AI agents with a defined job and human review
Start with a bounded workflow, explicit permissions and a measurable outcome.
- 1Approved sources
- 2Draft with evidence
- 3Human 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
- Give the agent an approved exception list and read-only access to its supporting records.
- Ask for a draft containing the question, linked evidence, uncertainties and proposed next action.
- Have the reviewer check every factual statement against the source. Missing evidence must stay visible.
- 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 |

