AI chatbot development that answers accurately — every time.
We build production AI chatbots for sales, support and internal knowledge — grounded in your own data with RAG, with guardrails, analytics and a clear escalation path to humans.
AI chatbot development is the design and engineering of conversational AI assistants that use large language models, retrieval-augmented generation (RAG) and business logic to handle customer support, sales or internal workflows — with guardrails, analytics and human escalation.
What we deliver with AI Chatbot Development.
Grounded in your docs, tickets and KB — escalate to humans cleanly.
Qualify leads, book meetings, hand off to sales with context.
Private GPT-style assistants on your Drive, Notion, Confluence.
Voice chatbots for phone support, built on Twilio + LLMs.
Multi-channel deployment on Slack, Teams, WhatsApp.
Honest fit check.
A plain answer up front. We'd rather not sell you something you don't need.
- You want answers grounded in your own docs/tickets (RAG)
- You need guardrails, evals, and clean human-escalation
- You want analytics on every conversation, not just CSAT
- You want a generic 'ChatGPT skin' — pick a no-code tool
- You can't share any data, even under a DPA — not viable
- You expect 100% accuracy with zero human review — not realistic
What you get with AI Chatbot Development.
- RAG with your data
- Guardrails and evals
- Escalation to human agents
- Analytics and quality review
- Privacy-safe architecture
- Fine-tuning where valuable
Our stack, battle-tested.
How we deliver.
Clarify goals, scope, constraints and the business metric this project must move.
Map flows, shape the information architecture and agree the technical approach before build starts.
Ship in short sprints with staging links, written decisions and weekly review checkpoints.
QA, accessibility, page performance, analytics and release planning are handled before launch day.
Post-launch support, measurement, iteration and handoff are planned from the start.
Starting from $700, depending on project scope and requirements. LLM usage is billed via your OpenAI / Anthropic account at cost — never marked up.
What makes us different.
The people you meet in discovery stay involved through architecture, delivery and launch.
Metadata, schema, page performance and semantic markup are part of delivery, not a post-launch add-on.
Tradeoffs, integrations and scope changes are documented so your team can audit decisions later.
Repos, infra, analytics and documentation live in your accounts from the beginning.
Frequently asked questions
It can — but with proper grounding (RAG), evals and guardrails we keep accuracy high and make the failure modes visible.
Only if you choose. We can deploy fully on-premise with open models (Llama, Mistral) or use enterprise APIs with zero-data-retention terms.
Cuibit AI chatbot projects start from $700, depending on project scope and requirements. A scoped MVP on your docs, a production RAG chatbot with evals and a multi-channel voice + WhatsApp bot are each scoped differently. Model usage is billed at cost through your own OpenAI / Anthropic account.
Yes — we deploy to WhatsApp, Slack, Teams, SMS (Twilio) and web embed. Multi-channel is standard for most chatbot projects.
Clean handoff to your support team with full conversation context, sentiment analysis and priority routing. We integrate with Zendesk, Intercom, Freshdesk or your existing helpdesk.
Yes — voice chatbots for phone support using Twilio + LLMs with real-time speech-to-text, intent detection and natural language responses.
Related services.
Ready to start?
Tell us about your project. A senior strategist replies within one business day — with a written first take.