Know where risk lives.
A live register across the institution. Nothing off-book, nothing lost in a spreadsheet, nothing a supervisor can find that you cannot.
AI governance for MAS-regulated financial institutions.
We turn supervisory expectations into a live, defensible record: inventory, controls, evidence, and attestations, all in one platform. Built in Singapore to help firms meet MAS's proposed AI Risk Management Guidelines.
Global platforms serve the largest banks. Governance Row is built for everyone else. The thousands of regulated financial institutions that carry the same obligations with a fraction of the resource. One platform, purpose-built for the work, producing the same thing: a defensible record on demand.
A live register across the institution. Nothing off-book, nothing lost in a spreadsheet, nothing a supervisor can find that you cannot.
Every requirement met with attached, timestamped proof: each control tied to the exact supervisory expectation it satisfies.
Board-ready reporting and an append-only audit trail. The document a supervisor asks for, generated in one motion.
Mapped to your supervisor's own clauses (MAS AIRG, MindForge, Veritas), with EU and US best practice under the surface.
Governance Row runs on one evidence-first architecture: an inventory of what is regulated, controls proportionate to the risk, evidence attached, and a record that stands up on inspection.
AI risk governance for financial institutions regulated by MAS. Every AI use inventoried, risk-assessed, controlled, and inspection-ready, mapped clause by clause to supervisory expectations.


Governance Row is different in three specific ways. Every one of them matters when a supervisor is at the door.
Every control cites the exact MAS clause it satisfies. Not a translation of a US or EU framework, built to the local rulebook, with global best practice layered in.
Global platforms cost US$30,000 to $200,000 a year. Governance Row is subscription software mid-market institutions can actually adopt. Proportionality is a design principle.
An append-only ledger records every control, every attestation, every change, written on the server and timestamped. Entries cannot be edited or removed, not even by our own admin tools. A supervisor gets the whole record, not a summary we assembled for them.
Five steps, one record.
Governance Row replaces the spreadsheets, email approvals, and Word documents that make up most firms' AI governance today.
Log every AI use (vendor tools, staff use of public models, internal builds) with an owner, source, and description.
Score risk materiality across impact, complexity, and reliance. Inherent risk before controls, residual risk after.
Apply the controls MAS expects for that risk tier. Every control tied to the exact clause it satisfies.
Attach the proof each control requires: attestations, test results, sign-offs. Missing evidence is visible; nothing hides.
Generate the inspection pack in one motion. Board-ready reporting. Backed by the append-only audit trail. Ready the day a supervisor asks.
The largest pool of MAS-licensed institutions. Compliance runs on one to three people, or is outsourced entirely. Every AI use recorded on the same platform.
Fund administrators, fractional CCO firms, professional services. Teams carrying the obligation on behalf of dozens of licensees, all in one governance record.
Material AI risk sits at the core of the product: fraud scoring, onboarding, credit models. Governance Row maps the risk across every use.
AI in claims, underwriting, and client-facing chat. The same obligation, different regulatory pillars, one platform.
Not translated. Not derived. Grounded.
Governance Row's control library is grounded in the supervisor's own materials. Where MAS is thinner than global practice, we strengthen quietly with EU AI Act and NIST AI RMF conventions. The record produced is defensible against any of them.
Proposed under MAS consultation paper P017-2025, still being finalised. Governance, systems and processes, life-cycle controls, capability and capacity.
Published under Project MindForge by MAS and 24 industry partners. Working templates for identification, inventory, GenAI, and life-cycle controls.
MAS's toolkit for assessing fairness, ethics, accountability, and transparency in FS AI/ML systems.
A voluntary industry reference model for real-time safeguards on agentic AI, developed through MAS's BuildFin.ai collaboration (2026). Not a supervisory expectation.
Technology and cyber risk management principles, applied to AI systems and third-party deployments.
Access is opening to a small number of institutions ahead of enforcement. Talk to us about your AI governance before your supervisor asks to see it.