Historical ticket knowledge graphs
Build Knowledge Graphs from historical ticket data, including ticket systems such as HubSpot Tickets, so past resolutions can inform new support requests.
ChatBees
RevendiquerChatBees is an AI customer support automation product that uses historical tickets and internal knowledge bases to help agents resolve support tickets faster.
Overview
ChatBees is an AI customer support automation product focused on ticket resolution and agent assistance. The homepage describes it as a way to speed up support by building Knowledge Graphs from historical tickets and internal knowledge bases, then using that information to automate parts of the support workflow.
Its stated workflow starts with ingesting ticket history and knowledge sources, then training a private AI that can analyze incoming tickets, surface insights inside the ticket system, and help support agents resolve issues more quickly. The site also says the system can automate and reduce ticket resolution time by up to 52%.
Core capabilities
Private knowledge-base training
Train private AI models on internal sources such as PDFs, DOCs, web help centers, Notion, Confluence, and Google Drive.
Ongoing AI updates
Periodically refresh trained AI so its outputs stay aligned with newer knowledge base content.
Ticket analysis and agent assistance
Automatically analyze and research incoming tickets, then surface actionable insights directly in the ticket system for agents.
Automatic ticket categorization
Use generative models to categorize support tickets automatically.
Connectors and integrations
Support a growing list of knowledge bases and messaging platforms, with connectors and integrations highlighted on the site.
Practical use cases
Resolve repeat support issues faster
Use ChatBees to turn previous support tickets into structured knowledge that can help speed up responses to similar requests.
Assist frontline support agents
Use the product to analyze incoming tickets, categorize them, and give agents actionable information before they respond.
Search across internal knowledge bases
Use internal documentation sources such as help centers, Notion, Confluence, or Google Drive to answer questions that are already documented somewhere in the company.
Reduce common-ticket volume
Use the system to deflect common inquiries and keep human agents focused on tickets that need judgment or investigation.
Surface lead signals from support interactions
Use the ticket insights and categorization workflow to identify potential leads based on sentiment, as described in the homepage FAQ.
Pros and Cons
Pros
- Uses historical tickets as a knowledge source, which can help ground support responses in prior resolutions.
- Supports multiple internal content sources, including PDFs, DOCs, help centers, Notion, Confluence, and Google Drive.
- Surfaces actionable insights inside the ticket system rather than asking agents to leave their workflow.
- Includes automatic ticket categorization and support for common inquiry deflection.
- Describes a private AI approach, which suggests the training data is centered on a customer's own knowledge base.
Cons
- The pricing page is not available in the provided sources, so pricing and plan limits are unclear.
- The site text is high level on integrations and does not provide a complete public list in the provided sources.
- The use-case page for HubSpot was not available, so the HubSpot workflow details are only partially confirmed.
FAQ
How does ChatBees use AI for customer support?
ChatBees says it uses AI to build Knowledge Graphs from historical tickets and knowledge bases, then combines that information into actionable insights inside the ticketing workflow.
Does ChatBees categorize tickets automatically?
The homepage says ChatBees automatically categorizes support tickets using generative models.
What knowledge sources can ChatBees train on?
The site says it trains on internal knowledge bases such as PDFs, DOCs, web help centers, Notion, Confluence, and Google Drive, and periodically updates the AI to keep it current.
What kind of support work is ChatBees meant to help with?
The homepage says ChatBees can deflect common inquiries, provide actionable insights for complex tickets, and help support agents resolve tickets faster.
Is ChatBees' pricing published?
The site does not show pricing details on the pricing page, so the available plan structure, trial, or limits are not confirmed from the provided sources.
Quick Facts
- Category
- AI customer support automation
- Primary use
- Ticket resolution support and support-agent copilot workflows
- Knowledge sources
- Historical tickets, PDFs, DOCs, web help centers, Notion, Confluence, Google Drive
- Ticketing example
- HubSpot Tickets are explicitly mentioned on the homepage
- Pricing
- Not published in the provided sources
- Domain
- chatbees.ai
Alternatives à ChatBees
Hugo
Hugo is an AI-powered support agent for customer service teams. Resolve tickets, automate support work, and provide 24/7 replies with your business data.
Botnoi AI Chatbot
Botnoi AI Chatbot is a web-based AI chatbot and voicebot platform for businesses to automate customer replies across chat and phone, with omnichannel setup, knowledge-base Q&A, and real-time monitoring.
ThriveDesk
ThriveDesk is a helpdesk platform for ecommerce and SaaS teams with email, live chat, knowledge base, and ticketing in one workspace. 7-day free trial, no credit card.
书生
书生 is a general-purpose large model suite for language, multimodal, weather, ocean, industrial design, 3D, finance, and scientific discovery tasks.
Hypertype
Hypertype is an AI agent for industrial support teams, reducing repetitive work, integrating with existing tools, and using selected company data through consultative enterprise onboarding.
Botsplash
Botsplash is an all-in-one customer engagement platform for SMS, chat, voice and scheduling, with AI assistance, CRM integrations and compliance controls.