Managers need conclusions
Not only charts, but a short explanation of what changed and why it matters.
AI analytics · BI with AI · automated insights
AI assistants for reports and business analytics
I build analytics systems where AI explains KPIs, finds deviations, answers questions about data and prepares clear summaries for managers.
01 When It Helps
When dashboards show numbers but do not explain the next action
AI is useful when the business has recurring questions: why a metric changed, where the issue is and what should be checked next.
Analysts repeat manual work
Weekly comments, variance checks and similar questions consume time.
Reports are hard to read
AI can help non-technical users understand metrics and filters.
A practical AI module is needed
Start with one business process, report or role instead of abstract AI experiments.
02 Scenarios
What AI can automate in analytics
Add AI to existing reports or build it together with a new BI portal or internal system.
AI KPI commentary
Automatic explanations of trends, plan-vs-actual variance and segment contribution.
- daily and weekly insights
- plan vs actual
- management comments
- plain-language explanations
Chat with reports
Users ask questions and AI helps find metrics, periods, segments and explanations.
- sales and finance questions
- report navigation
- KPI definitions
- quick summaries
Anomaly detection
Highlight unusual changes in sales, margin, inventory, requests or payments.
- period anomalies
- segment changes
- overdue control
- investigation hints
Reports and documents
Draft management comments, meeting summaries and explanations for files.
- report summaries
- text conclusions
- file explanations
- recurring templates
03 Process
Start with one narrow AI scenario
A focused use case with real data is the fastest way to make AI useful.
Use case
Select the exact AI task.
Data
Check sources, KPI definitions and access.
Prototype
Build the first prompt logic and interface.
Integration
Connect BI, databases, files or APIs.
Testing
Validate answers on real questions.
Launch
Deliver access, instructions and next steps.
04 FAQ
AI analytics questions
AI should be tied to data, roles and business logic.
What can an AI reporting assistant do?
Explain KPIs, find deviations, answer data questions and prepare management summaries.
Do we need existing BI dashboards?
No. AI analytics can start from a prepared data model and one use case.
Can 1C, CRM and Excel be connected?
Yes. They can be connected as data sources.
05 Contact
Tell me what AI scenario you want to test
Describe the reports, data and recurring questions your team has.