An AI chatbot connects to company systems via connectors and interfaces, linking to CRM platforms like Salesforce or HubSpot, ERP systems like SAP or Microsoft Dynamics, and the central knowledge base. It is only with this access that it can go beyond answering general questions and actually work with real transactional data. When choosing a solution, two things are key: having the right standard connectors and data access that ensures processing remains within Germany. This guide explains which systems can be integrated, how the connection works, and what matters when it comes to data privacy.

At a Glance

• Access to real transactional data: The chatbot retrieves order, contract, or customer data from CRM and ERP systems, rather than just providing general information.

• Standard connectors for common systems: Salesforce, HubSpot, Pipedrive, SAP, Microsoft Dynamics 365, Personio, and Confluence.

• Connection via OAuth 2.0 and API keys, featuring single sign-on via SAML or OAuth.

• Data processing in Germany, with no transfer to third countries.

• Realistic timeframes: Standard connectors set up in a few days; custom integrations in two to four weeks.

• Answers derived from verified sources, linked to the central knowledge base.

Why Integration Determines Business Value

An AI chatbot without system integration is limited to providing general information. It can explain a process but is unaware of the specific transaction in question. It can only answer queries about the status of an order, the progress of a contract, or stored master data once it has access to the underlying systems.

Integration thus elevates the chatbot from basic automated replies to actual task processing. It reads from the CRM to find what contracts a customer holds, checks the delivery status in the ERP, and writes updates back to the system. The business value in customer service, sales, and HR depends entirely on this access.

Which Systems Can Be Integrated

A viable provider covers standard system classes using standard connectors:

• CRM: Salesforce, HubSpot, and Pipedrive for customer, contact, and sales data.

• ERP: SAP and Microsoft Dynamics 365 for order, transactional, and logistics data.

• HR Systems: Personio for employee and self-service data.

• Knowledge Sources: Confluence, CMS, SharePoint, and websites as the foundation for answers.

• PIM: Product data for advisory services and guided selling.

For systems without a standard connector, the connection can be established custom-built via API.

How the Technical Connection Works

The connection is established using established interfaces. To gain access, the chatbot uses OAuth 2.0 or API keys, and login is managed via single sign-on using SAML or OAuth. Standard connectors for common systems are set up within a few days, while custom integrations usually take two to four weeks depending on scope.

The direction of the data flow is an important factor. A chatbot reads data to answer a question and writes data back to update a case. For handovers to human agents, a bidirectional integration is highly recommended, as it ensures that the conversational context is preserved in the CRM.

Data Privacy in System Integration

Integration involves personal data flowing between systems. From a GDPR perspective, where this data is processed is crucial. Processing data in Germany without transferring it to third countries is the most reliable approach. Ask your provider about their processing location and whether calls are made to external providers for generative AI components.

Where the answers originate is equally important. A system that grounds its answers in a verified knowledge base provides reliable information based on transactional data. To understand how grounding in these sources works, read our article on hallucinations in AI chatbots.

How Mercury.ai Handles Integration

Mercury.ai connects company systems via standard connectors while keeping all data processing in Germany. This includes connecting CRMs like Salesforce, HubSpot, and Pipedrive, ERPs like SAP and Microsoft Dynamics 365, as well as Personio, Confluence, and other knowledge sources. Access is secured via OAuth 2.0 or API keys, with login via SSO using SAML or OAuth.

Answers are drawn from the Knowledge Hub, the central knowledge base with access to CRM, CMS, SharePoint, and websites. The Agent Desk integrates Salesforce bidirectionally, ensuring the conversation context is preserved during handovers to human agents. Standard connectors can be configured in a few days, and custom integrations in two to four weeks. A detailed overview is available on our Integrations page.

Frequently Asked Questions

Can an AI chatbot be integrated with SAP?
Yes. The connection to SAP is established via a connector that makes order, transactional, and logistics data available to the chatbot. Access is processed through the designated interfaces.

How is a chatbot connected to Salesforce or HubSpot?
Using standard connectors with OAuth 2.0 or API keys. The chatbot reads customer and sales data and is able to write back transactional updates. At Mercury.ai, the Agent Desk provides a bidirectional connection with Salesforce.

How long does the integration take?
Standard connectors to common systems are set up in a few days. Custom integrations typically take two to four weeks depending on the scope.

Does data remain in Germany during integration?
Mercury.ai processes your data in Germany with no transfer to third countries. No calls are made to external providers for the generative component.

What systems can be integrated without a standard connector?
Systems without a pre-built connector can be integrated individually via an API. Depending on complexity, the effort required is usually two to four weeks.

Conclusion

Integration determines whether an AI chatbot merely provides general information or works with actual transactional data. Key factors are appropriate standard connectors for CRM and ERP systems, connection via established interfaces, and data access that keeps processing in Germany. Mercury.ai brings these elements together, grounding chatbot answers in a verified knowledge base.

Would you like to connect your chatbot to CRM and ERP systems? Get in touch with us or explore our Integrations.