VANTREXIS Labs concept

PRISM

AI analysis that never loses its connection to evidence. PRISM explores an evidence-first approach to document intelligence, connecting findings to entities, relationships, and exact source passages so users can move from an AI-generated conclusion back to the documents that support it—while humans remain responsible for the final decision.

  • AI
  • Document Intelligence
  • Knowledge Graph
  • Explainability
Trace a finding Interactive concept · Synthetic data
Type
VANTREXIS Labs concept
Domain
AI Intelligence & Knowledge Workspace
Format
Interactive system model
Interaction
Evidence tracing

What the concept explores

AI can produce answers quickly. Trust requires a path back to evidence.

PRISM explores an AI workflow where every important conclusion remains connected to the document, section, and exact cited passage behind it—while a human reviewer controls the final decision.

Evidence-first findings

Each important conclusion references typed evidence IDs that resolve to document sections and exact source passages.

Knowledge relationships

Findings highlight the companies, agreements, people, assets, and financial relationships they concern.

Human review

Accept, request clarification, dismiss, and note actions update a local audit trail without suggesting autonomous judgment.

System model

The interaction follows the system, not a generic dashboard pattern.

The demo runs entirely in the browser with typed, deterministic mock data. Each state transition is derived from relationships in the product model.

  1. 01

    Open a diligence finding

  2. 02

    Inspect the AI interpretation

  3. 03

    Trace linked evidence

  4. 04

    Read the exact source

  5. 05

    Record a human decision

Engineering challenges

Complexity placed where it improves understanding.

The concept focuses on relationship modelling, consequential interaction, and operational clarity—not fabricated business outcomes.

  • Finding-to-evidence-to-document resolution
  • Graceful handling of missing references
  • Distinct document-first responsive workspace
  • Knowledge graph tied to selected findings
  • Clear separation of interpretation and source text
  • Deterministic review and audit state

Engineering focus

Engineering AI conclusions that remain connected to evidence.

PRISM explores the systems behind evidence-first intelligence: connecting machine-generated findings to document structure, business relationships and exact source passages while preserving a clear path for human review and accountable decision-making.

  1. 01

    Evidence graph modeling

    Represent findings, clauses, agreements, entities and exact source references as an explicit evidence model so conclusions remain connected to the relationships that support them.

    Findings · Clauses · Entities · Source references

  2. 02

    Explainable AI workflows

    Design analysis flows where an AI-generated finding can be traced through its supporting reasoning context instead of being presented as an isolated answer.

    Traceability · Evidence context · Explainable conclusions

  3. 03

    Source synchronization

    Keep the selected finding, evidence reference, document, page, section and highlighted source passage synchronized as the user moves through the investigation.

    Finding state · Evidence references · Source context

  4. 04

    Document intelligence workflows

    Structure large document collections so findings can retain meaningful connections to document categories, clauses, entities and review context across a due-diligence workspace.

    Document structure · Retrieval context · Data-room workflows

  5. 05

    Human-in-the-loop review

    Separate machine-generated analysis from human decisions through explicit review states, reviewer actions and evidence-preserving workflows.

    Review states · Decision controls · Human ownership

  6. 06

    Auditable decision state

    Preserve how a finding moved from generated analysis through review, notes and final disposition without disconnecting that history from the supporting evidence.

    Audit history · Review state · Decision provenance

Evidence model

From document analysis to accountable human decision.

  1. 01

    Document context

    • Documents
    • Clauses
    • Entities
  2. 02

    AI finding

    • Potential issue
    • Severity
    • Analysis context
  3. 03

    Evidence resolution

    • Supporting clause
    • Agreement relationship
    • Evidence references
  4. 04

    Exact source

    • Document
    • Page & section
    • Source passage
  5. 05

    Human review

    • Accept / review / dismiss
    • Reviewer notes
    • Audit history

Interactive product concept

Follow an AI-generated risk finding back to its source.

No account or external service is required. The demo is static-hostable and resets to a coherent first-run state.

Trace a finding

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