Natural language queries
Ask questions like 'what was our churn rate last quarter by segment?' and get accurate answers with the underlying query shown for verification.
Services
AI Analytics Agent
Ask your data questions in plain English
An AI analyst that connects to your databases, understands your metrics and answers questions, generates reports and spots anomalies — without writing SQL or waiting for the BI team.
- Natural language data queries
- Automated report generation
- Anomaly detection and alerts
- Predictive analytics and forecasting
- Connects to any data source
What this engagement covers
Scoped to your situation — we start with what you already have rather than a fixed package.
Automated reporting
Scheduled reports generated, formatted and delivered to Slack, email or dashboards — no manual export-and-paste workflows.
Anomaly detection
AI monitors your key metrics and alerts you when something deviates from the expected range — before it becomes a problem.
Predictive forecasting
Time-series models trained on your data that forecast revenue, demand, churn and other KPIs with confidence intervals.
Data source integration
Connects to PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, Google Sheets and REST APIs — all in one unified query layer.
Insight summaries
Weekly AI-generated digests that highlight what changed, what matters and what to investigate — surfacing signals in the noise.
Small first, then scale what works
Six stages, with a decision point after the pilot. Nothing grows until it has shown value.
01
Workflow Audit
Understand the current manual process, systems, users, inputs and outputs.
02
Architecture
Choose the smallest practical automation architecture.
03
Pilot
Build one usable workflow.
04
Integration
Connect APIs, browser workflows, internal tools, databases, AI models or third-party systems.
05
Validation
Test reliability, edge cases, user approval and expected output.
06
Scale
Expand only after the pilot demonstrates value.
What you get
- AI analytics agent connected to your data sources
- Natural language query interface for your team
- Automated report templates and delivery schedules
- Anomaly detection with alerting thresholds
Tools we reach for
Chosen per project, not per habit. If your team already runs something that works, we build on it.
- Claude
- Python
- Pandas
- dbt
- PostgreSQL
- BigQuery
- Metabase
- Node.js
FAQ
AI Analytics Agent — common questions
The AI queries your data in place — it does not copy or store it. Connections use encrypted credentials, and we support VPC peering for sensitive environments.
Other things we build
Have a workflow in mind?
Tell us about the process. We'll review it and suggest the most practical next step.