INVESTOR DEMOSample DataRead-only environment
ReguShield AI — Compliance Intelligence Infrastructure

Investor Demo — Decision & Reporting Engine

Sample investor view across FinTech, Crypto / Web3, AI Companies, and EU Market Entry. Operational Regulatory Intelligence — from ingestion to audit-ready compliance decisions.

Audit-Ready Decision LayerEnterprise AI Compliance OperationsRegulator-Grade Reporting Format (sample)

Executive Introduction

From regulatory pressure to defensible decisions

Understand ReguShield in five steps — the problem, the complexity, the operational gap, our solution, and why decision intelligence is the difference.

01

Industry Problem

Regulated digital businesses face rising AML, crypto and AI obligations with teams and spreadsheets that don't scale.

02

Regulatory Complexity

AMLA, AMLR, MiCA, DORA, the EU AI Act and the Travel Rule each impose overlapping, evolving duties.

03

Operational Challenge

Compliance lives across disconnected tools — risk, evidence and decisions are hard to trace and slow to act on.

04

ReguShield Solution

One layer turns operational data into mapped obligations, scored risk, evidence and recommended decisions.

05

Why Decision Intelligence

We don't ship dashboards — we deliver explainable, audit-ready decisions a compliance officer can defend.

Customer Journey

One continuous path from upload to agent collaboration

Every step is a real stage in the ReguShield workflow. Jump straight to the live product evidence below.

Live Product Walkthrough

The actual product, module by module

These are real modules in the ReguShield workspace — the sample compliance scenario below is generated by the same pipeline. Previews are labelled; nothing here is a mock screenshot.

Product module

Upload

Ingest operational data and documents.

Product module

Decision Center

Turn signals into prioritized decisions.

Product module

Evidence Center

Link controls and evidence to obligations.

Product module

Compliance Graph

See the obligation → control → evidence map.

Product module

Executive Report

Export an audit-ready reporting pack.

Product module

Operations

Track tasks, owners and approvals.

Product module

Agent Console

Coordinate explainable compliance agents.

Sample compliance scenario below is produced by the real engine — labelled as a product preview, never a fabricated screenshot.

Regulatory Scope
AMLA 2027
2027
New EU supervisory body with direct oversight powers over obliged entities, replacing fragmented national enforcement.
AMLR
2025–2027
Directly applicable EU regulation harmonising AML/CFT rules across Member States without national transposition.
AMLD6
2020–ongoing
Extends criminal liability for money laundering to legal persons and expands predicate offences to 22 categories.
DORA
January 2025
EU regulation requiring financial entities to strengthen ICT risk management, incident reporting, and third-party oversight.
Sector Focus

EU Market Entry

Regulatory Scope
AMLA 2027 / AMLR / AMLD6 / DORA
Demo scenario — DemoMarket Entry FinTech Ltd. — connect your own data in a pilot to see live results
72
AI Risk
Status
gap_analysis
Primary Team
Regulatory Affairs
Priority
High
Business Impact
UK → EU
Data Inputs

Data Sources

Licensing gap analysis workflow
CDD controls review
ICT risk framework assessment
Beneficial ownership reporting audit
Case Details

Market Entry Evidence

Reference code: RS-ME-2024-0001
Customer type: corporate
Customer risk level: medium
Cross-border: Yes
Sample Compliance Scenario

EU Market Entry — FinTech Licensing Gap Analysis (UK → EU)

UK-based FinTech seeking EU market access via Lithuania EMI licence. Gap analysis identifies 4 material compliance gaps: DORA ICT framework not yet EU-aligned, AMLA 2027 CDD controls require update, AMLD6 criminal liability provisions not reflected in corporate policy, and AMLR beneficial ownership reporting infrastructure absent.

High
Team
Regulatory Affairs
Priority
High
Impact
UK → EU
Output
Regulatory Gap Report
Detection Layer

Sample Signals

Entry route: UK → EU
Entity type: corporate
Readiness score: 72%
Status: gap_analysis
Analysis Layer

Impact Analysis

UK-based FinTech seeking EU market access via Lithuania EMI licence. Gap analysis identifies 4 material compliance gaps: DORA ICT framework not yet EU-aligned, AMLA 2027 CDD controls require update, AMLD6 criminal liability provisions not reflected in corporate policy, and AMLR beneficial ownership reporting infrastructure absent.

