AI Automation · Agentic AI
AI that does the work, with humans firmly in the loop
- n8n
- LangGraph
- MCP
- Vector search
- RAG
- REST & GraphQL APIs
- Webhooks
- OCR
How an agent runs
Five steps, one of which is a person
Step four is the one that makes the rest usable in a business. An agent that cannot be stopped before it acts is a liability, not an efficiency.
-
01
Trigger
Event, message or schedule
-
02
Reason & retrieve
RAG + vector search over your data
-
03
Act via tools
APIs, n8n, MCP, your products
-
04
Human approval
Sign-off before anything critical
-
05
Audit log
Every step recorded & reviewable
Capabilities
What we build with AI
Business-specific AI assistants
Assistants trained on your products, data, and tone — not a generic chatbot.
Agentic AI workflows
Multi-step agents that plan, call tools, and complete real tasks end to end.
RAG knowledge assistants
Answers grounded in your documents with citations and vector search.
Document understanding
OCR, extraction, and classification that turn paperwork into structured data.
Customer support bots
Deflect routine tickets and hand off cleanly to humans when needed.
Internal staff copilots
Give every team a copilot for the systems and SOPs they use daily.
Workflow automation
Orchestrated with n8n, LangGraph, MCP, vector search, and your APIs.
Human approval workflows
Keep a person in the loop for anything sensitive or irreversible.
Audit-ready automation
Every action logged, reviewable, and explainable for compliance.
Where teams start
The automations that pay for themselves first
- Business AI assistants
- Agentic AI workflows
- RAG knowledge copilots
- Document understanding
- Support & staff bots
- Audit-ready automation