Tekst

Tekst's AI-powered email and messaging automation platform revolutionizes organizational communication by processing and interpreting complex messages across multiple channels. Through sophisticated technology that learns from historical data, the platform extracts multiple priorities from single emails and maintains context across languages and acronyms. With applications ranging from order intake to customer service resolution, Tekst streamlines workflows while providing actionable insights through comprehensive data analysis. The company's commitment to security includes rigorous data deletion protocols and ISO certification, making it a robust solution for businesses seeking efficient communication automation.

Tekst's AI Technology

Tekst's AI technology operates through a sophisticated process that goes beyond basic keyword recognition. By analyzing historical data from emails, chats, tickets, and orders, the system builds a comprehensive understanding of the organization's communication patterns. This foundation enables the platform to interpret complex messages, extract multiple priorities from a single email, and maintain context across multiple languages and acronyms.

The company's proprietary DeepContextTM technology serves as the backbone of their AI capabilities, allowing the platform to read between the lines and uncover the true intent behind messages. This multilayered approach enables Tekst to handle multiple requests within a single email and provide agents with the comprehensive information they need to resolve issues efficiently.

Security is a paramount concern for Tekst, and their commitment to data privacy is evident in their rigorous security protocols. All training data is deleted once the AI model has been created for a specific company, ensuring that no user information is retained. This approach aligns with the company's dedication to maintaining strict data security standards, as evidenced by their ISO certification.

The platform's capabilities extend far beyond basic automation, offering businesses actionable insights and streamlined workflows through integration with leading business software systems. With the ability to process over 100% of message traffic across emails, tickets, chats, and other channels, Tekst provides a comprehensive view of organizational communication that goes beyond simple summary statistics.

How Tekst Works

Tekst's AI model operates by analyzing historical communication data from emails, chats, tickets, and orders. This process allows the platform to understand the unique structure and language patterns of each organization. The system can process multiple languages and technical acronyms, extracting multiple priorities from a single email and maintaining context throughout the conversation.

Once integrated, Tekst automates tasks across the entire customer service lifecycle, from order intake to complaint resolution. The platform reduces average order processing time by 15 minutes per order per agent through smarter workflows rather than increased workload. This efficiency improvement is achieved without requiring significant changes to existing processes, as Tekst operates behind the scenes with minimal disruption to users.

The system provides real-time visibility into operational metrics across multiple dimensions. Users can track message counts, response times, and agent performance data for different regions or individual agents. This comprehensive view enables data-driven decision-making through simple, shareable reports connected directly to popular business intelligence platforms like PowerBI.

The platform's capabilities stem from its ability to handle 100% of message traffic across multiple channels. Tekst processes data from emails, tickets, chats, and other communication sources to detect trends and optimize workflows. The company's DeepContextTM technology allows the AI to read between lines, interpreting complex content, intent, and sentiment in messages.

Integration with third-party systems demonstrates the platform's versatility, working seamlessly with major CRM solutions like Salesforce and Microsoft Dynamics 365, business intelligence tools such as Tableau and Looker, and leading customer service platforms including Zendesk and ServiceNow. The system can automate processes alongside Salesforce Einstein, handling complex cases and large datasets efficiently while managing multi-language communications effortlessly.

Integration and Implementation

Tekst's platform operates seamlessly behind existing systems, requiring only 6 weeks of setup to integrate with over 30 business software solutions. This rapid implementation time stands in stark contrast to the industry average for significant IT changes. The platform's architecture allows it to address several critical aspects of enterprise communication:

Message Routing: Messages are automatically directed to the correct person, reducing response delays and minimizing clutter in communications. The system demonstrates its efficiency through real-time processing of multiple channels, including emails, tickets, and chat messages, while maintaining strict data security protocols.

Agent Support: Agents receive comprehensive information automatically, significantly reducing their time to resolution. The platform's capabilities enable real-time visibility into operational metrics, showing message counts, response times, and agent performance across different regions or individual agents. These insights are presented through simple, shareable reports connected directly to popular business intelligence platforms like PowerBI.

System Integration: The platform's versatility is demonstrated through its seamless connection with major CRM solutions including Salesforce, Microsoft Dynamics 365, and Zendesk, as well as business intelligence tools such as Tableau and Looker. Additionally, it works with customer service platforms like ServiceNow and Genesys, and ERP systems including SAP. The company continuously expands its integration capabilities, adding 25+ new systems weekly.

The platform's architecture emphasizes security and data privacy through ISO certification. All training data is deleted once the AI model has been created for a specific company, ensuring that no user information is retained. This approach aligns with their commitment to maintaining strict data security standards while enabling the platform to process 100% of message traffic across multiple channels including emails, tickets, chats, and other communications.

The technology demonstrates its capabilities through the ability to detect trends based on comprehensive message traffic analysis. The platform's DeepContextTM technology reads between the lines, interpreting complex content, intent, and sentiment, while handling multiple requests within a single email. This advanced processing allows Tekst to work alongside Salesforce Einstein, managing complex cases and large datasets while maintaining multilingual communication capabilities across Dutch, French, Spanish, and other languages.

AI Capabilities

Tekst's AI platform processes incoming emails, tickets, and chat messages through its sophisticated DeepContext technology, which interprets complex content, intent, and sentiment while handling multiple requests per email. The system analyzes each message in detail, breaking down even the most intricate communications to extract multiple priorities from a single email, a capability that sets it apart from simpler keyword-based approaches.

At the core of Tekst's innovation is a sophisticated data learning process that combines multiple languages, acronyms, and technical terms. By analyzing historical data from emails, chats, and orders over weeks, the AI model builds an intimate understanding of each organization's unique communication patterns, a foundation that enables it to process 100% of message traffic across various channels including emails, tickets, and chat messages.

The platform demonstrates its complexity-handling capabilities through successful integration with leading AI tools and systems. It works seamlessly with Salesforce Einstein to manage sophisticated cases and large datasets while maintaining multilingual capabilities across Dutch, French, Spanish, and multiple other languages. The company's technological achievements have earned it ISO certification and strict data security protocols, with all training data deleted after model creation to maintain user privacy.

Tekst's AI platform's impact extends beyond basic automation, providing actionable insights and streamlining workflows through its versatile integration capabilities. The system works behind existing user processes with minimal disruption, integrating in just 6 weeks with over 30 business software systems while continuously expanding its capabilities by incorporating data from an additional 25+ systems weekly.

Security and Data Handling

All training data is deleted once the AI model has been created for a specific company, with a perfect separation between data and the AI model. This approach ensures full privacy and compliance with regulations while allowing the platform to maintain accurate learning.

The company follows strict security protocols as evidenced by their ISO certification. Data privacy is maintained through careful data handling practices: Tekst does not store or duplicate user data, ensuring that information remains protected throughout the AI model's operation.

The system's architecture emphasizes security through careful data handling and privacy practices, with training data deleted after model creation. All processing occurs in a manner that maintains strict separation between the data used for training and the operational AI model, ensuring both performance and privacy.