Resources

AI agents with a defined job and human review

Start with a bounded workflow, explicit permissions and a measurable outcome.

Evidence stays attached through the human decision
  1. 1
    Approved sources
  2. 2
    Draft with evidence
  3. 3
    Human decision

Pick one repeatable task

Examples to explore include preparing a draft from approved material, gathering supporting records or explaining a reporting exception. Feasibility depends on the available data, tools and permissions.

Set boundaries

Name the data sources, permitted actions, responsible reviewer and escalation path. Sending messages, changing financial records and publishing externally should follow the approval rules agreed for that workflow.

Evaluate before expanding

Run representative cases, including missing information and contradictory evidence. Measure correctness and time to a reviewed outcome. Preserve source links so a reviewer can verify the draft.

Written and audio content

This resource library supports reviewed written content. AI Studio provides a separate audio experience; link relevant recordings from an article when they support its topic.

Example: prepare an exception brief

  1. Give the agent an approved exception list and read-only access to its supporting records.
  2. Ask for a draft containing the question, linked evidence, uncertainties and proposed next action.
  3. Have the reviewer check every factual statement against the source. Missing evidence must stay visible.
  4. Permit a consequential action only through the workflow's agreed approval step.

Evidence to keep

Test case Expected behaviour
Missing source Identify the missing record; do not invent an explanation
Conflicting records Show both sources and ask for a decision
Action outside scope Stop and request the authorised person's decision