AI Outsourcing

You can outsource the AI service. You cannot outsource accountability.

As organisations accelerate their adoption of Artificial Intelligence, many are turning to external providers for AI platforms, applications, agents and managed services.

This can make AI capabilities easier and faster to deploy.

But it also introduces an important governance question:

Who remains accountable when something goes wrong?

Singapore’s Monetary Authority has recently issued AI Risk Management Guidelines addressing governance, oversight, AI inventories, lifecycle controls and third-party AI dependencies within financial institutions.

Although the guidelines are directed at the financial sector, the underlying governance principles are relevant to organisations adopting AI across virtually any industry.

Using a third-party AI service does not eliminate the organisation’s responsibility to understand and manage the associated risks.

Management should therefore be asking:

• Do we know which AI services and capabilities are being used across the organisation?

• What information can these services access, process or retain?

• How do we assess the risks associated with external AI providers?

• Who monitors the performance, reliability and security of these services?

• What happens when the provider changes its models, functionality or operating conditions?

• Are human oversight, escalation and accountability clearly established?

• Can we transition to another provider or discontinue the service without unacceptable disruption?

These questions become even more important as organisations move from AI applications that merely provide information towards AI agents capable of executing actions and making operational decisions.

Third-party AI can deliver considerable business value.

But supplier agreements, technical capabilities and service-level commitments are not substitutes for internal governance.

You can delegate the service. You can delegate operational activities.

But accountability for the risks remains with the organisation.

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Source: Monetary Authority of Singapore — AI Risk Management Guidelines, 7 October 2026