55 explicit gaps
YOUR AI SYSTEM · BUILDING CONTEXT
Internal document agent
New initiativeA planned internal agent for classifying, extracting and routing business documents with human review.
COMPOSINGNot in AI Estate
CURRENT SYSTEM STATEPlanning what to build
Potential components remain exploratory. Nothing shown here is automatically selected, verified or put into operation.
Candidates0under evaluation
Selected0intended, not operating
Operating0none created
WHAT ETHORITY FOUND2 of 5 requirements have potential components or an existing component to review.
Hugging Face and GitHub contribute source information to the same customer requirement. Different component roles are kept distinct.
Hugging Face · 1GitHub · 2Cross-source requirements · 1
- Candidate matches
- 3
- Need more information
- 3
- Material gaps
- 5
- Explore next
- 5
CONTINUE WITH THIS PROJECT
Choose the next answer this plan needs.
Use Deep Intelligence to investigate candidates and gaps. Use a Trust Diagnostic when you need an organization-wide position. Both paths carry the context you already established.
System · Internal document agentPurpose preservedNo source selection required
What are we trying to achieve?
Plan a bounded internal document agent before selecting or operating components.
Problem
Teams manually classify documents, copy fields and route exceptions across disconnected workflows.
Intended outcome
A reviewable document workflow that reduces repetitive work while keeping material exceptions with people.
Domain
Internal operations
Intended users
Document reviewers · Operations teams · System owners
SUCCESS CRITERIA
Extraction quality can be measured against reviewed samples
Inputs, tool calls and outcomes remain traceable
Material or low-confidence exceptions reach a human reviewer
What does this system need?
What could help—and what would each play?
Each requirement owns its candidate set. Source information may explain why something surfaced, but it does not establish suitability, trust or recommendation status.
5 material gaps · 3 important unknowns View what is still to resolveWHAT WE NEED · CAPABILITY
2Classify and extract structured fields from business documents
Partially coveredIMPLEMENTATION / TOOLGitHubkyoo-147/Dossier
Partial context- Possible role
- Implementation / analysis tooling
- Why it may matter
- Repository source metadata relates to document and structured.
- Needs validation
- Scientific validity · compatibility · production readiness
TypeScriptACTIVE0 releases · 0 tags
View details Source support · unknowns · validation
- Known from source
- TypeScript · ACTIVE · 0 releases · 0 tags
- Why it may matter
- kyoo-147/Dossier contains source or reference metadata related to document, structured.
- What we still need to know
- Not established: business, classify, extract, field.
- Validation detail
- Check scientific or functional validity, customer-data compatibility, dependencies, licensing, security and production readiness before use.
- Limitations
- GitHub repository metadata describes source code and project activity; it does not establish quality, scientific validity, security, compatibility or production readiness. Stars, forks, watchers and activity are source information only and do not affect match state or trust.
Inspect GitHub source Repository details
- Repository
- Dossier, kyoo-147/Dossier
- Owner
- kyoo-147
- Description
- Agentic document intelligence platform for OCR, document review, risk detection, provider routing, repair loops, and structured workflow automation.
- Topics
- None reported
- Language · license
- TypeScript · No license reported
- Activity context
- 2026-07-14T13:57:33Z · source activity is not quality
- Version context
- No release or tag context reported
README source context
# Dossier Local-first agentic document intelligence for reviewable, evidence-backed document workflows. Dossier processes sensitive PDFs, scans, forms and tables with OCR, provider routing, validation, bounded repair loops, risk triage, human review and evidence-backed export. It supports schema-aligned extraction, confidence and provenance for every field, business-rule validation, human approval and audit trails.
Dependency declarations
pdfjs-dist ^6.1.200 · @playwright/test ^1.61.1 · typescript ^5.9.2 · vitest ^3.2.4 · zod ^4.1.5
kyoo-147/Dossier contains source or reference metadata related to document, structured.
ETHORITY has not verified suitability.Open originalMODELHugging Facemicrosoft/layoutlm-base-uncased
Partial context- Possible role
- Model capability
- Why it may matter
- Source metadata relates to document and field.
- Needs validation
- Task fit · requirement relevance · scientific validity
token-classificationtransformersmitPUBLIC_OPEN
View details Source support · unknowns · validation
- Known from source
- token-classification · transformers · mit · PUBLIC_OPEN
- Why it may matter
- microsoft/layoutlm-base-uncased contains source or reference metadata related to document, field, structured.
- What we still need to know
- Not established: business, classify, extract.
- Validation detail
- Check intended use, evaluation evidence, licensing, data compatibility, security and operating requirements before use.
- Limitations
- Hugging Face metadata is source-reported and does not establish scientific, operational, security or governance suitability. Runtime availability and customer compatibility are not established by source presence.
WHAT WE NEED · INTEGRATION
1Execute only approved document-workflow actions
Partially coveredIMPLEMENTATION / TOOLGitHubkyoo-147/Dossier
Partial context- Possible role
- Implementation / analysis tooling
- Why it may matter
- Repository source metadata relates to document and workflow.
- Needs validation
- Scientific validity · compatibility · production readiness
TypeScriptACTIVE0 releases · 0 tags
View details Source support · unknowns · validation
- Known from source
- TypeScript · ACTIVE · 0 releases · 0 tags
- Why it may matter
- kyoo-147/Dossier contains source or reference metadata related to document, workflow.
- What we still need to know
- Not established: action, approved, execute.
- Validation detail
- Check scientific or functional validity, customer-data compatibility, dependencies, licensing, security and production readiness before use.
- Limitations
- GitHub repository metadata describes source code and project activity; it does not establish quality, scientific validity, security, compatibility or production readiness. Stars, forks, watchers and activity are source information only and do not affect match state or trust.
Inspect GitHub source Repository details
- Repository
- Dossier, kyoo-147/Dossier
- Owner
- kyoo-147
- Description
- Agentic document intelligence platform for OCR, document review, risk detection, provider routing, repair loops, and structured workflow automation.
- Topics
- None reported
- Language · license
- TypeScript · No license reported
- Activity context
- 2026-07-14T13:57:33Z · source activity is not quality
- Version context
- No release or tag context reported
README source context
# Dossier Local-first agentic document intelligence for reviewable, evidence-backed document workflows. Dossier processes sensitive PDFs, scans, forms and tables with OCR, provider routing, validation, bounded repair loops, risk triage, human review and evidence-backed export. It supports schema-aligned extraction, confidence and provenance for every field, business-rule validation, human approval and audit trails.
Dependency declarations
pdfjs-dist ^6.1.200 · @playwright/test ^1.61.1 · typescript ^5.9.2 · vitest ^3.2.4 · zod ^4.1.5
kyoo-147/Dossier contains source or reference metadata related to document, workflow.
ETHORITY has not verified suitability.Open originalWhat is operating, selected or still being considered?
Candidates
Reference only · not customer usage
None in this Compound state.
Selected
Intended · not operating
None in this Compound state.
Operating
Existing customer references only
None in this Compound state.