AI is only as accurate as its data
Before an AI analyst is connected, the data has to be linked, validated and accessible by the rules. That is what we do.
01Builder
Sketch your data architecture
Pick sources and goals — the diagram appears on the right straight away: sources, pipeline, warehouse, BI and outputs.
Preliminary architectureNodes: 8
- CRM → ETL · ELT
- ERP · 1C → ETL · ELT
- External API → ETL · ELT
- ETL · ELT → Data quality checks
- Data quality checks → Data Warehouse
- Data Warehouse → AI analyst, Alerts
- AI analyst
- Alerts
SOURCES CRM · ERP · 1C · External API PIPELINE 3 connectors · Scheduled / incremental loads · Deduplication · validation · reference data STORAGE Data Warehouse (PostgreSQL or ClickHouse by volume) OUTPUTS AI analyst · Alerts
This is a preliminary outline. The architecture may change once we look at your sources.
02Data for AI
What AI needs from data
Clear field names and descriptions, freshness, row-level access rights and a log of what data the agent has seen.
Data is ready — need the AI agent itself?
AI agentsAgentZone03Contact
Let’s look at your data
Five questions and you get a preliminary data architecture and a first step. Or just write to us.
Preliminary data architecture
Step 1 of 6