OpenDialog - Detailed Review
Analytics Tools
OpenDialog - Product Overview
Introduction to OpenDialog AI
OpenDialog AI is a sophisticated conversational AI platform that revolutionizes how businesses interact with their customers. Here’s a brief overview of its primary function, target audience, and key features.Primary Function
OpenDialog AI’s primary function is to enable businesses to create personalized and engaging AI chatbots and digital assistants. This is achieved through advanced natural language processing (NLP) and machine learning algorithms that allow the platform to understand and respond to user queries in real-time. The platform automates repetitive tasks, provides instant customer support, and gathers valuable insights from customer interactions.Target Audience
The target audience for OpenDialog AI includes a diverse range of businesses across various industries. This encompasses medium to large enterprises, small and medium-sized businesses (SMBs), marketing agencies, e-commerce companies, healthcare providers, and financial institutions. These businesses are looking to automate customer interactions, improve customer service, and drive sales through conversational AI technology.Key Features
Natural Language Understanding (NLU)
OpenDialog AI’s NLU engine interprets user input using techniques like named entity recognition, sentiment analysis, and intent classification to accurately process user queries.Dialog Management
The platform’s dialog management system handles multi-turn dialogues, remembers past interactions, and dynamically adjusts responses based on the conversation flow.Machine Learning Models
OpenDialog AI uses machine learning models trained on large datasets to continuously improve language understanding, response generation, and user engagement.Personalization and Customization
Businesses can create personalized AI chatbots that reflect their brand identity and voice. The platform is highly customizable and can be integrated with existing systems such as CRM software and e-commerce platforms.Modular Architecture
OpenDialog AI’s modular architecture allows businesses to easily add new features and functionalities to their AI chatbots, enabling them to adapt quickly to changing customer needs and market trends.Integration and Scalability
The platform seamlessly integrates with existing systems and is designed to scale with the growing needs of businesses. This ensures that businesses can expand their chatbot capabilities as their customer base and requirements evolve.No-Code Interface
OpenDialog AI offers a no-code AI Agent Management System, making it easy for non-technical users to design, maintain, and scale enterprise-grade conversational AI agents quickly and safely.Regulatory Compliance
The platform is particularly suited for regulated industries such as healthcare and insurance, ensuring compliance with industry standards while providing fine-grained control over AI usage. By leveraging these features, OpenDialog AI helps businesses enhance customer engagement, improve operational efficiency, and drive business growth through effective and personalized conversational AI solutions. OpenDialog - User Interface and Experience
User Interface Overview
The user interface of OpenDialog is crafted to be user-friendly and intuitive, particularly for those who may not have a technical background.Workspace and Layout
When you log into OpenDialog, you are presented with the Workspace Dashboard, which serves as the central hub for accessing all the main functionalities of the platform. The interface is organized into clear sections: a main menu on the left-hand side for navigation, a central panel that displays the main functionality of the feature you are using, and sometimes a third panel on the right-hand side for additional functionality or guidance.Ease of Use
OpenDialog is praised for its ease of use. The platform features a beautiful no-code interface that makes it simple for non-technical users to design, manage, and integrate conversational AI agents. Users appreciate the clear and concise tutorials that help them get started quickly, as well as the easy access to tools and environments that support their learning.User Experience
The overall user experience is highly positive. Users highlight the simplicity of interaction with the platform, which manages to provide great flexibility despite its ease of use. The interface allows users to design conversation flows effortlessly, with features like contextual messages and free-flow conversations that can be guided or dynamic as needed.Analytics Tools
OpenDialog includes robust analytics tools that allow users to track the performance of their conversational AI applications. These tools provide valuable insights, enabling users to make data-driven decisions and improve the efficiency and quality of their AI-driven interactions.Customization and Flexibility
The platform supports a modular and semantic approach to conversation design, allowing users to create free-flow conversations that are context-rich and reusable. This flexibility is particularly useful for handling different scenarios, such as lead conversion, where the conversational flow can be adjusted based on the user’s position in their purchasing journey.Feedback and Support
Users have reported positive feedback regarding the support and resources provided by OpenDialog. The platform offers clear tutorials, easy access to tools, and a user-friendly interface that helps users overcome any initial challenges, making it an efficient and effective tool for improving user experience through natural language interactions. OpenDialog - Key Features and Functionality
OpenDialog AI Overview
OpenDialog AI is a sophisticated conversational AI platform that offers a range of powerful features and functionalities, particularly in the analytics and AI-driven categories. Here are the main features and how they work:
Natural Language Understanding (NLU)
OpenDialog AI’s NLU engine is trained to interpret user input in natural language. It uses techniques such as named entity recognition, sentiment analysis, and intent classification to accurately process user queries. This allows the chatbot to comprehend the context and meaning behind user interactions, providing more accurate and relevant responses.
