I find the manual work,
then automate it.

D2C and SaaS brands typically see a full return on investment within the first 45 days. By automating the classification and resolution of up to 70% of tier-1 tickets, you eliminate the need to scale your manual sorting layer, saving upwards of $40,000 annually.

A production-grade AI triage system goes live in under 14 days. We map your specific ticket taxonomy and business rules first, then build the automation layer directly into your existing tools like Zendesk, Intercom, or Gmail, requiring zero downtime.

We use a bounded Connective Tissue Architecture that prevents hallucinations. The AI only auto-replies to specific, low-risk query types (like order status or return policies) where it has 100% confidence. Ambiguous or high-stakes tickets are always escalated to human agents with a pre-written draft.

Rule-based automations break when customers use unexpected language or typos. Agentic AI uses semantic understanding to correctly process intent, allowing it to handle complex workflows and multi-step decisions that rigid triggers cannot.