01

Conversation is only the front door

A chatbot can answer a question. An AI employee doing real work must know more. Which source did it use? May it take the next step? What should it record, and when should a person take over?

This matters most when the conversation touches customers, sales, support promises or your internal systems.

02

Set the limits before you automate

Start by separating the safe steps it can take alone from decisions that need approval. Then connect only the knowledge and apps the job needs.

  • Define the questions the employee can answer with confidence.
  • List the actions that need a yes from the user or a person’s approval.
  • Keep transcripts, results and app activity for review.
  • Plan a clear handover with the details a person needs to carry on.
TRY IT WITH YOUR TEAM

Try the job you would give Aivah.

Choose sales, support or onboarding. Each example shows its source brief, so you can judge the answer.

Choose your business demo
03

Good rules make the experience better

Rules aren’t just for the buying team. Clear limits make answers more consistent, handovers cleaner and teams more confident about giving the employee more work.

The best rules show up in the experience itself. There are fewer dead ends and fewer repeated questions. And there is a reliable path to a person when judgement is needed.