Custom AI chatbot development for customer support, sales, and internal workflows. We build intelligent conversational agents that understand context and deliver results.
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Modern chatbots are far more than scripted decision trees. We build intelligent conversational agents powered by LLMs that understand context, maintain conversation state, access your knowledge base, and take actions β all while staying on-brand and handling edge cases gracefully.
We build chatbots using OpenAI and Claude for intelligence, custom RAG for knowledge grounding, LangChain for conversation management, and deploy across channels using webhook integrations. Our chatbots include admin dashboards for conversation review and knowledge base management.
Companies looking to automate customer interactions, reduce support costs, or enhance user experiences with conversational AI. From startups wanting their first support bot to enterprises needing multi-channel, multi-language conversational platforms.
Map conversation flows, identify automation opportunities, define personality, and establish success metrics.
Ingest documentation, create embeddings, design retrieval strategies, and build training datasets.
Build conversation engine, implement tool use, create handoff logic, and develop admin interface.
Test with real scenarios, refine responses, tune confidence thresholds, and validate edge cases.
Deploy across channels, monitor conversations, iterate on quality, and expand capabilities over time.
Let's create a conversational AI agent that delights your users and automates workflows.
We build AI-powered customer support chatbots, internal knowledge assistants, lead qualification bots, e-commerce shopping assistants, and multi-channel conversational agents using LLMs with custom knowledge bases.
Chatbot development at MicrocosmWorks ranges from $20-$45/hour, covering conversation design, LLM integration, knowledge base setup, channel integration (web, Slack, Teams), and ongoing training and optimization.
Yes, we build documentation chatbots using RAG architecture that indexes your docs, support articles, and knowledge base into a vector store, then generates accurate answers with source citations and seamless handoff to human agents when needed.
We implement sentiment detection, confidence scoring, and topic-based routing rules that automatically escalate conversations to human agents when the bot cannot confidently answer, while preserving full conversation context for the agent.
Yes, we integrate chatbots with Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, and other platforms so conversations are logged, tickets are created automatically, and customer context is available throughout the interaction.