AI Agent with Human Handover: From Chatbot to AI to Your Team
An AI agent answers open-ended customer questions from your own knowledge, inside rules you set, and hands the chat to a person when it should. In Conferbot you give the agent a persona, knowledge and guardrails, choose its capabilities, and set escalation by sentiment, confidence, turn count or time - with the full transcript passed to your team.
Intelligent Agent Handover
Let an AI agent answer from your knowledge, inside your rules, and route the conversations that need a person to your team with full context.
Intelligent multi-tier escalation
Escalate on negative sentiment, low confidence, a maximum number of turns or minutes, or a direct request - and tag each escalation with a priority from low to critical.
Full context preserved at every handover
When a conversation escalates, your agent sees the complete transcript, the lead details the AI collected and any uploaded files. Nobody has to repeat themselves.
Guardrails for every agent
Set the topics the AI agent may discuss, the topics it must avoid, actions it must never take, and how long its replies can be.
Why AI Agent Handover Matters
Customers expect instant responses and seamless transitions when their issues require human expertise.
24/7 Coverage
AI agents handle conversations around the clock. Customers get instant responses even outside business hours, weekends, and holidays.
Reduced Agent Workload
Let the AI agent handle repetitive questions so your team focuses on the conversations that need judgement.
Faster Resolution
Customers get an instant answer to common questions instead of waiting in a queue.
Context Retention
Every handover preserves the full conversation history, extracted entities, and customer sentiment - no one asks the customer to repeat themselves.
Guardrails
Allowed and restricted topics, prohibited actions and reply-length limits keep the agent on brand and on policy.
Actions with Approval
Let the agent call your APIs with retry settings, and require a person to approve actions that change data.
How AI Agent Handover Works
Set up intelligent escalation in minutes with zero code.
Chatbot Handles Initial Query
Your chatbot engages the visitor, answers common questions, and collects context using your configured flows.
AI Agent Takes Over Complex Issues
When a question goes beyond the scripted flow, the AI agent answers from your knowledge base using the AI model you choose - with the conversation so far preserved.
Human Agent Steps In When Needed
If an escalation rule fires or the visitor asks for a person, the conversation moves to your team's inbox with the full transcript and collected details.
AI Agent for Every Industry
See how businesses use intelligent escalation to deliver faster, smarter support.
Customer Support
Triage incoming support tickets, resolve common issues automatically, and escalate billing or technical problems to specialized agents
Sales Qualification
Qualify leads through conversational Q&A, score prospects with AI, and route hot leads directly to sales reps with full context
Technical Troubleshooting
Walk users through diagnostic steps, run automated checks, and escalate unresolved technical issues to engineers
Healthcare Triage
Assess patient symptoms, schedule appointments, and escalate urgent cases to medical professionals with symptom summaries
Financial Advisory
Handle account inquiries, provide balance and transaction info, and route investment or loan questions to licensed advisors
Legal Intake
Collect case details, classify legal issues, and schedule consultations with the right attorney based on case type
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AI Agent Handover FAQ
Everything you need to know about AI agent handover and intelligent escalation for chatbots.
What Is an AI Agent for Customer Support?
An AI agent is an AI assistant that holds an open-ended conversation, answers from your own knowledge, takes actions such as collecting a lead or calling an API, and hands the chat to a person when it should. A scripted chatbot follows the paths you drew; an AI agent works out the reply itself, inside the rules you set.
What you configure in a Conferbot AI agent
- Persona: a display name, tone (friendly, professional, casual, formal or empathetic), traits, a greeting, up to four suggested starter questions and a fallback message.
- Knowledge: your knowledge base articles, product information, FAQs and free-form custom knowledge.
- Behaviour rules: topics it may discuss, topics it must avoid, actions it must never take, and the reply format - maximum length, emoji and markdown.
- Capabilities: collecting leads with the fields you choose, scheduling meetings, requesting feedback and escalating to a human.
- Actions: calls to your own APIs, with authentication, retry settings and an approval step when you want a person to confirm first.
The agent can answer with models from 21 AI providers, including OpenAI GPT, Anthropic Claude, Google Gemini and DeepSeek.
AI Agent vs Chatbot: What Is the Difference?