Dialog Management
The platform’s dialog management system enables chatbots to engage in natural, context-aware conversations. It can handle multi-turn dialogues, remember past interactions, and dynamically adjust responses based on the conversation flow. This ensures that the chatbot can maintain a coherent and engaging conversation with users.
Machine Learning Models
OpenDialog AI leverages machine learning models to continuously improve the performance of its chatbots. These models are trained on large datasets of conversational data to enhance language understanding, response generation, and user engagement. This continuous learning process ensures that the chatbots become more effective and personalized over time.
Integration Capabilities
The platform is designed to seamlessly integrate with various enterprise systems and third-party applications, such as CRM software, e-commerce platforms, and customer service tools. This integration allows businesses to leverage their existing data and services within the chatbot environment, enhancing the overall user experience and streamlining business processes.
Customization and Personalization
OpenDialog AI enables businesses to create personalized chatbot experiences. Through advanced customization options, companies can tailor the chatbot’s responses, branding, and functionality to meet their specific needs and objectives. This personalization helps in creating a more engaging and relevant experience for customers.
Multi-Turn Conversations
The platform supports multi-turn conversations, allowing the chatbot to engage in extended dialogues with users. This feature ensures that the chatbot can handle complex queries and provide comprehensive support without losing context.
User Intent Recognition and Entity Extraction
OpenDialog AI includes features for user intent recognition and entity extraction. These capabilities help the chatbot to identify the user’s intent behind their queries and extract relevant information, making the interactions more efficient and accurate.
Sentiment Analysis
The platform performs sentiment analysis to gauge the emotional tone of user interactions. This helps businesses to understand customer sentiment and respond appropriately, improving customer satisfaction and engagement.
Multi-Language Support
OpenDialog AI supports multiple languages, allowing businesses to cater to a diverse customer base. This feature is particularly useful for global companies or those serving multilingual markets.
Analytics and Reporting
The platform provides advanced analytics and reporting capabilities. It keeps track of every interaction and decision point, offering rich analytics and a clearly auditable trace. This helps businesses to monitor performance, identify areas for improvement, and make data-driven decisions.
Omnichannel Support
OpenDialog AI supports interactions across multiple channels, including web, mobile, and voice. This omnichannel support ensures that customers can engage with the chatbot through their preferred medium, enhancing user convenience and accessibility.
Voice Integration
The platform includes voice integration capabilities, allowing businesses to deploy voice-enabled chatbots. This feature is useful for providing hands-free interactions and enhancing user experience in various scenarios.
Rich Media Support
OpenDialog AI supports the use of rich media such as chat, form widgets, payments, file uploads, maps, and calendars. This feature enriches the conversation experience by allowing the inclusion of various media types to facilitate more interactive and informative interactions.
User Authentication and Role-Based Access Control
The platform offers user authentication and role-based access control, ensuring that only authorized personnel can access and manage the chatbot configurations. This enhances security and ensures that sensitive data is protected.
Scalability and Real-Time Monitoring
OpenDialog AI is designed to scale with business needs, from handling a few dozen conversations a day to hundreds of thousands. It also provides real-time monitoring capabilities, allowing businesses to track performance and make immediate adjustments as necessary.
A/B Testing
The platform supports A/B testing, enabling businesses to test different chatbot configurations and responses to see which ones perform better. This helps in optimizing the chatbot’s performance and improving user engagement.
No-Code Interface
OpenDialog AI features a no-code interface that makes it easy for non-technical users to design, maintain, and scale enterprise-grade conversational AI agents. This interface supports sophisticated solutions while being easy to use, making it accessible to a broader range of users.
Conclusion
By combining these features, OpenDialog AI provides a comprehensive solution for businesses to build and manage advanced AI chatbots and digital assistants, enhancing customer engagement, streamlining operations, and driving business growth.
