# NextProc (AI/LLM Friendly Overview)

## What is this?
NextProc is a Next Generation Process Intelligence Platform. It models processes as a semantic graph of:
- BusinessProcess (LOD0–1)
- BusinessAction (LOD2)
- DecisionRule / Policy / Role / BusinessObject (LOD3)

Unlike static BPMN diagrams, nodes and edges represent meaning (e.g., PRECEDES, GOVERNED_BY, APPLIES_RULE, PERFORMED_BY, USES).

## Why it matters
- Change impact analysis: when a policy/rule changes, trace affected actions automatically.
- AX/Automation reasoning: rank actions by automation readiness scoring.
- Google-Maps-like navigation: LOD controls information density by zoom or lock.
- Governance: connect actions to policies/rules/data/roles with explicit semantics.

## Key UX features
- Auto Align layout + lane-based context placement (Role/Object left, Policy/Rule right)
- Collision avoidance for cleaner graphs
- Node position persistence (manual + auto align)

## AI Agent Integration (MCP)
- MCP Server endpoint: /mcp (Streamable HTTP, JSON-RPC)
- Enables AI agents (Claude/ChatGPT) to read, analyze, and update processes programmatically
- Use cases: natural language process updates, system integration, automated compliance tracking

## Where to read more
- Agent guide: /agent
- Full LLM doc: /llms-full.txt