We pick the right tools for the job — not the flashiest name. That might mean Dialogflow or Rasa for robust NLU, fine-tuned transformer models (when context requires it), embedding-based search for knowledge retrieval, and lightweight webhook services to connect your systems. We also use pragmatic techniques like intent grouping, slot filling, and fallback flows to keep conversations friendly and resilient. Cloud or on-prem? We’ll match your security and latency needs.

Cost tracks with complexity. A simple conversational FAQ bot will sit at the lower end of the scale. Add integrations (payments, bookings, account lookups), custom training with your data, multi-language support, or voice channels — and the price climbs. We don’t do mystery pricing: we scope features first, then provide an itemized estimate so you know where each dollar goes. Think of it as investing in fewer support tickets, not just another website widget.

We treat launch as the beginning. Conversations evolve — people phrase things differently, new questions appear, and edge cases show up. We monitor conversation logs, retrain models as needed, refine fallback answers, and tune the assistant’s personality. If you want ongoing analytics or monthly optimization sprints, we do that too. The assistant gets smarter over time — with our help.

Absolutely. The assistant is useful only if it can take action like looking up orders, booking slots, updating tickets, or processing returns. For these functionalities we often integrate third-party services through APIs. 

We follow advanced security protocols for every AI project. Some of the tried and tested security measures we ensure include reducing data storage, advanced encryption for both data in transit and data at rest, leveraging role-based access control, using predictive analytics and meeting industry-specific and regional compliance requirements like GDPR, HIPAA, etc.