AI Agents & Enterprise Chatbot Development
Enterprise AI assistants, autonomous multi-agent systems, RAG-powered knowledge search, and voice AI — production-ready.
AI Agents are autonomous software systems that use large language models to plan, reason, and execute multi-step tasks — accessing tools, APIs, and knowledge bases to complete goals that previously required human judgment. AI Chatbots are conversational interfaces that handle structured, high-volume interactions at scale.
Norvik builds AI agents and chatbots that go beyond the generic question-answer interface. Our agent systems can execute multi-step workflows, access your internal knowledge bases via RAG, call APIs, and hand off to humans at defined decision points. We use LangChain, CrewAI, and AutoGen for complex multi-agent orchestration, and pair every deployment with comprehensive logging and human oversight controls required for enterprise production.
What's included in AI Agents & Chatbots
Enterprise AI Assistants
AI assistants embedded in your internal tools — Slack, Teams, or custom portals — that answer questions, summarise documents, draft content, and execute routine tasks on behalf of your team.
AI Chatbots
Conversational AI for customer service, onboarding, support, and internal help desks — with intent detection, multi-turn context, escalation logic, and CRM integration.
AI Agents
Autonomous AI agents that execute multi-step workflows — researching, drafting, submitting, and following up — with tool use, memory, and human-in-the-loop checkpoints at high-stakes decision points.
Voice AI
Voice-based AI interfaces using OpenAI Whisper for transcription, ElevenLabs or Deepgram for synthesis, and custom LLM logic for intent handling — for call centres, field operations, and hands-free workflows.
RAG & Knowledge Search
Retrieval-Augmented Generation systems that give AI models accurate, cited access to your internal documents, knowledge bases, and data — eliminating hallucination on proprietary information.
Our delivery process
A proven four-phase methodology that takes you from first conversation to production AI — with full accountability at every step.
Define
Use case scoping: what task does the agent perform, what tools does it need, where are the human oversight checkpoints, and what constitutes a successful completion.
Architect
Agent architecture design: LLM selection, tool catalogue, memory strategy, orchestration pattern (single agent vs. multi-agent), RAG pipeline design, and safety guardrails.
Build
Iterative agent development with evaluation at every sprint. Red-teaming for prompt injection and safety. RAG pipeline tuning for retrieval precision and hallucination rate.
Launch
Production deployment with full logging of every agent action, cost dashboards, performance monitoring, and escalation paths. Compliance documentation for regulated environments.
Define
Use case scoping: what task does the agent perform, what tools does it need, where are the human oversight checkpoints, and what constitutes a successful completion.
Architect
Agent architecture design: LLM selection, tool catalogue, memory strategy, orchestration pattern (single agent vs. multi-agent), RAG pipeline design, and safety guardrails.
Build
Iterative agent development with evaluation at every sprint. Red-teaming for prompt injection and safety. RAG pipeline tuning for retrieval precision and hallucination rate.
Launch
Production deployment with full logging of every agent action, cost dashboards, performance monitoring, and escalation paths. Compliance documentation for regulated environments.
Define
Use case scoping: what task does the agent perform, what tools does it need, where are the human oversight checkpoints, and what constitutes a successful completion.
Architect
Agent architecture design: LLM selection, tool catalogue, memory strategy, orchestration pattern (single agent vs. multi-agent), RAG pipeline design, and safety guardrails.
Build
Iterative agent development with evaluation at every sprint. Red-teaming for prompt injection and safety. RAG pipeline tuning for retrieval precision and hallucination rate.
Launch
Production deployment with full logging of every agent action, cost dashboards, performance monitoring, and escalation paths. Compliance documentation for regulated environments.
Technology-agnostic.Outcome-obsessed.
We select tools based on your requirements, not vendor relationships.
Agent Framework
- LangChain
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Assistants API
Vector DB
- Pinecone
- Weaviate
- Qdrant
Voice AI
- OpenAI Whisper
- ElevenLabs
- Deepgram
Common questions about AI Agents & Chatbots
Straight answers to the questions we hear most often.
Still have questions? Talk to our team
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