AI That Talks,
Sells & Solves
24/7.

A regular chatbot follows pre-scripted decision trees, if the user's message doesn't match an expected input, it fails. Conversational AI uses large language models (LLMs) to interpret any natural language input, maintain context across an entire conversation, pull from your knowledge base, and take real actions in your systems. The result is a bot that actually resolves issues instead of routing people to dead ends.

Every AGIX chatbot is built on a RAG & Knowledge AI architecture. Before generating any response, the system retrieves relevant, verified content from your knowledge base; product docs, FAQs, policies, and internal databases. The LLM is then constrained to answer from this retrieved context only. We also implement confidence thresholds: if the system cannot find a reliable answer, it escalates to a human rather than guessing.

AGIX chatbots deploy across website (live chat widget), WhatsApp Business, SMS, Facebook Messenger, Instagram DM, Slack, Microsoft Teams, and custom API endpoints. All channels connect to a unified backend; the same conversation context, knowledge base, and CRM integrations power every channel simultaneously.

AGIX chatbot projects range from $5,000–$8,000 for single-channel builds to $18,000–$25,000 for enterprise multi-channel platforms with advanced agentic capabilities. All pricing is fixed-scope, no open-ended retainers. You receive the full source code, infrastructure, and documentation. Typical ROI timelines are 4–12 months depending on ticket volume and current support costs.

AGIX chatbots monitor every conversation for escalation triggers, detected frustration signals, repeated failed attempts, explicit human requests, or high-stakes intent flags (e.g. cancellation, legal, safety). When triggered, the bot packages the full conversation transcript, identified intent, and customer record context, then routes to your helpdesk or live chat platform (Zendesk, Intercom, Freshdesk, etc.) so the human agent starts with full context, never from scratch.

Yes, and this is central to how AGIX builds. We ingest your product documentation, support articles, internal wikis, FAQs, policy documents, and past support tickets into a vector knowledge base. The chatbot retrieves from this at inference time, meaning it answers based on your actual content, not generic training data. As your documentation updates, you push changes to the knowledge base and the bot immediately reflects them.

Single-channel chatbots typically go from scoping to production in 4–6 weeks. Omnichannel platforms with multiple integrations take 6–10 weeks. Enterprise builds with complex agentic capabilities run 10–14 weeks. AGIX follows a phased deployment: knowledge base build and testing → staging deployment → production rollout with live monitoring. You have full visibility at every stage.