Data & Research

AI Agents for Data & Research

Extract insight from your data. Monitor the market. Stop building reports by hand.

Data is your most underused asset. It sits in databases, spreadsheets, and BI tools — and extracting insight from it requires technical skills most business teams don't have, or hours of manual work that nobody wants to do. We deploy agents that analyze your data in natural language, monitor external signals, and deliver intelligence automatically.

<10s
to answer a business data question
0h
manual report compilation
Daily
competitive intelligence delivered

Why is this still done manually?

  • Business leaders need data answers fast but depend on data analysts who have a 3-day queue
  • Market intelligence arrives too late — industry shifts are noticed weeks after they happen
  • Monthly financial and operational reports take 2–3 days to compile every cycle

Agent capabilities

  • Natural language querying: ask your database "What were our top 5 products by margin last quarter?" and get an answer in seconds
  • CSV, Excel, and database analysis without writing a single line of SQL
  • Daily industry news monitoring with AI-curated summaries delivered to your inbox
  • Competitive benchmarking: automated price, feature, and messaging comparison across competitors
  • Automated financial reports: actuals vs. budget, cash flow, top expense categories
  • Pattern detection: anomaly alerts when metrics deviate from expected ranges
The challengeClient situation

A retail chain with 12 locations compiles a Monday performance report for leadership every week. The process involves pulling sales data from their POS, inventory from their ERP, and customer data from their CRM — then merging everything in Excel, calculating KPIs manually, and formatting a PowerPoint. It takes one analyst a full day.

The solutionWhat we built

We deploy a reporting agent that connects to all three data sources, pulls the required metrics on Sunday night, calculates all KPIs automatically, formats the report to the company's template, and sends it to the leadership Slack channel by 7am Monday. The analyst's time is redirected to analyzing anomalies rather than building the report.

01
Data source audit & schema mapping
2–3 days
02
Agent build & query engineering
4–7 days
03
Report templates & delivery setup
2–3 days
04
Go live & validation
Week 2–3
GPT-5 Code InterpreterBigQuery / PostgreSQLGoogle Sheets / ExcelSlack / email

Want this agent in your business?

We'll schedule a 30-minute call to understand your case and design the right solution.