Answering a question once is helpful. Answering the same question every week is a quiet tax on your business. Here is a little math on what it adds up to, and what to do about it.
Run the numbers
Take an illustrative example. Say one experienced person on your team fields 10 repeat questions a day, and each one takes about 5 minutes to answer.
- 10 questions × 5 minutes = 50 minutes a day
- That is more than 4 hours a week
- Over a working year, it adds up to roughly 200 hours
That is five full working weeks, from one person, spent answering questions that have already been answered. Multiply it across a team and the number gets uncomfortable quickly.
The costs that do not show up in the math
The hours are only part of the picture. Repeat questions carry costs that no timesheet captures:
- Context switching: every interruption breaks focus, and getting back into deep work takes longer than the question itself.
- Questions never asked: some people do not want to interrupt, so they guess instead.
- Decisions made without context: when the answer is hard to get, people move ahead without it.
Which questions to hand off first
Not every question should be handed to AI. Start with the ones that are:
- Frequent: asked every week, by different people.
- Well documented: the answer already exists somewhere in your documents.
- Low risk: a wrong answer is easy to spot and fix.
Process questions, policy lookups, and "where do I find" questions are usually good places to start.
Where AI fits
An AI agent grounded in your own knowledge can answer those everyday questions consistently, at any hour, without pulling your experts away from their work. People get answers faster, and your most experienced team members get their time back for the questions that genuinely need them.
Create your first AI agent walks through how to build one for the questions your team asks most.