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Working MVP / Functional prototype

Agentic AI-Powered
evidence review workspace.

EvidenceVault helps human reviewers organise complex evidence bundles, identify possible review points, and prepare source-traceable reports with human oversight.

Built for document-heavy compliance, investigation, legal, HR, public sector, and financial services review workflows. EvidenceVault supports review work — it does not make final legal, fraud, misconduct, compliance, financial, or operational decisions.

Source-traceable outputs Human oversight Review workflow Responsible AI by design
Case Intelligence Workspace

My Cases

Organise evidence, upload documents, and prepare cases for AI-assisted review.

Active Cases 6
Documents 57
Reports 32

AML Pattern Review Demo

Fictional review case with source material and human review readiness.

Analysed

HR Grievance Review Demo

Policy references, notes, and source-backed report output.

Human Review

Legal Bundle Review Demo

Evidence bundle prepared for timeline and inconsistency review.

Report Ready

Source Traceability Demo

Review prompts linked back to uploaded source material.

Sources Ready

Turn document-heavy cases into a structured review workspace.

EvidenceVault is being developed by AEGIS LOGIC LTD as a SaaS product for teams that handle complex document review workflows. It brings case documents, notes, reference material, source traceability, and AI-assisted review support into one controlled workspace.

Evidence organisation

Create a case workspace, upload documents, add notes, attach reference material, and keep review material structured.

Source-backed review

Important review prompts are designed to link back to source documents, extracted passages, and supporting material.

Human-review-safe

EvidenceVault uses neutral wording and stops at review support. Final judgement remains with human reviewers.

Review workflow

How EvidenceVault works

EvidenceVault brings evidence documents, reviewer notes, reference material, document libraries, and reference match lists into one controlled review workflow. The platform prepares structured, source-traceable outputs that help human reviewers verify the case before taking action.

📁
1

Create case

Start a controlled case workspace for a document-heavy review matter.

📄
2

Upload evidence

Add PDFs, scanned files, statements, records, reports, and supporting material.

📝
3

Create notes

Add reviewer observations, working notes, and case-specific context.

⚖️
4

Add reference material

Attach laws, internal policies, procedures, guidance, and review rules.

📚
5

Prepare document library

Store reusable materials such as civil law, criminal law, manuals, and standards.

🔎
6

Add reference match lists

Upload names, addresses, account lists, entity lists, and structured comparison inputs.

🧠
7

Run analysis

EvidenceVault prepares, organises, maps, and reviews material using controlled AI support.

📊
8

Structured report

Generate a source-traceable report for human review, not automated decision-making.

Reference material examples

  • Laws and regulations
  • Internal policies
  • Procedures and guidance

Document library examples

  • Civil law materials
  • Criminal law materials
  • Manuals and internal documents

Reference match examples

  • Name lists
  • Address lists
  • Account and entity lists
Use cases

Built for document-heavy review workflows.

EvidenceVault is designed for teams that need clearer structure, source traceability, and human oversight when reviewing complex bundles of evidence, policies, records, statements, and supporting documents.

🏦

AML & financial crime review

Support review of transaction explanations, source-of-funds evidence, KYC records, alerts, and AML reference material.

🕵️

Fraud investigation support

Organise evidence bundles, compare statements, identify possible timeline issues, and highlight possible inconsistencies.

Compliance review

Review internal policies, procedures, customer files, supporting evidence, reference material, and reviewer notes.

👥

HR grievance & disciplinary review

Support structured review of statements, notes, policies, timelines, and documents requiring follow-up.

⚖️

Legal evidence preparation

Help organise evidence bundles, build possible timelines, and trace report points back to source documents.

🏛️

Public sector case review

Support casework, complaint review, administrative review, and investigation-style document workflows.

Responsible AI

Designed for human oversight.

EvidenceVault is built around a simple operating principle: AI can prepare, organise, compare, and explain review material, but final judgement remains with human reviewers.

What EvidenceVault supports

AI-assisted review support

EvidenceVault can help reviewers organise evidence, identify possible review points, compare documents, map findings to source material, and prepare structured outputs for verification.

  • Possible inconsistencies
  • Possible missing evidence or policy gaps
  • Possible source relevance
  • Source-traceable review prompts
  • Human review readiness
!
What EvidenceVault does not do

No automated decisions

EvidenceVault does not provide legal advice, confirm fraud, prove misconduct, decide liability, guarantee compliance, or replace qualified reviewers.

  • No automated legal decision-making
  • No automated fraud decision-making
  • No disciplinary or immigration decisions
  • No final compliance conclusions
  • No fully autonomous case outcomes
Core principle AI prepares. Humans verify, decide, and act.