Recommended Action
Implement DORA-compliant ICT risk management framework
Alert Layer

Generated Alerts

DORA ICT Framework Gap
high
DORA Article 5 ICT risk management framework must be in place before EU licence approval. Current UK framework not equivalent.
AMLA 2027 CDD Controls Not EU-Ready
high
AMLA 2027 requires updated CDD workflows for all obliged entities operating in EU. UK controls require localisation.
AMLD6 Corporate Liability Policy Missing
medium
AMLD6 criminal liability provisions for legal persons not reflected in company compliance policy.
AMLR Beneficial Ownership Reporting Gap
medium
AMLR requires automated beneficial ownership reporting infrastructure. Current manual process non-compliant.
Action Layer

Generated Actions

Implement DORA-compliant ICT risk management framework
High
Owner: Technology Risk · Status: Pending
Localise CDD controls for AMLA 2027 EU requirements
High
Owner: Compliance · Status: Pending
Update corporate liability policy for AMLD6 compliance
Medium
Owner: Legal · Status: Pending
Automate beneficial ownership reporting for AMLR
Medium
Owner: Operations · Status: Pending
Submission Readiness

Decision Summary

Compliance Risk Score
72
Generated Alerts
4
Generated Actions
4
Sample readiness (illustrative)
80%
Investor Request

Request the full report

Leave your details and our team will follow up with the full compliance report and pilot next steps.

Why This Matters

Decision Layer Value

ReguShield creates a visible chain from case ingestion to AI scoring, alert generation, and operational action.
FinTech, Crypto / Web3, AI Companies, and EU Market Entry are all sample investor-visible sectors powered by the same compliance decision engine.
Investor Flow

Proof → Request → Report

1. See a deterministic compliance decision produced by the real engine on sample data.
2. Move from demo to your own data in a pilot workspace.
3. Watch operational data become scored risk, alerts and recommended actions.

Why ReguShield

Built for the EU regulatory reality

Each capability below exists in the product today and maps to a real obligation or engine.

AMLA / AMLR

EU-level supervision, unified CDD and STR duties mapped to your operations.

MiCA

CASP authorization, reserve and Travel-Rule obligations for crypto businesses.

EU AI Act

High-risk AI duties — FRIA, human oversight and conformity — made operational.

DORA

ICT risk, incident reporting and resilience testing tracked as real work.

Travel Rule

Originator / beneficiary data obligations on transfers above the EU threshold.

Explainability

Every score and recommendation carries reasoning you can show a regulator.

Agentic Compliance

A coordinated team of deterministic agents, not a scripted chatbot.

Operational Decision Intelligence

Signals become owned, prioritized decisions — the layer above dashboards.

Business Value

Value, not feature lists

What a regulated business actually gets — described qualitatively, with no invented numbers.

Time reduction

Collapse manual mapping and triage into one automated pipeline.

Operational visibility

One view across risk, evidence, actions and deadlines.

Audit readiness

A regulator-ready trail assembled continuously, not at quarter-end.

Evidence traceability

Every decision links to the control and evidence behind it.

Explainable AI

Defensible reasoning instead of black-box scores.

Lower compliance cost

Do more with the team you have as obligations grow.

Enterprise scalability

Multi-entity, role-based workspaces built on tenant isolation.

Technical Credibility

Engineered as a system, not a slide

The substance behind the narrative — every item is a real part of the codebase.

Architecture

Layered ingestion → intelligence → decisioning → outputs.

Decision Engine

Deterministic scoring and recommendation logic.

Audit Trail

Append-only event logging across the workspace.

Evidence Chain

Obligation → control → evidence linkage.

Compliance Graph

Relationships between rules, signals and controls.

Agent Framework

Explainable, orchestrated agents with frozen reasoning envelopes.

Explainability

Reasoning surfaced on every output.

Security

Supabase Auth + row-level tenant isolation.

Take the next step

See it on your own data

ReguShield AI is decision-support infrastructure — not legal advice or regulatory approval.