Both answer customers in the same chat window. The difference is how the reply is produced.
| Scripted chatbot flow | AI agent | |
|---|---|---|
| How it replies | Follows the blocks you placed in the flow | Writes each reply from your knowledge and instructions |
| Best at | Structured jobs: forms, bookings, menus, qualification | Open questions phrased in many different ways |
| Control | Exact - every message is yours | Guardrails - allowed and restricted topics, prohibited actions, reply length |
| Takes actions | Integration and webhook blocks | Lead capture, meeting scheduling and configured API actions |
| Hands over to a person | At a handover step you place | By its escalation rules, or when asked |
Most teams use both: a flow for the predictable paths and an AI agent for everything else. Build flows in the visual builder.
How AI Agent Handover Works
Handover in Conferbot moves a conversation from automation to your team without losing anything the visitor already said.
- Flow or AI agent answers first. Routine questions are handled by your chatbot flow or the AI agent.
- An escalation rule fires - or the visitor asks for a person.
- The conversation lands in the shared inbox with its full transcript, and the bot pauses while a person is in the chat.
- Your agent replies on the same channel the visitor is using, then closes the chat or hands it back to the bot.
Agents can also take over a conversation the AI agent is still handling, straight from the live chat inbox.
Escalation Triggers You Can Configure
- Sentiment: escalate when the visitor's messages turn negative, with a threshold and a count of consecutive negative messages so one blunt line does not trigger it.
- Confidence: escalate when the agent's confidence in its answer falls below the threshold you set.
- Turn limit: hand over after a maximum number of turns, so a conversation that is going in circles reaches a person.
- Time limit: hand over after a maximum number of minutes.
- Escalation rules with priority: mark escalations as low, medium, high or critical so urgent ones stand out in the inbox.
- Visitor request: "talk to a human" should always be honoured.
Start with sentiment and a turn limit, read the transcripts of the first week's handovers, and tune from there.
Context Preservation During Handover
The most common complaint about support handovers is having to repeat yourself. Conferbot avoids it by keeping everything in one conversation:
- The agent sees the complete transcript, including what the AI agent said.
- Lead details the agent collected (name, email, phone and your custom fields) travel with the conversation.
- Files the visitor uploaded stay attached.
- The conversation is tracked as a ticket with status, priority and labels.
Keeping the AI Agent on Track
An AI agent is only as good as its instructions and knowledge. These settings do most of the work:
- Restricted topics and prohibited actions: spell out what the agent must not discuss or promise - legal advice, refunds outside policy, competitor comparisons.
- Fallback message: what the agent says when it cannot help, ideally with an offer to connect a person.
- Reply length: short answers read better in a chat window, especially on mobile.
- Approval for actions: require a person to approve API actions that change data until you trust them.
- Knowledge first: when the agent gets something wrong, fix the knowledge base article rather than the prompt.
Measuring AI Agent and Handover Quality
Measure your own baseline rather than chasing generic benchmarks:
- Containment: share of conversations the AI agent finishes without a person.
- Escalation reasons: which trigger fired - sentiment, confidence, turn or time limit, or a direct request.
- Repeat questions after handover: if agents keep asking for details the bot should have collected, add them to the lead fields.
- Satisfaction: ratings after the conversation (the CSAT dashboard is on Pro and Business).
Review these in analytics weekly while you tune the agent.
AI Agent Examples by Use Case
E-commerce support
The agent answers sizing, shipping and returns questions from your knowledge base, looks up an order through an API action, and escalates when the customer is unhappy.
Lead qualification
The agent answers product questions, collects name, email and company size as lead fields, and offers to schedule a meeting.
SaaS onboarding
The agent explains features from your docs and hands technical issues to the support team with the transcript attached.
Local services
The agent covers opening hours, pricing and availability after hours, and leaves anything it cannot answer in the inbox for the morning.
Setup Guide: Deploying an AI Agent with Handover
- Create the agent and set its display name, tone, greeting and starter questions.
- Add knowledge: connect knowledge base articles and add product information and FAQs.
- Set guardrails: allowed and restricted topics, prohibited actions and reply format.
- Choose capabilities: lead fields, meeting scheduling, feedback, and escalation to a human.
- Configure escalation: sentiment, confidence, turn and time limits.
- Invite your team so handed-over conversations have someone to answer them.
- Publish on your website and any connected channel, then review the first conversations and adjust.
See pricing for plan limits.
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