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

Investor Demo — Decision & Reporting Engine

Guided demo on sample data across FinTech, Crypto / Web3, AI Companies, and EU Market Entry — from ingestion and regulatory mapping to audit-ready compliance decisions. Illustrative only; not legal advice.

Guided demo · sample dataAudit-Ready Decision LayerDeterministic, human-reviewed decision supportRegulator-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.

The compliance chain

Guided demo · sample data

From organization facts to an audited decision

A sample visualization of the concept, walked through on illustrative data below. It is not a map of the current customer workspace: some steps are available today, others are not (see the status list).

  1. Step 1

    Organization facts

    Who the business is: sector, services, customers and footprint.

  2. Step 2

    Applicability & readiness

    Which frameworks apply, and how ready the business is against them.

  3. Step 3

    Obligations

    The specific duties those frameworks create.

  4. Step 4

    Controls

    What the business does to meet each obligation.

  5. Step 5

    Findings, cases & actions

    Gaps and signals become findings, cases and owned actions.

  6. Step 6

    Evidence

    Proof linked to the control, case or action it supports.

  7. Step 7

    Human decision

    A qualified person reviews and decides; the software never decides alone.

  8. Step 8

    Reporting & audit

    A report and an audit trail of what was decided and why.

Where each capability stands

What a customer can use today

Each status below comes from our one public product-truth record — the same one used across the site. Anything not listed as available is not part of the customer workspace today.

  • Compliance workspace, CSV / Excel upload and reporting

    Available

    Available

  • Readiness assessments

    Early Access

    Early Access · human review required

  • Compliance position

    Early Access

    Early Access · human review required · axes appear as your assessments are completed

  • Case records

    Controlled activation

    Through the REST API with API access; in-workspace case management is planned

  • Continuous monitoring

    Not currently available

    Not currently available · scans run on demand

  • Coordinated compliance agents

    Not currently available

    Not currently available · a possible future capability

  • Multi-entity group workspaces

    Not currently available

    Not currently available · a possible future capability

The sector scenario below is an illustrative deterministic sample — fixed example data, not output from a customer workspace.

Guided demo · sample dataIllustrative deterministic sample · fixed example data per sector
Regulatory Scope
AI Act
2024–2027 phased
Risk-based regulatory framework for AI systems across four tiers: unacceptable, high-risk, limited risk, and minimal risk.
DORA
January 2025
EU regulation requiring financial entities to strengthen ICT risk management, incident reporting, and third-party oversight.
Sector Focus

AI Companies

Regulatory Scope
EU AI Act / FRIA / DORA
Sample scenario — DemoAI Governance Ltd. — connect your own data in a workspace to see your own results
88
AI Risk
Status
Critical Exposure
Primary Team
AI Governance
Priority
High
Business Impact
corporate — EU
Data Inputs

Data Sources

AI system governance workflow
Fundamental Rights Impact Assessment
Model risk classification data
Human oversight control audit
Case Details

AI Governance Evidence

Reference code: RS-AI-2024-0001
Customer type: corporate
Customer risk level: high
Cross-border: No
Sample Compliance ScenarioGuided demo · sample data

AI Act High-Risk System — Credit Decisioning Model Without FRIA

AI system deployed in credit decisioning classified as high-risk under EU AI Act Annex III. No Fundamental Rights Impact Assessment (FRIA) on file. Human oversight controls are insufficiently documented. Conformity assessment required before continued deployment.

Critical
Team
AI Governance
Priority
High
Impact
corporate — EU
Output
AI Act Compliance Package
Detection Layer

Sample Signals

Risk level: critical
Governance readiness score: 88
Affected team: AI Governance
Status: under_review
Analysis Layer

Impact Analysis

AI system deployed in credit decisioning classified as high-risk under EU AI Act Annex III. No Fundamental Rights Impact Assessment (FRIA) on file. Human oversight controls are insufficiently documented. Conformity assessment required before continued deployment.

Recommended Action
Commission AI Act conformity assessment (Annex III)
Alert Layer

Sample Alerts

High-Risk AI System — Conformity Assessment Missing
critical
AI Act Article 43 requires conformity assessment before deployment of Annex III systems. System currently in production without certification.
FRIA Not Completed
high
Fundamental Rights Impact Assessment required under AI Act Article 27 for credit decisioning. Assessment absent.
Human Oversight Controls Inadequate
high
AI Act Article 14 requires documented human override capability. Current system lacks override audit trail.
DORA ICT Risk — AI Vendor Contract Gap
medium
AI model vendor contract missing DORA-required ICT concentration risk and exit strategy clauses.
Action Layer

Sample Actions

Commission AI Act conformity assessment (Annex III)
Immediate
Owner: AI Governance · Status: Pending
Complete Fundamental Rights Impact Assessment (FRIA)
High
Owner: Legal & Compliance · Status: Pending
Implement human oversight audit trail for model decisions
High
Owner: Engineering · Status: Pending
Update AI vendor contract with DORA ICT clauses
Medium
Owner: Legal · Status: Pending
Submission Readiness

Decision Summary

Compliance Risk Score
88
Sample Alerts
4
Sample Actions
4
Sample readiness (illustrative)
92%
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

The sample shows the intended chain from uploaded records to scoring, findings and recommended actions for human review.
FinTech, Crypto / Web3, AI Companies, and EU Market Entry each show one fixed, illustrative sample scenario.
Investor Flow

Proof → Request → Report

1. See an illustrative deterministic sample decision — fixed example data, not output from a customer workspace.
2. Move from demo to your own data in a Visibility or Compliance Copilot workspace.
3. Watch operational data become scored risk, alerts and recommended actions.

Why ReguShield

Built for the EU regulatory reality

The regulatory areas ReguShield is built around. Coverage means an area is mapped for review — not a legal opinion, and not a claim that every feature is available today.

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 — mapped for readiness review.

DORA

ICT risk and resilience obligations mapped for readiness review.

Travel Rule

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

Explainability

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

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

Replace scattered manual mapping and triage with one consistent workflow.

Operational visibility

One view across risk, evidence, actions and deadlines.

Audit readiness

An audit trail that builds up as the work is done, 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.

Team workspaces

Role-based team workspaces built on tenant isolation.

Technical Credibility

Engineered as a system, not a slide

The engineering underneath. Code existing is not the same as a customer capability — availability is in the status list above.

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.

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.