Integration

When a new tenant is onboarded, Autonomy performs a full extraction of master data and transactional history from the source ERP. This includes material masters, plant configurations, BOM structures, vendor and customer records, inventory levels, open orders, shipments, and 2+ years of demand history.

Data lands first in a staging schema isolated per tenant and ERP source. This isolation ensures that one tenant's data never mixes with another's, and that different ERP formats are normalized before entering the shared Autonomy data model.

During staging, AI-enhanced validation runs automatically: custom Z-fields from SAP are interpreted, fuzzy matching maps non-standard field names to the Autonomy schema, and data quality issues are auto-fixed where possible. The result is a clean, complete dataset ready for agent training, the initial write into the shared world model.

After initial provisioning, Autonomy stays synchronized with your ERP through scheduled CDC. Only changed records are extracted, typically achieving a 99.5% reduction in data volume compared to full re-extraction.

The CDC pipeline follows the same path: ERP changes land in the tenant's staging schema, pass through AI validation, and are ingested into the Autonomy database. This runs on a configurable schedule, typically daily for master data changes and hourly for transactional updates.

CDC serves a dual purpose: it keeps the planning data current, and it feeds the agent retraining loop. When CDC detects that incoming data has drifted from the patterns the agents were trained on, demand shifting more than 15% from forecast, lead times increasing 30% above baseline, service levels dropping, it triggers automatic agent retraining.