AI Chatbots

The chatbots you've seen — the ones that frustrate customers and make your team look bad — are generic language models pointed at a FAQ page. Mine aren't. A Veridicus chatbot is trained on your actual product documentation, your policies, your historical support transcripts, and the edge cases your team has learned the hard way.

The result is a system that answers the questions your team answers every day, with the accuracy your team would — and escalates the rest with full context, so the human picking up the conversation has the transcript, the customer's history, and the model's best guess at what's going on. No starting from scratch.

Deployment is multi-channel. The same underlying system powers a web widget, a Slack bot for internal questions, and a Teams integration for the field team. Branding and tone are configured per channel. Analytics roll up into one dashboard so you can see what's being asked, where the model is uncertain, and which answers need to be improved.

I run the training loop with you for the first quarter — reviewing transcripts, tightening the knowledge base, adjusting tone and escalation logic. After that the system is stable and yours to operate.