System StatusOnline
NAV
GPT-4 AI agent resolving 80% of support tickets automatically. 24/7 multi-channel (chat, email, WhatsApp), trained on your knowledge base.
I deploy custom AI support agents built on GPT-4 or Claude, trained on your product documentation, FAQ, and past ticket history. The agent handles first-line support autonomously—answering questions, processing refunds, resetting passwords, and escalating complex cases to human agents with full conversation context. Integrates natively with Zendesk, Intercom, Freshdesk, or any webhook-compatible platform.
80% autonomous ticket resolution rate—your human agents focus only on complex, high-value cases instead of repetitive queries.
24/7/365 availability with sub-5-second response time—no sick days, no shift gaps, no customer waiting in a queue.
Trained on your exact knowledge base, product docs, and brand tone—responds as a member of your team, not as a generic chatbot.
Full escalation logic with context handoff—when the AI can't resolve a ticket, a human agent receives a complete conversation summary instantly.
Multi-channel in one agent: web chat, email triage, WhatsApp, Slack, and any webhook-compatible platform unified under a single system.
I audit your existing documentation, past ticket history, and FAQs to identify coverage gaps and define what the agent must know before training begins.
I design the decision tree, tone guidelines, and escalation triggers, then train the agent on your data using Retrieval-Augmented Generation (RAG) for accurate, document-grounded responses.
I wire the agent into your support platform (Zendesk, Intercom, or custom) with fallback logic, confidence thresholds, and human-in-the-loop escalation flows.
I test the agent on historical tickets, measure resolution rate, tune responses for accuracy, and launch with a monitoring dashboard tracking resolution rate and escalation frequency.
I implement confidence thresholds—below a set level the agent transparently tells the user it doesn't know and escalates to a human. A feedback loop also flags incorrect answers so they improve the next version.
Out of the box: Zendesk, Intercom, Freshdesk, HubSpot Service Hub. For other platforms I build a webhook or API integration. The agent can also run as a standalone chat widget on your website.
Yes. I set up a semi-automated retraining pipeline. New resolved tickets are reviewed, approved, and added to training data on a monthly cadence, keeping the agent continuously improving.
Yes. GPT-4 and Claude handle most languages natively. I configure language detection and can set different tone guidelines per language if your customer base is multilingual.
Initiate protocol. Establish connection. Let's build something loud.