AI & ML Solutions
AI Chatbot Development Services
Custom RAG chatbots that answer from your documents, with SSO, permissions and audit logs
We build customer support chatbots and internal assistants that answer from your help centre, policies and internal documents, cite the source, and hand off to a person when they should. Simple RAG chatbots start at $15,000 and go live in 4–8 weeks.
- Clients Worldwide
- 300+
- Projects Delivered
- 1,000+
- Rated on Clutch & GoodFirms
- 5/5
- Years Experience
- 13+
Most companies asking for an AI chatbot want one of two things: fewer repeat questions reaching the support team, or staff who stop hunting through SharePoint for a policy. Both come down to the same build. Your documents are indexed, the right passages are retrieved for each question, and a language model writes the answer from those passages only, with a link to where it came from.
When a custom chatbot is worth it
If your questions are generic and your help centre is small, a SaaS tool such as Intercom Fin or Zendesk AI at $500–$2,000 a month is the cheaper answer, and we will tell you so on the first call. A custom build pays off when answers live in internal documents or databases, when different users are allowed to see different documents, or when your data cannot go to a third-party API.
Chatbot or agent?
A chatbot explains. An agent acts: it looks up the order, issues the refund, books the slot. Look at a week of your queue. If most tickets end with an explanation, start with a chatbot. If they end with someone clicking through another system, you need an AI agent, and the budget is roughly two to three times higher. To add AI to a product you already sell, see AI integration services.
The full cost breakdown, including run costs, is in our AI chatbot cost guide and enterprise RAG cost breakdown.
Pricing
What an AI Chatbot Costs to Build and Run
| Chatbot type | What you get | Build cost | Timeline | Monthly run cost |
|---|---|---|---|---|
| FAQ chatbot | Scripted answers, lead capture, appointment booking. No LLM. | $5,000–$20,000 | 4–8 weeks | Hosting only |
| Simple RAG chatbot | Answers from one document source, web chat widget, no access control | $15,000–$25,000 | 4–8 weeks | $300–$800 |
| Production RAG chatbot | 3–5 sources, hybrid search, role-based access, Slack or Teams, admin dashboard | $40,000–$80,000 | 10–16 weeks | $1,000–$3,000 |
| Enterprise private chatbot | Self-hosted model, SSO (Azure AD, Okta), per-document permissions, audit logs | $80,000–$150,000+ | 16–28 weeks | $2,000–$8,000 |
| Chatbot that takes actions | Looks up orders, issues refunds, books, updates your CRM (an AI agent) | $50,000–$150,000 | 8–16 weeks | Depends on volume |
Each extra channel (Slack, Teams, a help desk widget or a mobile app) adds 2–4 weeks. Send us your document sources, user count and security requirements and we will reply with a fixed-scope estimate covering both build and run cost.
Capabilities
AI Chatbots We Build
Chatbots Trained on Your Documents
RAG pipelines over SharePoint, Confluence, Google Drive, PDFs, help centres and databases, with hybrid search and re-ranking so the right passage reaches the model.
Customer Support Chatbots
Answers on your site, in your app or inside Zendesk, Intercom or Freshdesk, with order lookups and a warm handoff to a human agent when the bot is out of its depth.
Internal Assistants on Slack and Teams
HR, IT, policy and engineering questions answered where your staff already work, with links back to the source document.
SSO and Per-Document Permissions
Azure AD or Okta sign-in, with retrieval filtered by role so a user only gets answers from documents they are allowed to open.
Audit Logs and Private Hosting
Immutable logs of every question and answer, PII redaction, and self-hosted models for teams that cannot send data to a third-party API.
Answer Quality and Analytics
RAGAS faithfulness scoring before launch, plus a dashboard of unanswered questions, deflection rate and cost per conversation after it.
Upgrade Path to an AI Agent
Start with a chatbot that answers, then add actions one system at a time: refunds, bookings, CRM updates, each with confirmation gates.
Results
Chatbots and Assistants We Have Shipped
KnowledgeCore
Internal knowledge assistant for a 1,200-person manufacturer, answering from SharePoint and Confluence on a self-hosted Llama model.
- fewer internal knowledge tickets
- 73%
- RAGAS faithfulness score
- 0.94
- queries in the first 90 days
- 12,000+
ClearVoice
Voice AI support agent for a financial services company handling 4,000+ inbound calls a month, with caller verification against the core banking API.
- of calls resolved without an agent
- 58%
- agent hours freed per month
- 380+
- caller satisfaction on AI calls
- 4.2 / 5
How it works
How a Chatbot Project Runs
- 01
Queue Audit
We read a week of your tickets or questions and sort them into explanations and actions. That tells us whether you need a chatbot, an agent or a SaaS tool.
- 02
Knowledge Audit
We map your document sources, who may see what, and what is out of date. Stale documents are the most common reason chatbots give wrong answers.
- 03
Build and Evaluate
Ingestion, retrieval, prompts and the chat interface, tested against a question set built from your real queries until the faithfulness score holds.
- 04
Pilot
A small group uses it for two to three weeks. We review every unanswered or downvoted question and fix the gaps in content or retrieval.
- 05
Launch and Tune
Roll-out to every channel, with monthly reports on deflection, unanswered questions and run cost.
FAQ
Frequently Asked Questions
Get a Fixed Estimate for Your Chatbot
Tell us what the chatbot should answer, where your documents live and who will use it. On a 30-minute call we confirm the right tier and send a fixed-scope estimate with build and monthly run cost.
Also see: AI Integration · AI Agent Development · Hire AI Developers
