Built by Architects Who Defended Institutional Audits.
Financial institutions in Hong Kong operate under strict regulatory scrutiny from the Hong Kong Monetary Authority (HKMA), Securities and Futures Commission (SFC), Privacy Commissioner for Personal Data (PCPD), and Insurance Authority (IA). While engineering teams move rapidly to adopt generative AI and algorithmic models, Second Line of Defense (2LoD) Risk and Compliance functions face a fundamental translation dilemma: how to map high-level regulatory circulars into concrete, verifiable technical controls.
Founder Ming Liu established AI LING Advisory to solve this translation gap with mathematical determinism rather than narrative consulting.
Having served as Business Information Security Officer (BISO) at Fidelity International and as a Senior Consultant at Deloitte, Ming chaired institutional risk committees and managed complex supervisory audits. He understands the exact evidence standards that internal audit committees and regulatory inspection panels demand.
"I built the exact deterministic control compiler I would have required during my time as an institutional risk gatekeeper. 2LoD defense cannot rely on consultant subjectivity or probabilistic LLM hallucinations."
— Ming Liu, CISSP / CISM / CISA
The Three Pillars of PEARL Determinism
PEARL executes pure deterministic graph compilation. Every mandatory control links directly to verbatim paragraph citations from HKMA, SFC, PCPD, and IA circulars with mathematical negative proof.
Compliance intent is simultaneously outputted as Executive Supervisory Memoranda for Board/Regulators and Jira-ready DevSecOps control matrices for Engineering squads.
Evaluations execute completely In-VPC or on-premises within Hong Kong cloud zones. Zero customer training data, model parameters, or prompt logs egress to third-party APIs.
Direct Executive Line • 24-Hour SLA