AI Chatbot Development Services Grounded answers. Human handoff when it matters.
Production AI chatbots that ground answers in your content, cite sources, and hand off to a human when confidence drops. Customer support, lead capture, internal Q&A. Shipped in 6 to 12 weeks. USD pricing.
We tell you whether your use case fits an off-the-shelf platform or needs a custom build, and what the safety guardrails look like.
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Who we've built for.
How we work on AI chatbot development
- What we build
- Support chatbots · Lead-gen chatbots · Internal Q&A · AI agents · Multi-channel (web, WhatsApp, Slack, Teams)
- Stack
- OpenAI · Anthropic · Open source (Llama, Mistral) · LangChain · LlamaIndex · pgvector · Pinecone · Weaviate
- Guardrails
- Source citation · confidence scoring · human handoff · PII redaction · prompt injection defence
- Integrations
- Zendesk · Intercom · HubSpot · Salesforce · Slack · Teams · WhatsApp Business · Twilio
- Pricing in USD
- Chatbot MVP from $11,000 · Support chatbot from $21,000 · Multi-channel AI agent from $35,000
- Output
- Production chatbot · evaluation harness · hallucination monitoring · runbook · on-call coverage
An AI chatbot is only useful when it gives accurate, traceable answers and knows when to escalate. We build chatbots that ground every response in your content via RAG, cite the source page, and hand off to a human when confidence drops. This page covers what we build, the stack we use, what every use case typically costs, and how the FAQ answers actually need to be structured.
Related builds
Production AI systems with grounding, guardrails, and audit trails:
What we build
Customer support chatbot
Answers product, policy, and account questions grounded in your help centre, KB, and documentation. Handoff to human via Zendesk, Intercom, Freshdesk, or Salesforce Service Cloud when confidence drops or when the user asks.
Lead-gen and qualification chatbot
Pre-screens website visitors with conversational forms, scores intent, books meetings via Calendly or HubSpot, pushes qualified leads into the CRM. Built for marketing and sales sites.
Internal Q&A and HR chatbot
Grounded in your internal policies, employee handbook, HR-IS, and runbooks. Sign-on via Google Workspace, Microsoft Entra ID, or Okta. Slack and Teams native delivery.
Multi-step AI agent
Takes actions, not just answers. Books appointments, opens tickets, looks up orders, runs queries. Built with explicit tool definitions, audit log, and confirmation flows.
Multi-channel deployment
Same brain, multiple front ends. Web widget plus WhatsApp Business plus SMS via Twilio plus Slack plus Teams. Shared conversation memory across channels.
Related AI capabilities: AI & machine learning, Generative AI, NLP development, AI consultation, AI-powered software, Custom software development.
Use cases with cost ranges
Customer support chatbot for SaaS
Grounded in your help centre, KB, and documentation. RAG with hybrid search and re-ranking. Citation on every answer. Handoff to Zendesk or Intercom when confidence drops or user requests human. Eval set of 100 representative queries. Hallucination monitoring. Typical build 8 to 12 weeks. Range $21,000 to $35,000 depending on content volume and integration count.
Lead-gen chatbot for marketing site
Conversational form that replaces traditional contact form. Pre-screening logic. Meeting booking via Calendly. Qualified leads pushed to HubSpot or Salesforce. Web widget. Typical build 4 to 8 weeks. Range $7,000 to $11,000 depending on qualification logic complexity.
Internal Q&A chatbot
Grounded in employee handbook, HR-IS, internal policies, runbooks. Sign-on via Google Workspace or Microsoft Entra ID. Slack and Teams native. PII redaction strict. Audit log of every Q for compliance review. Typical build 6 to 10 weeks. Range $11,000 to $21,000 depending on document volume.
AI agent that takes actions
Takes actions, not just answers. Tool definitions (book appointment, open ticket, lookup order, run query). Confirmation flow on side-effectful actions. Audit log. Stack: LangChain plus OpenAI or Anthropic plus custom tool layer. Typical build 10 to 14 weeks. Range $21,000 to $35,000 depending on tool count and audit complexity.
How we run the build
Five-phase rhythm for chatbot builds. Eval set authored before any code is written.
- Discovery and eval set (2 weeks). Use case definition. 30 to 200 representative queries collected from your team or product analytics. Pass-fail criteria authored. Output: eval set document plus integration scope.
- RAG ingestion and indexing (1 to 2 weeks). Content sources connected. Chunking strategy. Embedding model selection. Index built. Hybrid search baseline measured against eval set.
- Build (3 to 6 weeks). Two-week sprints. Eval gate on every PR. Citation accuracy and confidence calibration tuned every sprint.
- UAT and safety review (1 week). Real-user testing. Prompt-injection red-team. PII handling test. Hallucination rate measured.
- Launch and dual on-call (1 week plus 2 weeks). Production deploy with monitoring on conversation quality. Hallucination output sampling. Runbook delivered.
Tech stack
- LLM layer: OpenAI (GPT-4o, GPT-4o-mini) or Anthropic Claude (Sonnet, Haiku) for production. Open-source (Llama 3, Mistral) for self-hosted or cost-sensitive workloads via Replicate, Modal, or self-hosted vLLM.
- RAG layer: LangChain or LlamaIndex for orchestration. pgvector, Pinecone, Weaviate, Qdrant for vector storage. Hybrid search (BM25 plus semantic) by default. Re-ranking with Cohere Rerank or cross-encoder.
- Front end: Custom widget in Next.js for embedded web. Pre-built widgets where the client wants minimal effort. Slack and Teams native via official SDK.
- Channel integration: Twilio for WhatsApp Business, SMS. Intercom and Zendesk for support handoff. HubSpot and Salesforce for CRM push. Calendly for booking.
- Evaluation harness: Eval set of 30 to 200 representative queries. Pass-fail metrics on accuracy, citation correctness, refusal accuracy. Run every PR via CI. Hallucination monitoring in production via output sampling.
- Safety: Source citation mandatory on factual answers. Confidence scoring with human-handoff threshold. PII redaction on input. Prompt-injection defence via input filtering and output validation. Rate limiting per user.
Pricing
Chatbot MVP
From $11,000
- Single channel (web), single use case.
- Lead-gen or basic Q&A. 4 to 6 weeks.
Support chatbot
From $21,000
- Web widget, RAG over help centre.
- Zendesk or Intercom handoff, eval harness. 8 to 12 weeks.
Internal Q&A chatbot
From $11,000
- Slack or Teams native.
- Sign-on via Google or Microsoft, RAG over docs. 6 to 10 weeks.
AI agent with tools
From $21,000
- Tool-using agent with confirmation flow and audit log.
- 10 to 14 weeks.
Multi-channel AI agent
From $35,000
- Same brain across web, WhatsApp, Slack, Teams.
- Shared memory. 12 to 18 weeks.
FAQ
All three. OpenAI (GPT-4o, GPT-4o-mini) for general-purpose production. Anthropic Claude (Sonnet, Haiku) for long-context grounding and safety-sensitive workloads. Open-source (Llama 3, Mistral) for self-hosted or cost-sensitive workloads via Replicate, Modal, or self-hosted vLLM.