AI Compliance Infrastructure for Regulated Finance

Turn AI regulation into
executable compliance.

PEARL helps regulated financial institutions translate fragmented AI regulation into tailored control baselines, documentation packs, and continuous audit evidence — so AI adoption can move faster without losing control.

Faster than consulting. Sharper than generic GRC. Actionable from Day 1.

The Translation Gap in Regulated AI.

Regulation is not binary code, but institutions must operationalize it like a system.

The Alignment Gap

Compliance vs. Tech

Compliance understands rules, not technical design. Tech understands systems, not regulatory mapping. The result: slow decisions and heavy documentation effort.

The Advisory Trap

Slow & Static Consulting

Consulting approaches take months and deliver static PDF reports. The second your AI model drifts, your expensive compliance baseline becomes legacy.

Generic Tooling

Empty GRC Shells

Generic GRC platforms are good for workflow but contain no domain-specific AI logic. They leave you asking: "Given our licenses and use case, what exactly do we build?"

Layer 0: Regulatory Foundation

The AI Compliance Knowledge Matrix.

The continuous knowledge asset that gives PEARL its precision.

Atomic Precision

1,000+
Deterministic Logic Nodes

We actively encode AI-related regulatory obligations across HKMA, SFC, PCPD, and IA into a structured, continuously maintained control library.

Deterministic Engineering

We extract concrete mandates from natural language guidelines and map them into atomic control requirements. This creates an unshakable, hallucination-free foundation for compliance.

SFC_COMPLIED HKMA_MAPPED CORE_PRINCIPLES: ATOMIZED
RULE_LEDGER_V4
Omni-Coverage 100%
MANDATE_INGESTION ACTIVE
CROSS_REFERENCING 5,000+
Layer 1: Baseline Generation Engine

Transforming Ambiguity into Action.

Given who you are and how you use AI, exactly what controls do you need to have in place?

01 / Input: DNA

Licensed Profile
  • SFC Type 1, 4, 7 & 9
  • HKMA Authorized Institutions
  • VASP / Insurance Providers

02 / Input: Domain

Application Context
  • Algorithmic Trading & Execution
  • Robo-Advisory / WealthTech
  • Internal Knowledge (RAG/ChatBot)

03 / Output: Result

Compiler Output
SHARED CORE

Cross-regulator fundamentals: Ethics, Bias Controls, explainability-ready logic.

SPECIFIC OVERLAYS

Custom mandate routing based on SFC/HKMA specific Conduct of Business.

Hashed_Result: 0x82b...f1 READY
Installed Modules
HKMA Core
SFC Type 1, 4, 9
PCPD Privacy

TRANSLATION_ENGINE_UI

STATUS: COMPILED
Raw Regulatory Text
"Authorized Institutions must ensure algorithmic systems and trading models are rigorously tested to prevent adverse market impact..."

— HKMA Supervisory Policy Manual (SPM)
PEARL Atomic Control
"control_id": "HKMA-ALG-001",
"requirement": "Kill Switch Module",
"status": "APPROVED",
"mapped_to": ["JIRA-SEC-592"]
Layer 2: Readiness Pack

Defense Dossier Generation.

Stop starting from scratch. We automatically output the exact policies and evidence structures required by regulators.

Once the baseline is generated, PEARL exports a specialized Defense Dossier. This is an implementation-ready toolkit customized to your precise license and AI architecture.

Instantly arm your internal teams with the governance artifacts auditors expect to see, built from real-world institutional standards.

Dossier: SFC_Algorithmic COMPILED
Dossier: HKMA_GenAI COMPILED
Ready For Audit
Layer 3: Assurance & Audit Trail

Continuous Evidence.

From Point-in-Time PDF to Ongoing Audit Readiness.

Real-time Delta.

Every regulatory shift or model drift triggers a millisecond recalculation of your compliance state against the Layer 0 foundation.

Version Control.

PEARL tracks exactly what policy changed, when it changed, and what technical control needs updating. No more guessing across email threads.

Immutable Proof.

Your entire compliance state history is secured by private SHA-256 integrity, allowing you to instantly prove your discipline to the SFC or HKMA.

Differentiators

Why PEARL Wins.

Advantage 01

Actionable Logic

Unlike generic GRC tools that provide empty workflows, PEARL translates domain-specific AI regulation into actionable, governable control requirements.

Advantage 02

Software-Driven Speed

Unlike Big Four consulting which relies on manual, labor-heavy processes, PEARL leverages repeatable architecture to deliver readiness exponentially faster.

Advantage 03

Continuous Evidence

Regulatory expectations continuously evolve. PEARL maintains a traceable assurance trail over time to instantly answer: "what changed and why?"

The Business Case

Traditional Advisory vs. PEARL.

Why the old manual model is obsolete in the age of algorithmic iteration.

Traditional Consulting
Time to Output 6 - 12 Months
Output Format Static Narrative PDFs
Tech Alignment Low
(Manual Mapping)
Maintenance Repurchase new engagement
PEARL Trust OS ACTIVE
Time to Output 4 Weeks
Output Format Dynamic Hashed JSON
Tech Alignment 100%
(Atomic Logic)
Maintenance Continuous Versioning

From Complexity to Operational Readiness.

The AI compliance infrastructure layer that makes compliant AI adoption possible in regulated finance.