AI Teams urged to define workflow assets before adding more agents

Guidance for organizations adopting AI agents emphasizes that work must be clearly defined before expanding AI usage. Teams should inventory recurring tasks, create reusable assets that specify inputs, expected outputs, success criteria, and points where AI must seek human judgment. By documenting the purpose of each task and the decision‑making boundaries, AI can be integrated into product lifecycles more reliably.

In parallel, developers using AI‑generated code are advised to shift from line‑by‑line review to a manager‑style accountability model. Human oversight should focus on four accountability areas: specification, design, risk, and verification. Critical high‑risk components such as security, licensing, billing, data deletion, public APIs, and cryptographic handling must still receive direct human inspection. The recommended lightweight rule set includes keeping changes small, treating AI review as advisory, and mandating human approval for security‑sensitive changes. Together, these practices aim to maintain quality and safety while leveraging AI speed.