OpenDialog - Performance and Accuracy
Performance
OpenDialog’s performance is heavily supported by its advanced analytics dashboard. This tool allows developers to track and analyze various metrics such as conversation flow, user interactions, and error rates in real-time. This comprehensive overview enables businesses to identify areas for improvement, optimize user experiences, and ensure the smooth functioning of their applications. The platform leverages state-of-the-art natural language processing (NLP) and machine learning algorithms to improve the performance of its chatbots. The NLP engine is trained to interpret user input through techniques like named entity recognition, sentiment analysis, and intent classification. This ensures accurate processing of user queries and enhances the overall engagement with the chatbot.Accuracy
The accuracy of OpenDialog’s AI agents is enhanced through several features:Natural Language Understanding (NLU)
The NLU engine accurately interprets and responds to user queries, ensuring meaningful and engaging conversations.Dialog Management
The platform’s dialog management system handles multi-turn dialogues, remembers past interactions, and dynamically adjusts responses based on the conversation flow. This ensures context-aware and accurate responses.Machine Learning Models
OpenDialog continuously improves its chatbots using machine learning models trained on large datasets of conversational data. This enhances language understanding, response generation, and user engagement.Limitations and Areas for Improvement
While OpenDialog offers a robust set of features, there are some areas where it could be improved:Enhanced NLU Capabilities
One of the primary areas of focus for OpenDialog AI is to improve its natural language understanding capabilities further. This includes enhancing the platform’s ability to accurately interpret and respond to user queries, leading to more meaningful and engaging conversations.Advanced Machine Learning Algorithms
OpenDialog is investing in advanced machine learning algorithms to further enhance the performance of its chatbots. However, the continuous development and integration of these algorithms can be a challenging and ongoing process.Additional Considerations
Error Rates and User Feedback
The analytics dashboard helps in tracking error rates, which is crucial for identifying and fixing issues promptly. However, the effectiveness of this depends on the quality and quantity of user feedback and the ability to act on it quickly.Data Protection and Privacy
OpenDialog has robust privacy safeguards, including tight encryption, secure data storage, and access controls. Ensuring these measures remain effective is essential for maintaining user trust and compliance with data protection regulations. In summary, OpenDialog’s performance and accuracy are supported by its advanced analytics tools, NLP capabilities, and machine learning models. While it has several strengths, ongoing improvements in NLU and machine learning algorithms are key areas for further development. OpenDialog - Pricing and Plans
OpenDialog offers a varied and flexible pricing structure to cater to different needs and scales of operation. Here’s a breakdown of their plans and features:
Annual Platform Fee and Conversation Licence Tiers
For larger-scale deployments, OpenDialog charges an Annual Platform Fee, which starts at £12,000 per annum plus VAT. This fee is paid upfront. Here are the Conversation Licence Tiers:- Enterprise Standard: 7,000 conversations per month, £60,000 per year.
- Enterprise Large: 20,000 conversations per month, £120,000 per year.
- Enterprise Plus: 60,000 conversations per month, £300,000 per year.
- Enterprise Large : 60,001 conversations per month, priced on request (POA).
Support Options
In addition to the licence fees, OpenDialog offers various support services:- Complete Support – 24/7/365 P1: 20% uplift on the annual licence fee.
- Extended Support – Standard with Extended hours 8am-7pm for P1 coverage: 10% uplift on the annual licence fees.
- Standard Support – 9-5 pm for all P1-P3: Included in licence fees.
Flexible Pricing Plans
OpenDialog also offers more flexible plans that scale with your needs:Experiment Plan
- 1 Workspace
- Unlimited editors
- 1 test AI agent
- Unlimited test steps
- 100 Mb of knowledge data
- 1 Million LLM tokens
- 20 Mb analytics data
- Email support
- No billing if you stay on this plan.
Build Plan
- 1 Workspace
- Unlimited editors
- 1 active AI agent
- 50,000 active steps/month
- 100 Mb of knowledge data
- Unlimited LLM tokens
- 200 Mb analytics data
- Email support
- Billing is monthly once you upgrade to this plan.
Scale Plan
- 2 Workspaces
- Unlimited editors
- Up to 5 active AI agents
- 375,000 active steps/month
- 2 Gb of knowledge data
- Unlimited LLM tokens
- 2 Gb analytics data
- Email support
- Billing is monthly.
Dedicated Plan
- Unlimited workspaces
- Unlimited editors
- Unlimited active AI agents
- Billing by active step
- 1 Tb of knowledge data
- Single Sign-on
- 24/7 platform support
- Uptime guarantees
- Dedicated account manager
Additional Options
- Digital Concierge: Starts from £15,000 VAT for a 6-month pilot.
