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.

01 · Tasks
02 · Data sources
03 · Actions
04 · Autonomy
Preliminary architectureNodes: 6
Preliminary AI agent architecture for the selected options
  1. Employee → Agent runtime
  2. Agent runtime → Guardrails · audit, LLM, Database · DWH, CRM
  3. Guardrails · audit
  4. LLM
  5. Database · DWH
  6. 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 WarehouseDataZone
04Contact

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

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