Jochem

Jochem

Jochem is an AI assistant that answers customer service questions instantly, learning from every interaction to continuously improve support efficiency.

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Jochem screenshot

About Jochem

Jochem is an internal AI assistant purpose-built for customer care teams. It delivers instant answers to agent inquiries, dramatically reducing response times and minimizing unnecessary escalations to team leads. By leveraging a self-improving knowledge base, Jochem continuously learns from human corrections and validated answers, ensuring its accuracy and relevance grow stronger with every interaction. The platform streamlines customer support workflows by enabling agents to generate email and chat responses with a single click, reducing cognitive load on second-line support. When Jochem encounters questions beyond its current knowledge, it intelligently escalates to senior agents while capturing learnings from those interactions to prevent future knowledge gaps. This creates a virtuous cycle where every customer inquiry contributes to system improvement. Jochem integrates seamlessly into existing workflows through connectors for Teams, Slack, and other business tools, eliminating the need for agents to switch between systems. The knowledge base stays current through automatic updates and AI-powered suggestions for new and conflicting content, ensuring information remains accurate and complete. Administrators maintain full control with customizable user permissions and preference settings. Operational insights are built in, providing metrics on time saved, frequently asked topics, and escalation patterns. These data points help managers identify training needs and optimize support processes. The platform is fully GDPR compliant, protecting customer and agent data throughout its operations.

Pros

👍 Cuts response time with instant AI-powered answers for support agents 👍 Self-learning system that improves accuracy from every interaction 👍 Seamless integration with Teams, Slack, and other workplace tools 👍 Escalation tracking and analytics reveal support trends and efficiency gains 👍 GDPR compliant with customizable permissions and data protection

Cons

👎 Effectiveness depends on quality and completeness of initial knowledge base 👎 Requires active feedback from agents to improve; passive deployment limits growt 👎 May require IT resources for initial setup and knowledge base migration 👎 Pricing scales with agent count, potentially expensive for large teams