Findings are review prompts only and should be checked against the original source documents before any action is taken.

Working MVP

Functional prototype with controlled demo access.

EvidenceVault is currently a working MVP in active development. The product already includes a case dashboard, case workspace, document upload, notes, reference material, reports, OCR/document extraction, source traceability, and controlled review workflows.

Working case workspace and document review flow

AI-assisted reports with source-traceable review direction

Demo access available on request during the MVP stage

Request Demo Access
EvidenceVault report preview
EvidenceVault source-traceable case analysis report preview
Business model

Digital-native SaaS business model.

EvidenceVault is being developed as a SaaS product for teams that handle document-heavy review workflows. The intended model is subscription-based workspace access, with demo access available on request during the working MVP stage.

☁️
Workspace access

Cloud-based review workspace

Users access case workspaces, uploaded documents, reviewer notes, reference material, source traceability, and structured review reports through a secure web-based product.

🏢
Organisation plans

Future team and partner access

Future organisation plans are intended for compliance teams, legal teams, HR teams, public-sector units, regulated-sector partners, and controlled pilot users.

Current stage: EvidenceVault is currently offered through controlled demo access while the working MVP is refined for pilots, mentors, accelerators, and potential regulated-sector partners.
Founder & company

Built by AEGIS LOGIC LTD.

EvidenceVault is developed by AEGIS LOGIC LTD, a UK-based software company building AI-powered tools for structured review, operational clarity, document intelligence, and responsible human oversight.

The product is founder-led by Yasiru Fernando and is being developed to help reviewers organise complex material, understand what documents say, trace findings back to source material, and preserve human judgement.

EV
EvidenceVault by AEGIS LOGIC
Founder Yasiru Fernando
Company AEGIS LOGIC LTD
Product EvidenceVault
Status Working MVP / functional prototype
Founder-led product

EvidenceVault is being built to support professionals and teams that need clearer structure, source traceability, and review discipline when working with document-heavy cases.

Future direction

Built with a long-term global review roadmap.

EvidenceVault is being developed with a long-term direction toward multilingual, jurisdiction-aware, and sector-specific document review workflows. Future capabilities will remain source-traceable, human-review-safe, and designed for responsible AI use.

🌐

Multilingual review direction

Future development may support multilingual evidence bundles, translated report outputs, and original-language source traceability where suitable.

⚖️

Country and jurisdiction libraries

EvidenceVault is intended to support approved reference libraries for laws, procedures, policies, regulations, and jurisdiction-specific guidance.

🏛️

Sector-specific review workflows

Future workflows may support compliance, legal, HR, public sector, investigation, AML, complaints, and operational review use cases.

🔎

Source-traceable intelligence engine

The long-term intelligence layer is focused on OCR cleanup, document classification, source mapping, reference matching, and report outputs that remain checkable by human reviewers.

Important: These roadmap areas describe intended product direction. EvidenceVault does not make final legal, fraud, compliance, disciplinary, immigration, financial, or operational decisions. Final judgement remains with human reviewers.
FAQ

Clear answers for reviewers, mentors, and pilot partners.

EvidenceVault is being built as a controlled AI-assisted review workspace. These answers explain the product, its limits, current stage, and business model.

What is EvidenceVault?

EvidenceVault is an agentic AI-powered evidence review workspace for document-heavy case review. It helps human reviewers organise evidence, upload documents, add notes, attach reference material, run AI-assisted review support, and prepare source-traceable outputs for human verification.

Does EvidenceVault make decisions?

No. EvidenceVault does not make final legal, fraud, compliance, disciplinary, immigration, financial, safeguarding, or operational decisions. It provides review support only. Final judgement remains with human reviewers.

What does agentic AI-powered mean?

In EvidenceVault, agentic AI-powered means controlled AI workflows that help prepare, organise, compare, map, and explain case material. It does not mean uncontrolled autonomy or automated decision-making.

Is EvidenceVault available now?

EvidenceVault is currently a working MVP / functional prototype in active development. Controlled demo access is available on request for mentors, accelerators, potential pilot partners, and relevant professional users.

What is the business model?

EvidenceVault is being developed as a SaaS product for teams that handle document-heavy review workflows. The intended model is subscription-based workspace access, with demo access available on request during the working MVP stage.

Request demo

Ready to review EvidenceVault?

Request controlled demo access for the working MVP. EvidenceVault is suitable for mentors, accelerators, compliance professionals, legal reviewers, HR teams, public sector innovation teams, and potential pilot partners.

Contact AEGIS LOGIC
EvidenceVault provides AI-assisted review support only. Findings are review prompts and must be checked by a human reviewer against the original source documents before any action is taken.