Artificial intelligence has arrived in the world of work and in society: According to Deloitte At 56%, a fundamentally positive attitude towards the potential uses of AI prevails. Many employees and customers increasingly expect AI chatbots and agents to make work and communication easier. However, due to the rapidly growing market offering and rapid technological change, it remains a challenge for companies to make the right strategic decision and at the same time get started quickly and easily with the first AI solutions in order to create initial successes with artificial intelligence and the basis for its scaling.
In the following article, we present ten selection criteria for selected providers of chatbots and AI agents, which we also apply to a selection of long-established chatbot and AI companies. You can also deepen your functional understanding of chatbot platforms with our Function & Feature Overview.
7 Agentic AI and chatbot providers in comparison
Selection Criterion | Kauz.ai | Cogningy | Parloa | moinAI | Rasa | Userlike | Microsoft Copilot |
---|---|---|---|---|---|---|---|
Use Cases | Customer service Knowledge management AI Workplace |
Customer service | Customer service | Marketing, Sales & Customer Service | Marketing, Sales & Customer Service | Customer Service | AI workplace |
LLM-agnostic platform | LLM selection options | LLM selection options | LLM selection options | LLM selection options | LLM selection options | GPT Technology | GPT Technology |
Data Security & GDPR compliance | EU data hosting Cloud or on-premise Private LLMs Confidential computing |
Certifications Cloud or on-premise |
Certifications Data encryption |
EU data hosting Opt-in for personal data |
On-premise and private cloud deployment | No details available | Microsoft’s security and compliance mechanisms |
Dialog and process templates | Chatbot templates Free dialog control via agent templates Fixed dialog control via click flows |
Flow templates Graphical conversation design tool |
No public disclosures | Reusable dialog components | Chatbot templates Dialog patterns |
Dialog workflows | Dialog design and process templates |
CompanyGPT | Suitable for internal knowledge management and personal AI workplace | ❌ | ❌ | ❌ | ❌ | ❌ | Central area of application |
Control & Management | Analysis dashboards LLM orchestration Chunking and crawling configurations |
LLM orchestration Explainable AI |
Evaluation tools | Access only to central knowledge database | Response variations & conditions Contextual response rephraser |
Central knowledge database Message center |
Context management Copilot Control System |
Multi-Channel | Chat Live-Chat Voice input |
Telephony Chat Voice input |
Telephony Chat |
Chat Live-Chat |
Chat Messaging apps |
Chat Messaging apps |
Microsoft 365 apps |
Usability | No-code platform User interface for business users |
Targeted at technical users | User interface for business users | Intuitive Interfaces | For developers | Business User Console | Contextual support in Microsoft 365 applications |
Innovation maturity | Rapid expansion into a comprehensive AI agent platform | AI agents in the contact center | Use of agentive AI in customer service | First AI agents | Focus on GPT technology | Focus on chatbots & multichannel integrations | Deep integration into the MS365 ecosystem |
Pricing | Starting at €499 per month for company-wide access, or from €20 per user per month | Subscription or usage-based pricing starting at €2,500 | Individual | Starting at €475 per month | Individual | Starting at €90 per month | From €30 per user per month |
What you should definitely look out for when selecting an AI chatbot
Scalability of your AI applications
Chatbot integrations with high response quality have been accelerated by up to 90% thanks to large language models. Generative AI has become a true game changer for communication automation. For companies, this means they should think beyond isolated chatbot use cases. The deployment of AI will expand across all areas of the organization, and the number of specialized applications will grow rapidly. Therefore, it is advisable to rely on an AI platform from the very first projects—such as the implementation of chatbots—in order to scale AI usage effectively.
User autonomy
The vast future potential of artificial intelligence lies, among other things, in enabling employees to become more efficient in their workflows through AI tools—and to perform tasks independently that would otherwise require assistance. Natural language interfaces eliminate onboarding time and are set to fundamentally transform workplace culture. When choosing your AI chatbot provider, ensure that your employees can control the content quality of the AI application themselves. This allows them to actively shape the transformation process driven by AI deployment.
AI Chatbots 2.0
AI chatbots are the user interface of the future—whether in customer service, internal knowledge management, or individual work. With data integration and the inclusion of AI agents for process automation, AI chatbots are becoming increasingly powerful. Therefore, when choosing a provider, be sure to consider customization capabilities, even if you're starting with simple use cases.
Data Sovereignty
When it comes to service and support, the regional proximity of technology providers has always been an important decision factor. With the rise of AI, regionality has become even more critical. GDPR-compliant data processing within the EU and the highest possible assurance that company data will not be used for AI training are top priorities for many organizations—but they can also lead to higher costs. Carefully evaluate the security measures of chatbot providers and whether they offer scalable options for enhanced data protection.