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Governance Row

Governance, evidenced.

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.

MAPPED TO MAS AI GOVERNANCE FRAMEWORKS AND STANDARDS
  • MAS AIRG
  • MindForge
  • Veritas
  • SAFR
  • TRM Guidelines
THE HOUSE

GOVERNANCE ROW builds the record.

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.

01SIGHT

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.

02EVIDENCE

Prove control, not intent.

Every requirement met with attached, timestamped proof: each control tied to the exact supervisory expectation it satisfies.

03RECORD

Answer in one motion.

Board-ready reporting and an append-only audit trail. The document a supervisor asks for, generated in one motion.

04STANDARD

Built to the local rulebook.

Mapped to your supervisor's own clauses (MAS AIRG, MindForge, Veritas), with EU and US best practice under the surface.

THE PLATFORM

One platform. Purpose-built.

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.

MAPPED TO MASMAS AIRG

AI risk governance

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.

  • AI register with third-party detection
  • Risk materiality assessment
  • Life-cycle controls, evidenced
  • Board dashboard for oversight
  • Inspection pack in one motion
  • SAFR agent controls
Governance Row risk assessment for an AI use: Impact, Complexity and Reliance each scored on Low / Medium / High buttons coloured sage, amber and terracotta, producing a computed inherent risk tier.
Illustrative sample data
Governance Row dashboard showing a firm's AI governance at a glance: 14 AI uses registered, 71% assessment coverage, 53 applicable controls, 10 evidence items, a control-coverage panel (24 of 53 controls evidenced, 45%), and the highest-risk gaps to close.
Illustrative sample data
WHY GOVERNANCE ROW

Not another AI-governance platform.

Governance Row is different in three specific ways. Every one of them matters when a supervisor is at the door.

01

Mapped to your supervisor.

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.

02

Priced for everyone else.

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.

03

Evidence, not intent.

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.

HOW IT WORKS

From AI use to inspection-ready: five steps, one motion.

Five steps, one record.

Governance Row replaces the spreadsheets, email approvals, and Word documents that make up most firms' AI governance today.

01

Inventory.

Log every AI use (vendor tools, staff use of public models, internal builds) with an owner, source, and description.

02

Assess.

Score risk materiality across impact, complexity, and reliance. Inherent risk before controls, residual risk after.

03

Control.

Apply the controls MAS expects for that risk tier. Every control tied to the exact clause it satisfies.

04

Evidence.

Attach the proof each control requires: attestations, test results, sign-offs. Missing evidence is visible; nothing hides.

05

Produce.

Generate the inspection pack in one motion. Board-ready reporting. Backed by the append-only audit trail. Ready the day a supervisor asks.

WHO WE SERVE

Built for the institutions supervisors scrutinise most.

SINGAPORE FIRST · MAS AIRG
SEGMENT 01

Fund managers & capital markets intermediaries

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.

SEGMENT 02

Outsourced compliance houses

Fund administrators, fractional CCO firms, professional services. Teams carrying the obligation on behalf of dozens of licensees, all in one governance record.

SEGMENT 03

Payment institutions & digital fintechs

Material AI risk sits at the core of the product: fraud scoring, onboarding, credit models. Governance Row maps the risk across every use.

SEGMENT 04

Insurers, brokers & advisers

AI in claims, underwriting, and client-facing chat. The same obligation, different regulatory pillars, one platform.

BUILT TO A STANDARD

The clauses your supervisor writes, mapped to the controls we build.

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.

MAS AIRG01
Guidelines on AI Risk Management (AIRG)

Proposed under MAS consultation paper P017-2025, still being finalised. Governance, systems and processes, life-cycle controls, capability and capacity.

MINDFORGE02
Operationalisation Handbook (January 2026)

Published under Project MindForge by MAS and 24 industry partners. Working templates for identification, inventory, GenAI, and life-cycle controls.

VERITAS03
FEAT Assessment Toolkit (2022)

MAS's toolkit for assessing fairness, ethics, accountability, and transparency in FS AI/ML systems.

SAFR04
Safeguards for Agentic Finance at Runtime (SAFR)

A voluntary industry reference model for real-time safeguards on agentic AI, developed through MAS's BuildFin.ai collaboration (2026). Not a supervisory expectation.

TRM GUIDELINES05
Technology Risk Management (2021)

Technology and cyber risk management principles, applied to AI systems and third-party deployments.

REQUEST ACCESS

The compliance clock is already running.

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.