Capability
Process Automation
AI agents that take over repetitive workflows. Built with structured rules, tool access, and human oversight where it matters.
Overview
AI agents operate within a structured state machine: defined steps, decision points, and human approval gates on high-stakes actions. A single agent might query an ERP, draft a purchase order, and route it for sign-off. A multi-agent system can chain a researcher, an analyst, and a coordinator across tools and data sources. Every run is logged, auditable, and resumable across sessions.
How It Works
State Machine Architecture
Each agent follows a directed graph of steps with explicit inputs, outputs, and branching conditions. Predictable behavior that can be audited, not a black box.
Tool Use & Function Calling
Agents interact with existing systems: querying databases, calling APIs, generating documents, updating records. Typed schemas and retry logic ensure reliable execution across models.
Human-in-the-Loop
For actions above a defined threshold, the agent pauses, presents its reasoning and proposed action, and waits for human approval before proceeding.
Memory & Persistence
Short-term conversation memory, long-term vector retrieval, and structured state in PostgreSQL. Context carries within and across sessions.