- Bespoke Professional Services: Available at £1,250 per day VAT for project-specific needs.
Free Options
There is no free trial available, but you can use the platform for free to prototype, with a pay-as-you-deploy model at approximately £0.02 per conversation. Each plan is designed to accommodate different scales of operation, from small experiments to large enterprise deployments, ensuring that users can choose the plan that best fits their needs. OpenDialog - Integration and Compatibility
Integration Capabilities
OpenDialog AI is built to seamlessly integrate with a wide range of enterprise systems and third-party applications. Here are some key integration features:Enterprise Systems
The platform can integrate with CRM software, e-commerce platforms, and customer service tools, allowing businesses to leverage their existing data and services within the chatbot environment. This integration enhances the functionality of the AI chatbots and streamlines business processes.API Access
OpenDialog AI offers APIs for creating custom integrations, enabling businesses to connect the platform with their specific systems and tools. This flexibility is crucial for adapting to different business processes and requirements.Modular Architecture
The modular architecture of OpenDialog AI allows businesses to easily add new features and functionalities to their AI chatbots. This includes integrating third-party services, adding new languages, or implementing new conversational flows, all of which can be done without significant disruptions.Compatibility Across Platforms and Devices
OpenDialog AI is compatible with various platforms and devices, ensuring a unified user experience:Web and Desktop
The platform can be accessed through web-based interfaces as well as desktop applications. For instance, users can run OpenDialog AI in distraction-free windows using WebCatalog Desktop for Mac and Windows.Multi-System Integration
OpenDialog AI supports integration with different types of systems, including healthcare and insurance systems, which is particularly beneficial for regulated industries. This ensures that the platform can comply with industry-specific standards and regulations.Development Environment
The setup and configuration of OpenDialog AI can be managed using tools like Lando, which is a wrapper around Docker services, and Laravel Nova for administrative interfaces. This makes it easier to manage conversations, intents, and messages in a local development environment.Customization and Adaptability
The platform’s high degree of customization and adaptability further enhances its compatibility:Visual Conversation Builder
OpenDialog AI provides a visual conversation builder, an intuitive interface that allows both technical and non-technical users to design dialogue flows. This tool makes it easier to create and manage complex conversational flows that adapt to user interactions.Machine Learning Models
The platform leverages machine learning models that can be trained and fine-tuned for specific applications, ensuring that the AI chatbots can adapt to the unique needs of each business. Overall, OpenDialog AI’s integration capabilities, compatibility across different platforms, and high customizability make it a highly adaptable and effective solution for businesses looking to implement advanced conversational AI. OpenDialog - Customer Support and Resources
Support Options
Email and Online Ticketing Support
Users can submit support tickets, which can be managed in terms of status and priority. This support is available at an extra cost.
Phone Support
Available from 9 to 5 (UK time), Monday to Friday. Additional onsite support is also available, but at an extra cost.
Priority-Based Response Times
- Priority 1: Response within one hour, with resolution aimed within 12 service hours.
- Priority 2: Response within three hours, with resolution by the end of the following three business days.
- Priority 3: Response within one business day, with bug fixes scheduled for the next available release.
- Priority 4: Issues are considered based on other customer requirements and feedback is provided accordingly.
Additional Resources
OpenDialog Docs
A detailed documentation section that includes guides on how to use the platform, monitor applications, and troubleshoot issues. This includes the Analyse dashboard, which provides insights into user interactions, conversation logs, and performance metrics.
Community Slack
Users can join the OpenDialog community on Slack to interact with other users, ask questions, and share experiences.
Contact Form
Users can submit queries or requests for support through a contact form on the OpenDialog website.
Onboarding and Offboarding Support
Professional services are available for onboarding and offboarding, including out-of-the-box configurations, online training, and documentation.
Analytics & Insights
The Analyse dashboard allows users to track performance, user engagement, and optimize their conversational agents over time. This includes visualizing interaction logs, message logs, and project usage trends.
Tutorials and Guides
OpenDialog offers tutorials and guides to help users get started and refine their AI agents, including pre-built templates and expert assistance.
Specialized Support
Customer Success Manager/Account Manager
Each client has access to a customer success manager or account manager to support their specific needs and ensure effective service delivery.
EU-Based Service Desk
Available 24/7/365, this service desk follows ITIL-aligned practices to provide continuous support.
