Enterprise AI Consulting
Architecture, governance and operations for AI in the enterprise — from MVP to IAOps in production
- Enterprise AI architecture and adoption strategy
- Multi-agent systems and agentic workflows (Vibe Coding)
- Integration with enterprise MCPs and internal tooling
- IAOps: pipelines, observability and model governance
- LLM model deployment on Kubernetes with GPUs (vLLM, Ollama, Triton)
- AWS Bedrock, OpenAI, Anthropic, Mistral, Llama — multi-model management
- Spec-Driven Development and patterns for AI projects
- OpenWebUI, Codex, Claude Code and internal AI platforms
- RAG, context engineering and corporate knowledge bases
- Process optimization and AI-driven automation
- AI security, compliance and operating cost