Investor Demo — Decision & Reporting Engine
Live investor view across FinTech, Crypto / Web3, AI Companies, and EU Market Entry. Operational Regulatory Intelligence — from ingestion to audit-ready compliance decisions.
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.
Company
A regulated business onboards its profile and in-scope frameworks.
Preview ↓Registration
Owner creates the workspace and invites the compliance team.
Preview ↓Upload
Transactions, customers and documents enter via CSV, Excel or PDF.
Preview ↓AI Processing
Deterministic engines normalize and reason over the data.
Preview ↓Risk Analysis
Inherent, residual and readiness scores with explainable drivers.
Preview ↓Framework Mapping
Every signal maps to obligations across the EU framework set.
Preview ↓Decision Intelligence
Recommended actions, owners and priorities — not just charts.
Preview ↓Evidence
Controls and evidence are linked behind each decision.
Preview ↓Executive Report
Audit-ready reporting pack assembled for regulators and boards.
Preview ↓Monitoring
Ongoing scans surface new alerts and deadline pressure.
Preview ↓Agent Collaboration
A team of explainable agents coordinates the operational response.
Preview ↓Live Product Walkthrough
The actual product, module by module
These are real modules in the ReguShield workspace — the live compliance scenario below is generated by the same pipeline. Previews are labelled; nothing here is a mock screenshot.
Upload
Ingest operational data and documents.
Decision Center
Turn signals into prioritized decisions.
Evidence Center
Link controls and evidence to obligations.
Compliance Graph
See the obligation → control → evidence map.
Executive Report
Export an audit-ready reporting pack.
Operations
Track tasks, owners and approvals.
Agent Console
Coordinate explainable compliance agents.
Live compliance scenario below is produced by the real engine — labelled as a product preview, never a fabricated screenshot.
FinTech
Ingestion Sources
Core Evidence
The case is a standard transaction monitoring analysis for a business transaction amounting to €5000 between Germany and Lithuania. With complete KYC and verified source of funds, the risk is primarily assessed on transactional patterns rather than inherent compliance gaps.
The transaction involves a business customer from Germany to Lithuania, with no flags raised during KYC or sanctions screening assessments, resulting in a medium risk classification.
Live Signals
Impact Analysis
The transaction involves a business customer from Germany to Lithuania, with no flags raised during KYC or sanctions screening assessments, resulting in a medium risk classification.
Generated Alerts
Generated Actions
Investor-Visible Metrics
Request the full report
Leave your details and our team will follow up with the full compliance report and pilot next steps.
Decision Layer Value
Proof → Request → Report
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.