By leveraging these support options and resources, users of OpenDialog AI can ensure they are well-equipped to manage and optimize their conversational AI applications effectively.
OpenDialog - Pros and Cons
Advantages of OpenDialog AI
OpenDialog AI offers several significant advantages that make it a compelling choice in the AI-driven product category for conversational AI management:Control and Customization
OpenDialog AI provides complete control over your AI agents, allowing you to decide which user inputs are responded to by Large Language Models (LLMs), which are routed to integrated systems or knowledge bases, and what triggers a response. This level of control ensures that the interactions are contextually relevant and accurate.Advanced Natural Language Processing
The platform utilizes state-of-the-art natural language processing (NLP) and machine learning algorithms to understand and respond to user queries in real-time. Features like semantic classification, intent interpretation, and entity extraction enable the platform to accurately process user inputs.Integration Capabilities
OpenDialog AI seamlessly integrates with various enterprise systems and third-party applications, such as CRM software and e-commerce platforms. This integration enhances the functionality of AI chatbots and streamlines business processes.Multi-Language Support and Omnichannel Capabilities
The platform supports multiple languages, making it suitable for a global audience. Additionally, it offers omnichannel support, allowing businesses to engage with customers across different platforms.Security and Data Protection
OpenDialog AI includes robust privacy safeguards, such as tight encryption, secure data storage, and access controls, to protect sensitive customer data.Analytics and Reporting
The platform provides hyper-detailed analytics, enabling businesses to track user interactions, identify trends, and make informed decisions. Features like live preview, testing, and launch capabilities help in customizing and optimizing the agents in real-time.Customizable Workflows and Visual Conversation Mapping
OpenDialog AI allows businesses to build complex, non-linear conversations using a no-code visual builder. The visual conversation mapping feature helps in exploring considered paths, diagnosing improvements, and enhancing the agent’s performance.Disadvantages of OpenDialog AI
While OpenDialog AI offers numerous benefits, there are some potential drawbacks to consider:Customization Limitations
Some users have noted that OpenDialog AI may have limitations in fully replicating the specific needs and workflows of a particular business. This could mean that certain customization requirements might not be fully met.Dependence on Data Quality
Like many AI tools, the performance of OpenDialog AI is heavily dependent on the quality of the data it is fed. Poor or incomplete data can lead to inaccurate or unreliable outputs, which can impact the overall effectiveness of the system.Need for Human Oversight
While the platform automates many tasks, it still requires human oversight to ensure that the AI-generated insights and responses are contextually relevant and align with business goals. This means that businesses need to maintain a critical eye on the data and outputs generated by the system.Potential Learning Curve
Given the advanced features and capabilities of OpenDialog AI, there might be a learning curve for some users, especially those without extensive experience in AI and conversational systems. However, the platform’s no-code visual builder and other user-friendly tools can help mitigate this issue. By weighing these advantages and disadvantages, businesses can make an informed decision about whether OpenDialog AI aligns with their needs and goals. OpenDialog - Comparison with Competitors
When comparing OpenDialog AI with other analytics and customer interaction tools in the AI-driven product category, several key aspects and unique features come to the forefront.
Unique Features of OpenDialog AI
- High Automation Rate: OpenDialog AI stands out for its ability to automate up to 90% of customer interactions, significantly reducing the need for human intervention. This is particularly beneficial for regulated industries like healthcare and insurance.
- Regulation Compliance: It is specifically built for regulated industries, ensuring all interactions are safe and compliant with industry standards. This includes robust privacy safeguards, secure data storage, and access controls.
- Advanced Conversational Capabilities: OpenDialog AI uses Generative AI and Large Language Models (LLMs) to provide natural, context-aware conversational experiences. Features like semantic classification, LLM actions, and retrieval augmented generation enable highly relevant and contextually accurate responses.
- Detailed Analytics: The platform offers hyper-detailed analytics to track user interactions, identify trends, and make informed decisions. This includes visual conversation mapping and live preview, test, and launch capabilities.
Alternatives and Competitors
Salesforce
Salesforce, particularly its Einstein Analytics, is a strong alternative. It uses machine learning to analyze customer data, predict sales outcomes, and personalize marketing campaigns. While it is more broadly focused on sales, marketing, and customer service, it lacks the specific regulatory compliance features of OpenDialog AI.
Zendesk
Zendesk is another alternative that excels in customer support but does not have the same level of automation or regulatory compliance as OpenDialog AI. It is more geared towards general customer service needs rather than the specific requirements of regulated industries.
