Enables evaluation of all chat histories. In the detail view, questions, formulations and user reactions can be traced to identify optimization potential.

Notifies agents immediately of new chats for quick response.

moinAI can collect all data anonymously. If personal information is required, consent is obtained from the users.

The help center provides 24/7 access to answers to frequently asked questions - for quick help even outside support hours.

The output time of individual messages can be controlled specifically to improve reading flow and promote user engagement.

The underlying language model continuously improves through independent learning. Additionally, it can be manually trained and optimized - for example with the AI training tool in the hub.

The analysis area shows the most important metrics at a glance. Contains data on topic distribution, automation rate and conversion development over freely selectable time periods.

Analyzes stored sources in the knowledge base to ensure that answers are based on solid information.

Depending on the channel - e.g. website or app - language, approach and tonality can be individually adapted.

Ready-to-use templates are available for many industries—as a quick start guide or inspiration for your own implementation.

Texts can be customized so that the chatbot matches your brand identity both linguistically and visually. You have full editorial control over all chatbot content.

Enables viewing of completed live chats for follow-up, quality assurance or training.

Conversations can be handed over to human colleagues at any time - via live chat (e.g. Zendesk, Userlike) or alternatively by email. The handover takes place automatically and seamlessly in the ongoing dialogue.

Regular webinars present and explain new features - directly from the product or customer success team.

Users can send files such as PDFs, images or videos directly in the chat to specify concerns or provide additional information.

Unclear or vague requests are classified through targeted follow-up questions. The AI learns continuously - without manual intervention or additional training.

Competitors can be specifically excluded so that they are neither mentioned nor recommended by the chatbot.

Facilitate targeted analysis of large amounts of data. Conversations can be filtered and structured according to topics, ratings or misunderstood requests, for example.

Enables independent selection of the underlying large language model. Depending on the use case, state-of-the-art models from the GPT family or open-weight models can be used. Models can be configured for each bot or project to optimally balance cost, performance, and compliance.

Users can click a button to reset the conversation with the chatbot and start again directly within the widget.

Supervisors can actively assign chats to individual agents and thus steer the team in a targeted manner.

The chatbot can access current information from stored websites and incorporate it into its responses.

Parallel conversations are color-coded, enabling better overview in everyday work.

At the end of a conversation, user satisfaction can optionally be requested. The results can be viewed and evaluated in the analysis area.

Content that should not be openly displayed can be marked as private and remains available exclusively for internal response processes.

moinAI can be used across channels. Channels can be, for example, the German-language website and an app. Subdomains are also understood as separate channels if desired.

Answers can be output in simple language if required - for better comprehensibility and greater accessibility.

Forms can be individually configured and integrated into the chatbot flow. Captured data can be forwarded to internal systems like HubSpot or used for handovers to live chat. This facilitates data collection and lead generation.

Limits the number of simultaneous chats per agent to avoid overload and ensure quality.

Automatically translates incoming and outgoing messages for global support in 98 languages.

Enables the upload of multiple files directly in the chat for better processing.

Enables the visual design of an individual chatbot avatar. Colors, shapes and logos can be customized to align the design with brand identity.

Closes the live chat and automatically hands the conversation back to the chatbot.

The integrated OAuth interface enables direct connection to common CRM systems like HubSpot. Form contents are automatically assigned to the respective contact records and are centrally available to sales and service.

The emails sent when users fill in bot forms can easily be created using automatic templates.

To pre-qualify leads, the chatbot can automatically ask questions and forward potential customers to the sales team in a targeted manner.

An AI assistant within the hub that automatically generates response suggestions for the chatbot. Supports content creation and reduces editorial effort.

Set the days of the week, times and periods during which certain teasers are activated.

Access rights to the moinAI Hub can be controlled individually for each team or user. Access to sensitive data is logged and can be traced at any time.

Each company is supported by a dedicated contact person in the customer success team - for continuous support and individual assistance.

By adjusting the context size, the chatbot’s performance can be optimized: respond faster with a limited context or provide more thorough answers with a larger context.

Enables the connection of various formats - including PDFs, DOCs, links and question-answer pairs - as knowledge sources for the knowledge base.

AI agents incorporate the current time into their responses, ensuring context-relevant communication, e.g. through adapted greetings or time-dependent information.

The technical documentation provides comprehensive information on integrating moinAI and facilitates the work of developers.

The chatbot's greeting teaser can be adapted according to the page to address users in a context-specific way.

The AI recognizes based on conversations which topics might be additionally relevant. New topic suggestions are created automatically and gradually expand the knowledge scope of the chatbot.

The moin widget offers maximum compatibility and is optimally displayed in every browser and on every device.

Access to the hub can be additionally secured by two-factor authentication - for increased protection against unauthorized access.

Colors, position and other design elements of the chat widget can be flexibly adapted to the existing corporate design.

Provides a REST API to keep connected resources automatically synchronized.

When no live agent is available, the chatbot takes over the conversation.

