Worksheet 01 · Why AI agents
Agents take on the repetitive part of the work
An agent is worth building when the same kind of work arrives again and again, and you handle it the same way each time. It drafts; you check and decide.
Claims · Per claimClaim against checklist
Before: open each claim, tick the documents against the checklist one by one, then write back about what's missing.
With an agent: it checks the claim against the checklist and drafts a list of what's missing. You check and decide.
Underwriting · Per caseForm against guidelines
Before: read the form, look up the guidelines, then write the decision memo from scratch.
With an agent: it compares the form with the guidelines and drafts the decision memo. The underwriter decides.
Customer Service · Per caseComplaint against SOP
Before: read the complaint, look up the SOP, find the deadline, write the first reply.
With an agent: it summarises the complaint, suggests a category and deadline from the SOP, and drafts the first reply. You check and send it yourself.
Compliance · Per incidentIncident against criteria
Before: open each policy and guideline one by one to see which applies.
With an agent: it checks the incident against your criteria and drafts a preliminary assessment labelled for review.
Finance · MonthlyFigures to update email
Before: copy figures from a report, compare with last month, write the email from scratch.
With an agent: it drafts the update email in your usual format and points out the biggest changes. You check the numbers and send it yourself.
Everyone · WeeklyRough notes to update
Before: read your messy notes, decide what goes where, and write the update from scratch.
With an agent: it sorts your notes into Done, Next, Blockers and Help needed and drafts the update. You check and send it yourself.
These are general illustrations, not how PRUBSN works and not measured results. Each team works differently; your own task is what counts.
Quick check
One try: tap your answer. Your answer is counted anonymously, never with your name.
Which task suits an agent best?