Tableau and Power BI
These tools are more focused on data analytics and visualization rather than customer interaction and automation. Tableau and Power BI offer advanced data analysis, predictive modeling, and natural language processing, but they do not automate customer interactions or ensure the same level of regulatory compliance as OpenDialog AI.
Key Differences
- Industry Focus: OpenDialog AI is specifically designed for regulated industries like healthcare and insurance, which sets it apart from more general-purpose tools like Salesforce, Zendesk, Tableau, and Power BI.
- Automation and Compliance: The high automation rate and strict compliance features of OpenDialog AI make it a unique solution for industries where safety and transparency are paramount.
- Conversational AI: While other tools may offer some conversational AI capabilities, OpenDialog AI’s use of advanced LLMs and semantic classification provides a more sophisticated and context-aware interaction experience.
Potential Alternatives for Specific Needs
- For broader customer service needs without the stringent regulatory requirements, Zendesk or Salesforce might be more suitable.
- For advanced data analytics and visualization, Tableau or Power BI could be better choices.
- However, if the primary need is to automate customer interactions within highly regulated industries while ensuring compliance and safety, OpenDialog AI remains a standout option.
In summary, OpenDialog AI’s unique blend of high automation, regulatory compliance, and advanced conversational AI makes it an essential tool for entities in regulated industries, while other tools may be more appropriate for different business needs.
OpenDialog - Frequently Asked Questions
Here are some frequently asked questions about OpenDialog, along with detailed responses to each:
Q: What is OpenDialog and what does it do?
OpenDialog is an AI Agent Management System that provides complete control over your AI agents. It uses advanced natural language processing (NLP) and machine learning algorithms to enable natural, context-aware conversations with users. The platform allows you to manage and improve your conversational AI applications through various features like semantic classification, LLM actions, and retrieval-augmented generation.Q: How does OpenDialog ensure the accuracy and safety of AI outputs?
OpenDialog empowers you to ensure contextual input devoid of nonessential information and reasons over inputs and outputs. It also protects sensitive data with tight encryption, secure data storage, and access controls. Additionally, the system allows you to decide which user inputs are responded to by LLMs and which get routed to your integrated system or knowledge base.Q: What analytics and monitoring tools does OpenDialog offer?
OpenDialog provides the Analyse feature, which allows you to track user interactions, identify trends, and make informed decisions about your conversational application. The Analyse dashboard offers a comprehensive view of recent interactions, a log of the latest messages, and a high-level summary of usage patterns over time. You can visualize interaction logs, project usage, message logs, and detailed conversational history per user.Q: How can I access and analyze the conversational data in OpenDialog?
To access the Analyse dashboard, navigate to your workspace dashboard, select a scenario, and expand the ‘Test’ section in the left-hand sidebar menu. Here, you can review and explore different data snapshots of your application, including project usage trends, interaction logs, and a message log table. You can also export data with the current filters applied into a CSV file for further analysis.Q: What languages does OpenDialog support?
OpenDialog currently supports English, but it also offers translation capabilities to make your conversational application available in multiple languages for a global audience.Q: Does OpenDialog support mobile devices and various platforms?
Yes, OpenDialog supports integration across multiple platforms, including web chat and mobile devices, using its full-featured web chat and software development kit (SDK) tools.Q: What pricing plans does OpenDialog offer?
OpenDialog offers a “Free to prototype – Pay as you deploy” plan, which costs approximately £0.02 per conversation. They also provide OpenDialog Enterprise editions with multiple environments, full access to the codebase, and customized SSO integrations, available either on-premise or hosted on their cloud.Q: Who are the typical users of OpenDialog?
OpenDialog’s typical customers range from self-employed individuals to large organizations with up to 5,000 employees or more.Q: How can I integrate OpenDialog with other tools and systems?
OpenDialog allows you to integrate your AI agents with well-known LLMs and the tools your organization uses. You can send and receive attributes to and from a webhook URL, and use the Webhook actions feature to connect with various systems.Q: What level of support does OpenDialog offer?
OpenDialog offers support through email/help desk, FAQs/forum, and a knowledge base. They also provide chat support for their users.Q: Can I build and customize conversations without coding in OpenDialog?
Yes, OpenDialog features a no-code visual builder that allows you to build complex, non-linear conversations in layers using the conversation designer. You can also customize your agent’s brand and behavior in real-time and test it before launch.