Build Intelligent Automation That Scales

n8n for rapid workflow automation

If a workflow can be built efficiently with n8n, I use n8n. It connects 400+ services, handles webhooks and schedules, and ships in days instead of weeks.

Python for complex business logic

If complex business logic is required, I build it with Python. Custom services, data processing pipelines, and integrations that go beyond what no-code tools can do.

UiPath for enterprise desktop automation

If enterprise desktop automation is needed, I use UiPath. Legacy systems, screen scraping, and RPA bots that operate where APIs do not exist.

AI Agents for reasoning and decisions

If AI reasoning is required, I build AI Agents using LangGraph, CrewAI, and OpenAI. Agents that understand context, use tools, and make decisions autonomously.

RAG for knowledge-grounded AI

If answers need to be grounded in your company data, I build RAG systems. Document ingestion, vector search, and cited answers that are accurate and verifiable.

Hybrid architecture for maximum flexibility

If maximum flexibility is needed, I combine multiple technologies. Python services orchestrated by n8n, AI agents calling custom APIs, RPA bots feeding data to RAG systems.

AI Agents Development

Custom AI agents that handle complex tasks autonomously — from customer support to data analysis and decision-making.

• Multi-step reasoning and planning
• Tool use and API orchestration
• Memory and context management
• Human-in-the-loop workflows
• Production deployment and monitoring

n8n Workflow Automation

Powerful workflow automation using n8n — from simple integrations to complex multi-step business processes with 400+ connectors.

• Custom n8n workflow design
• 400+ pre-built integrations
• Self-hosted or cloud deployment
• Error handling and retry logic
• Webhook and schedule triggers

RAG Systems

Retrieval-Augmented Generation systems that let your AI access your company's knowledge — documents, databases, and APIs — with accurate, cited answers.

• Document ingestion and chunking
• Vector database integration
• Hybrid search (semantic + keyword)
• Citation and source tracking
• Multi-source knowledge fusion

Enterprise AI Automation

End-to-end AI automation for enterprise — from process discovery to deployment, with security, compliance, and scalability built in.

• Process discovery and mapping
• AI-powered decision automation
• Integration with enterprise systems
• Security and compliance controls
• Scalable deployment architecture