Prepared with AI assistance from the linked primary sources. Company and government claims are attributed to their issuers. How we use AI.

An AI pilot can justify further work without justifying an unrestricted rollout. Expansion changes the number of users, the information exposed and the consequences of a mistake. Leaders need a decision record that explains why the next stage is appropriate. The following questions form an editorial framework for that review, informed by primary governance and product documentation.

What exactly is being expanded?

Define the task and permitted action. A tool that drafts a reply is different from one that sends it, changes an account or initiates a payment. Singapore’s January 2026 agentic AI guidance recommends bounding use cases and agents’ access to tools and data. It also calls for meaningful human approval at significant checkpoints. IMDA’s framework.

Write the boundary so that the business owner can recognise a breach. “Improve customer service” is an objective; “prepare a response for an officer to approve” is a testable operating instruction. Decide what must remain outside the system before adding more users.

Does the evidence represent the next setting?

Ask which languages, document types and exceptions were tested. Did the pilot include the people who will actually use the system? Were incorrect outputs and the time spent correcting them counted? An encouraging demonstration cannot establish performance on material it never encountered.

Singapore’s government and Google AI Agents Sandbox reported both useful task performance and concerns including prompt injection, oversight and data protection. Its May 2026 account is evidence from an experimental setting, not a general certification of agent reliability. The sandbox findings.

Who controls the information?

Document where data enters, who may retrieve it and where results and logs are stored. AWS’s Bedrock documentation explicitly leaves customers responsible for content and security configuration within a shared-responsibility arrangement. A managed model service does not remove the customer’s configuration obligations. AWS’s documentation.

The review should include access inherited from connected systems. A useful answer must also be an authorised answer. Test whether a user can obtain information through the assistant that they would not be entitled to read directly.

Who owns a problem after launch?

Name the person responsible for pausing the service, investigating a complaint and approving a change. NIST describes its AI Risk Management Framework as voluntary guidance spanning design, development, use and evaluation. That lifecycle perspective is useful even though it is not a substitute for applicable local requirements. NIST’s framework overview.

Ownership needs resources: someone must maintain the knowledge base, inspect failures and decide when a model or workflow needs re-evaluation. An escalation address without a working response process is incomplete.

What result would justify continuing?

Agree on completed-work measures, quality thresholds and full operating costs before expanding. Include integration, review, support and fallback work rather than model charges alone. Set a date to compare results with the prior process and decide whether to continue, revise or stop. The key takeaway is that expansion is an operating decision supported by evidence, not an automatic reward for finishing a pilot.

Sources

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