service: AI governance · provider: Origin Pi Pte. Ltd. · status: available
Govern what you automate.
AI governance is the confirm-step, access control, and audit trail that make an AI agent safe to act for your business. We build it to the IMDA Model AI Governance Framework for Agentic AI, so an agent can act with permission and you can always see, and stop, what it did.
An agent that acts is a liability until it is governed.
An agent that can send a message, change a price, or move a record is doing real things in the world. Without governance, no one can say what it did, why, or on whose authority, and no one can stop it before it acts.
Governance is not a policy document written after the fact. It is the confirm-step, the access boundary, and the audit trail, designed into the system from the schema up, so autonomy and accountability arrive together.
Four parts, built in from the start.
Governance stopped being optional.
Singapore moved first.
The IMDA Model AI Governance Framework for Agentic AI launched 22 January 2026, the world's first governance framework written specifically for agents that act. Being aligned to it is a credible, citable signal.
The EU AI Act is in force.
Obligations are phasing in through 2026 and reach Singapore businesses with EU customers.
Buyers are asking.
Enterprise clients increasingly require vendors to demonstrate AI governance before they sign.
Autonomy without accountability does not ship.
As agents take real actions, the question is no longer can it act, but can you prove how it acts. Governance is the answer.
One register, every framework that applies.
Most businesses face more than one rulebook at once. Rather than a separate project per framework, we design a single governance register that maps the same controls to each obligation, so the work is done once and evidenced many times.
Capability, not certification: we design and document the governance system. The accountability is yours, and the evidence is built to stand up to a client's due diligence or a regulator's question.
Common questions.
What is AI governance for agentic systems?
It is the set of controls that make an AI agent safe to act for a business: an accountability register, owner confirmation before outbound actions, row-level access control, a full audit trail, and an incident runbook. It is designed into the system, not bolted on afterwards.
Do small businesses need AI governance?
Yes, in proportion. A small business running one governed agent still needs to confirm actions, control what the agent can reach, and keep a record. The controls scale down; the principle does not.
What is the IMDA Model AI Governance Framework?
It is Singapore's governance framework for agentic AI, launched 22 January 2026, the first written specifically for AI agents that take actions. We design governance systems aligned to it.
How does human-in-the-loop work in practice?
The agent prepares the action, a quote, a message, a change, and a human confirms before it goes out. For low-risk steps the boundary can be widened; for irreversible ones it stays tight. The owner decides where the line sits.
Is this compliant with PDPA and GDPR?
The approach is designed to align with PDPA and GDPR rules on automated decisions, including access control, audit, and the right to a human in the loop. We document how each control maps to the obligation so the alignment is evidenced, not just asserted.
Related reading.
Governance is what makes an AI agent safe to let act for your business: who approves what, what the agent may touch, and what it leaves on the record. These posts cover the working controls, from approval steps and agent identity to audit logs, incident response and the questions to put to a vendor.
AI Vendor Due Diligence: Questions to Ask Before Buying an Agent
AI vendor due diligence for agents: 9 RFP questions, the evidence to demand and 6 contract clauses, mapped to IMDA's May 2026 framework and MAS proposals.
AI Incident Response Plan: The Triggers and Clocks Cyber Plans Miss
An AI incident response plan needs triggers your cyber plan lacks. Reporting clocks run from 1 hour (MAS, banks) to 15 days (EU AI Act, Art. 73).
AI Agent Identity: Least Privilege and a Kill Path per Agent
AI agent identity in practice: per-agent IDs, least-privilege scopes and a tested kill path, mapped to MCP 2026-07-28, A2A, OWASP 2026 and IMDA guidance.
AI Audit Trail for Agents: The Six Questions Your Log Must Answer
An AI audit trail must answer six investigator questions, not list API calls. What to log per action, and what the EU AI Act and MAS SAFR (July 2026) ask.
Is ISO 42001 Worth It for an SME? Certify, Align or Wait
ISO 42001 is voluntary and gives no EU AI Act presumption: no harmonised AI standard was in the EU Official Journal by August 2026. When SMEs should certify.
How to Prevent Prompt Injection: Contain What the Agent Can Do
OWASP's 2026 list says no reliable fix for prompt injection exists. How to contain what an AI agent can do, with PDPC and IMDA findings from 2026.
Where this fits.
Agentic business layer
The governed business brain that governance sits on top of.
ComplianceAI compliance
Declaration of conformity and framework mapping for EU AI Act, MAS FEAT, and PDPA.
OperationsBusiness automation
Governed agentic workflows for marketing, sales, and operations.
Free toolAI compliance starter pack
Build an AI register, obligations by market and ready-to-paste policies in your browser.
Make your AI governable.
Running agents, or about to? Let us design the governance before the autonomy. Real reply, no funnel.
Talk to us