AI Chatbot Development Conversational AI that handles real support volume — not scripted FAQ bots.
Build intelligent conversational AI systems that understand context and provide 24/7 support. Delivered by our AI & Machine Learning team in 4 to 10 weeks. USD pricing.
Part of our AI & Machine Learning practice — see related capabilities below.
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Who we've built for.
How we work
- Focus
- AI Chatbot Development
- Stack
- OpenAI GPT-4o · Anthropic Claude · LangChain · LangGraph · Pinecone · Weaviate · pgvector · Python · FastAPI
- Integrations
- Slack · Microsoft Teams · Salesforce · HubSpot · Zendesk · custom APIs · vector databases
- Typical timeline
- 4 to 10 weeks
- Compliance
- EU AI Act · GDPR · SOC 2 · zero-retention API options · EU data residency
We build production AI chatbots that understand context, cite sources, and hand off to humans when needed. RAG over your docs, CRM integration, and analytics — shipped in 4 to 8 weeks.
Recent AI builds — named clients
Built a complete Legal AI Contract Review & Drafting platform from scratch, with LLM fine-tuning, MS Word add-in, and multi-dashboard ecosystem
Read case study →
All-in-one hospital platform with AI medical history in seconds, staff, patients, inventory, CRM & finance
Read case study →
Unified company knowledge graph, graph RAG, SOC/ISO PR scans & LLM implementation.md from every source
Read case study →
1.6B EAN product API, Next.js dashboard, Amazon/Walmart Chrome extension with Keepa charts
Read case study →What we deliver — AI Chatbot
Customer support chatbots
Deflect tickets with accurate answers from your knowledge base, policies, and product docs.
Sales qualification bots
Capture leads, qualify intent, and route hot prospects to the right rep automatically.
Internal knowledge assistants
Slack and Teams bots that answer HR, IT, and ops questions from internal wikis.
Multi-channel deployment
Web widget, WhatsApp, Slack, and embedded in your product — one brain, many surfaces.
RAG and guardrails
Vector search over your content with citation, PII filtering, and escalation rules.
Analytics and improvement
Conversation logs, satisfaction scoring, and retraining workflows post-launch.
Capability detail: AI & Machine Learning, Generative AI, Machine Learning, Computer Vision, NLP Development, AI Consultation.
Typical engagement ranges
AI feature integration
From $7,000
- LLM feature inside existing product.
- Single use case, 4 to 6 weeks.
- OpenAI or Claude API.
Production AI system
From $12,000
- RAG, agents, or multi-step workflows.
- Evaluation harness and monitoring.
- Typical 6 to 10 weeks.
Enterprise AI program
From $35,000
- Multiple AI products or divisions.
- Compliance documentation.
- Dedicated team retainer option.
FAQ
Yes — Zendesk, Intercom, Freshdesk, and Salesforce Service Cloud are common. We bi-directionally sync tickets, context, and handoff transcripts.
RAG with source citation, confidence thresholds, and fallback to human agents. We evaluate on your real FAQ and ticket history before launch.
GPT-4o or Claude for quality; smaller models for high-volume internal use. We benchmark cost vs accuracy on your actual queries.
We document risk classification, human oversight, and data handling. High-risk use cases get additional logging and audit trails by default.