AI Agent for Chatbot

"Find all open tickets in Chatbot from the last 4 hours, check our knowledge base for the answer, draft a helpful reply for each, and save them as drafts in Chatbot. Post a summary of resolved issues to Slack."

"Take the last 5 long chat threads, summarise the customer's main issue and the current status, and add these notes to the corresponding ticket in our helpdesk."

"Scan today's chats for angry or urgent language, identify the customer's account level, and alert the success team in Slack if they are on a premium plan."

"Identify 5 recurring questions from today's conversations that aren't in our FAQ, draft clear answers for them, and add them to our Google Sheet FAQ tracker."

"Find all conversations marked as resolved but missing a category tag, analyse the content to determine the correct category, and apply the tag in Chatbot."

"Identify users who expressed interest in our new product during chats, extract their email and company name, and add them to our 'Product Launch' list in Mailchimp."

"Review all chats from the last week, categorise them by sentiment, and create a report in Google Sheets showing what customers are most excited about."

"Find chats where customers praised our service, extract the specific quote and the customer's name, and add them to our 'Testimonials' sheet."

"Search chats for questions about our pricing or features that our website doesn't clearly explain, and list these as content ideas in our Trello board."

"Look at chats from the last 3 days, determine the user's industry from their company name, and update their profile in our CRM with the correct industry tag."

"Find all users who asked about pricing in chat, check if they have a company email, and if so, create a new deal in HubSpot with the chat transcript attached."

"Identify users who asked for a demo in chat, check my calendar for availability, and send a booking link via email to the user."

"When a new lead comes in, search LinkedIn for their company size and role, and post a summary to my Slack channel before I join the conversation."

"Find leads who stopped responding yesterday, draft a polite follow-up email in Gmail, and send it to them."

"Review chats with existing CRM contacts, extract key pain points mentioned, and update the 'Notes' field in HubSpot."

"Scan our CRM for contacts created from chat that share the same email address, merge the duplicates, and keep the most recent activity data."

"Calculate the average response time for chats yesterday and post a report to our #ops-metrics Slack channel."

"Review the chat logs for any system error messages or users who were disconnected before an agent could reply, and create a task in Jira for the dev team."

"Export new user details captured in chat and update our central SQL database with the latest location and device info."

"Select 10 random chats from the last week, score them based on our quality guidelines, and save the scorecard in our Google Drive folder."