Agentic BI
An intelligence layer that combines your numbers with the context in your documents, tickets, and emails to explain, in plain English, why something happened and what to do about it.
Ask Your Business Questions and Get Answers, Not Reports
The challenge
Your dashboards tell you what happened. Finding out why, and what to do next, means cross-checking reports, reading tickets, and building a deck, and that takes days.
Our answer
Agentic BI connects the numbers in your systems with the context in your documents and answers business questions in minutes, with every figure traceable to its source.
- Natural language
- Traceable figures
- Suggested action
How we start
- 01We pick a priority use case
- 02We take it to production with accuracy evaluations
- 03We scale to new areas as it proves its return
What it looks like in your industry
Why did sales drop in the Northern region in September?
The decline is concentrated in three products.
It lines up with a rise in tickets about delivery delays in that area.
Review the region's logistics provider.
Which clinics have the most patient complaints this quarter, and why?
Two clinics account for most of the complaints.
The comments cluster around wait times for follow-up appointments.
Adjust those clinics' schedules at peak hours.
Which routes miss delivery times most often?
Three routes explain most of the delays.
The delays line up with warehouse shift changes.
Reschedule afternoon dispatches on those routes.
Illustrative example
Our process
Plain-English Questions
Your team asks questions the way they would ask an analyst and gets exact figures, an explanation, and a recommendation in minutes.
Exact, Auditable Numbers
Metrics are calculated with SQL queries against your ERP, CRM, or data warehouse. Every figure shows exactly where it came from.
Context from Documents and Tickets
AI reads emails, customer complaints, surveys, and PDFs, groups them into themes, and links them in a graph of business relationships to surface patterns no one is seeing today.
Hidden Trend Detection
Machine learning models spot segments, anomalies, and shifts in behavior before they show up on your dashboard.
Agents That Orchestrate the Analysis
Agents built with LangGraph decide which sources to query, combine quantitative and qualitative data, and deliver a complete answer.
Actionable Recommendations
Every answer ends with a suggested action, so analysis turns into a decision instead of another report.
What we've achieved
Projects like *Parallel Analytics*, where we modeled an e-commerce sales system in Snowflake and productized the data as an advanced reporting service, and *CompetitivAG*, where we designed the data governance and advanced analytics strategy, are the foundation of Agentic BI: trustworthy data that AI can reason over. This experience lets us take your company from static dashboards to intelligent answers.
