A repeat question is rarely difficult on its own. The workload comes from answering it again, finding the same link and passing the same details to another person.
An AI agent can help with that routine work. The useful question is where it fits in your business, and how your team stays involved.
Start with the questions you already answer
Bring your website content, files and common questions into the agent's knowledge. Keep information about services, opening hours, policies and next steps current. Good answers start with good source material.
Choose a focused first use case. A clear answer and a useful next step are easier to evaluate than a promise to automate everything.
Connect the next step
When a conversation needs more than an answer, configured Actions can connect the agent to your tools. For a training provider, that might mean looking up available course dates through a connected student management system.
Your team decides which tools and permissions are available. Review the result as well as the reply.
Keep people in the conversation
Use Monitor to follow conversations, guide the agent privately or take over when a person is needed. Team members and escalation groups help organise that involvement.
The goal is to make room for the work that benefits from your people's judgement and experience.
Measure your own result
Start with a baseline: the questions your team handles, the time spent on them and the quality of the outcome. Review those measures after introducing the agent. Actual time savings depend on your workload, knowledge and connected workflows.