What's the difference between conversational AI and a basic chatbot?
Basic chatbots follow scripted flows with keyword matching. Conversational AI uses NLU to understand intent and context, handles multi-turn dialogues, and retrieves relevant information from knowledge bases. It's the difference between a flowchart and a conversation.
What is RAG and why is it important?
RAG (Retrieval-Augmented Generation) lets the AI pull answers from YOUR documents—policies, FAQs, product manuals. Without RAG, LLMs hallucinate. With RAG, the AI cites sources and gives accurate, company-specific answers.
Which channels can you deploy to?
We deploy to web chat, Slack, Microsoft Teams, WhatsApp, Facebook Messenger, SMS, and voice (phone IVR). Premium packages include omnichannel with unified conversation history across all touchpoints.
How accurate is conversational AI?
With proper training and RAG, we achieve 85-95% accuracy on in-scope queries. We design fallback paths for unknown intents—gracefully handing off to humans rather than giving wrong answers.
Can the AI complete tasks, not just answer questions?
Yes! We implement function calling and integrations so the AI can create tickets, book meetings, update CRM records, process returns, and more. It's not just Q&A—it's an automated agent.
How do you handle multiple languages?
Premium packages include multi-language support. We can train separate NLU models per language or use translation layers. Language detection routes users to the right model automatically.
What about data security and privacy?
We implement SOC 2-compliant architectures with data encryption, access controls, and audit logging. For sensitive industries, we deploy on Azure OpenAI or private models with data residency guarantees.
How do you measure success?
We track containment rate (% resolved without human), accuracy, customer satisfaction (CSAT), and task completion. Dashboards show conversation trends, popular intents, and areas needing improvement.
How long does implementation take?
Single-channel assistants with FAQ launch in 2-3 weeks. Multi-channel with RAG and integrations run 4-6 weeks. Enterprise platforms with voice and multi-language typically take 8-12 weeks.
What ongoing support do you provide?
All packages include post-launch support. We also offer retainers for intent tuning, knowledge base updates, new channel deployments, and performance optimization as your needs evolve.
