What is a chatbot development service?
Chatbot development is the design, build, and deployment of conversational software that lets users interact with a business through text or voice. Zeven builds custom AI chatbots powered by NLP and large language models for customer support, sales, lead qualification, and internal workflow automation across web, mobile, WhatsApp, and voice channels.
How is an AI chatbot different from a rule-based chatbot?
A rule-based chatbot follows a fixed decision tree and breaks when users phrase questions outside the script. An AI chatbot uses NLP and machine learning (often a large language model) to understand intent, handle paraphrasing, learn from conversations, and integrate retrieval over your own knowledge base. Zeven builds both, but recommends AI chatbots for any non-trivial use case.
How much does chatbot development cost?
A focused FAQ or lead-capture chatbot built on a managed platform typically starts in the low five figures USD. A custom AI chatbot with retrieval over your documents, CRM integration, and multilingual support generally ranges between mid-five and low-six figures. Zeven provides a fixed-scope quote after a free discovery call.
Which channels can Zeven deploy chatbots on?
Zeven deploys chatbots across web (live chat widget), mobile apps, WhatsApp, Facebook Messenger, Instagram DM, Slack, Microsoft Teams, SMS, and voice (phone IVR via Twilio or similar). The same chatbot brain can serve multiple channels through a unified backend.
Are Zeven chatbots GDPR and HIPAA compliant?
Yes. Zeven builds chatbots with data residency controls, encryption at rest and in transit, audit logging, and PII redaction. For HIPAA-regulated healthcare clients we deploy in HIPAA-eligible cloud environments and sign Business Associate Agreements where required.
How long does a chatbot project take?
A scoped FAQ chatbot ships in 4–6 weeks. A retrieval-augmented AI chatbot integrated with CRM, ticketing, and knowledge base typically ships in 8–14 weeks. Zeven works in two-week sprints with a working demo at the end of each sprint.