A question to the data, an answer in minutes
The agent builds the query, explains the deviation and attaches the query it used. Read-only access.
01Builder
Sketch your AI agent’s architecture
Pick tasks, sources, actions and the autonomy level — the diagram appears on the right: employee, agent, data, approval and actions.
Preliminary architectureNodes: 6
- Employee → Agent runtime
- Agent runtime → Guardrails · audit, LLM, Database · DWH, CRM
- Guardrails · audit
- LLM
- Database · DWH
- CRM
AGENT Reporting agent CONTEXT Database · DWH · CRM ACTIONS Read-only: answers and drafts CONTROL Acts within tool permissions · Role-based access to sources · Audit log of every tool call
This is a preliminary outline. The architecture may change once we review the process and the data.
02AI Analyst
Data first
The analyst is only as good as the metric and mart descriptions. If there is no warehouse yet, we start there.
Need to bring the data together first?
Data WarehouseDataZone04Contact
What do you want to hand to AI?
Describe the task in your own words, answer five questions and get a preliminary AI agent schema. Or just write to us.
Preliminary AI agent schema
Step 1 of 7