For websites integrated as sources, you can specify the interval (7/14/30 days) in which changes should be searched for.

In the Knowledge Base, entire websites, including their subpages, can be added with a single click.

Chats can be tagged to facilitate evaluation and categorization.

Manually maintained content that can be played out independently of generated answers. They ensure maximum content control and avoid inappropriate AI responses.

Context variables capture relevant information from the conversation and forward it to external systems via webhooks - in the desired format and to the right place.

Shows agents their bot assignments and thus supports work in multi-bot setups.

Der Zugriff auf moinAI lässt sich gezielt auf bestimmte IP-Adressen oder Domains beschränken. Die Idee hinter einer Allowlist ist simpel: Alles, was nicht auf der Allowlist steht, ist auch nicht erlaubt – erhält also keinen Zugriff.

The chat widget offers a JavaScript API for integration into existing web applications. Messages can be pre-transmitted or the widget can be opened specifically. Further details can be found in the technical documentation.

In addition to text elements, images, GIFs, card carousels or videos can be integrated to make the user experience more interactive.

Standardized responses can be quickly inserted and edited via shortcuts and templates.

The moinAI community provides access to product updates, tips and best practices curated by the moinAI team. Exchange among users is also possible.

Show in real time which topics are requested how often. The data is constantly updated and enables early detection of trends or recurring concerns.

Responses from AI agents can be displayed in complex formats such as tables or code blocks.

Different agents can be equipped with different roles and personas - e.g. as a friendly, advisory sales agent or a factual, reserved customer service agent.

Enables the structuring of responsibilities through assignment of roles and groups.

Live chat agents can see whether customers are online in the chat.

In the hub playground, direct feedback can be given on responses from an AI agent – this feedback is then taken into account in the next response.

Various tools can be used with moinAI to automate processes with the chatbot. For inspiration, we collect useful AI workflows on our site.

The moinAI widget meets the requirements of the WCAG 2.1 guidelines.

At the end of a form, information from the chat can be sent to HubSpot – creating a new ticket or updating existing contacts.

Shows the current availability status of agents for targeted routing and efficient handovers.

Content, design and functions of the teaser can be freely configured, including text, buttons, avatar and colors - matching the intended use and CI. The teaser clarifies the availability of the chatbot and facilitates entry into a conversation.

The moinAI widget meets the requirements of the Accessibility Enhancement Act (BFSG) and thus supports barrier-free digital service operations.

Chatbot changes can be tested before publication in the integrated preview tool - without affecting live operations.

With webhooks, external systems can be connected and real-time data processed directly from the chatbot. Information can be sent, retrieved or further processed - e.g. for validation or to start external processes.

The AI generates a summary for each conversation, including sentiment analysis, topic tags, and key content. It also allows you to instantly see whether an issue has been resolved or not.

With the response template editor in the Knowledge Base, you can create custom templates such as info cards or interactive buttons, which are dynamically populated with content in GenAI responses.

moinAI can be implemented and used productively within a few weeks.

The follow-up question logic analyzes the context in advance to avoid unnecessary follow-up questions and improve user guidance.

Combines RAG technology with generative AI and uses verified content for precise, context-related answers.

The moinAI MCP server connects external LLMs, such as Claude, with the moinAI Knowledge Base. This allows content in the Knowledge Base to be managed via external AI platforms: knowledge can be searched, created, retrieved, updated, and deleted.

Individual onboarding supports a successful project start. This accelerates implementation and enables rapid benefit.

When a query is made via the chatbot, certain sources are updated in real time and the latest version is accessed.

Chat histories are permanently available for analysis and quality assurance.

Central overview of all relevant performance indicators. Shows conversation volume, automation level, CSAT scores and conversion rates in real time. The best basis for data-driven optimizations.

Enables the setup and customization of the chatbot without programming knowledge. Content, forms and processes can be configured intuitively via drag & drop or visual editors.

Topics and answers can be easily created, edited and managed in the editor - individually or together as a team.

Standardized text modules can be triggered via shortcuts directly in the input field.

PDFs can be fully captured automatically during import using OCR (Mistral Document AI). Content from images, tables and scanned pages is also included.

In the Playground, AI-generated responses can be regenerated using your own instructions, allowing you to test different scenarios.

Your chatbot's responses are automatically translated into the user's language, enabling direct and clear communication.

Enables individual configuration of privacy-relevant requirements - e.g. for notices, consents and storage rules.

Enable company-compliant communication by storing specific compliance guidelines that the chatbot follows when generating responses.

The switch to moinAI succeeds without interruption: existing content, processes and data can be transferred seamlessly.

AI Agents can search CSV resources for specific numbers and solve complex table queries.

An overview of all changes to content and channels is available prior to publication.

System messages at the beginning of the Live Chat, during handover to another agent, and at the end of the chat can be individually customized.

moinAI understands and processes 98 languages including numerous dialects. This makes the chatbot flexible for international use.

The expert team continuously analyzes chatbot performance and provides targeted recommendations for further optimization.