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Christopher Bailey edited this page Feb 4, 2026
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Aether is a toolkit that helps organizations monitor and improve their business workflows. It uses AI to learn how your processes normally behave and then alerts you when something unusual happens. This makes it easier to keep operations running smoothly and comply with policies.
- Learns typical patterns from your event logs (e.g., purchase orders, invoices, shipments).
- Predicts the next expected step in a process and highlights deviations.
- Provides early warnings for fraud, errors or inefficiencies.
- Supplies human-readable explanations and confidence scores to build trust in AI-driven actions.
- Reduce risk: Identify anomalies in real time to prevent costly mistakes or non-compliance.
- Improve efficiency: Understand bottlenecks and streamline workflows based on data-driven insights.
- Enhance governance: Gain visibility into AI agents’ decisions, ensuring they follow your business rules.
- Connect your data. Export logs from your ERP or process-management system (e.g., SAP, NetSuite) and feed them into Aether.
- Train the model. Aether analyzes past sequences to understand typical patterns. No manual labels are required.
- Monitor live operations. As new events occur, Aether predicts the next step and compares it to the actual action.
- Review alerts. When a mismatch or high-risk scenario is detected, Aether raises an alert with context and a confidence score.
- Install and run the Aether server according to the repository’s instructions.
- Prepare a sample dataset from your business workflow.
- Use the provided examples to train a model on your data.
- Integrate Aether into your tools using the built-in MCP server or the command-line interface.
For technical details, please refer to the README and example notebooks in this repository.