Questions about orders, products, returns and complaints, handled independently via email and web forms. Escalation only when genuinely needed. Every handled contact is a data point for analysis.
Based on contact patterns, we create an overview of customers who may be at risk: several complaint contacts in quick succession, or complaints about price or quality. Your team decides who gets in touch.
After each instance of churn, the AI analyses the contact history. We bring these insights together each month: are we seeing shifts? Are more customers complaining about the same thing? This turns every departure into a signal rather than an endpoint.
We map your contact volume, CRM or helpdesk system and processes, including an honest assessment of what analysis can deliver with your data.
The AI employee is configured for your knowledge base, tone and contact processes. We establish the integration with your CRM or helpdesk system that enables analysis and test it thoroughly. The lead time depends on your system.
After launch, we measure each month what the AI handles, which customers appear on the at-risk list and what the churn analysis reveals. We adjust where needed.
Once email contact runs reliably through the AI employee and quality is proven, we deploy the same intelligence through a chat widget on your website. Customers get a faster first response, inbox pressure falls and the tone of voice and escalation logic remain identical. Deliberately a follow-up step: chat only works well once the foundations are in place.
Alongside answering questions, the AI employee shows what people ask, where they get stuck and what can be improved.
