AI solution
AIBusinessIntelligenceAssistant
A private analyst that helps leadership ask better questions of business data.
Stage 01Route
Stage 02Route
Stage 03Route
Stage 04Report
Who it is for
Owners and leadership teams with useful data spread across tools but limited decision clarity.
Problem solved
Important signals are buried across spreadsheets, dashboards, campaign reports, and CRM exports.
How it works
Designed with clear guardrails, human handoff, and measurable purpose.
01
Connects approved data sources into a structured knowledge and reporting layer.
02
Lets leaders ask natural language questions about performance and operations.
03
Surfaces trends, anomalies, and recommendations with source visibility.
Example workflows
Where this assistant creates leverage.
- Revenue questions
- Campaign diagnosis
- Pipeline analysis
- Operational reviews
Integrations
Connected to the tools that already hold context.
Module
BigQuery
Module
Sheets
Module
CRM
Module
GA4
Module
Looker Studio
Module
Databases
Expected outcomes
Practical value, visible quickly.
- Faster insight
- More confident planning
- Less analyst dependency
- Clearer leadership rhythm
Implementation
A controlled AI deployment, not a vague experiment.
01
Map the use case, data sources, human handoff rules, and commercial success metric.
02
Design the conversation, workflow, permissions, and integration architecture.
03
Train, test, and deploy the assistant with guardrails, analytics, and escalation logic.
04
Review performance, improve prompts and workflows, and extend the automation where it proves value.