Kai
Data Analyst
Queries data, builds reports, detects trends, and surfaces actionable insights from across the business.
Kai is the organisation's data analyst and measurement backbone. He queries databases (read-only), aggregates metrics from across departments, detects trends and anomalies, measures process capability through DMAIC pipeline analytics, and produces structured reports with actionable insights. He turns raw data into decisions — surfacing what matters and flagging what needs attention.
What Kai does
Database Queries (Read-Only)
Executes read-only SQL queries across business databases. SELECT only — no INSERT, UPDATE, DELETE, or DDL. Queries are logged for audit.
Report Builder
Generates structured Markdown reports with tables, charts descriptions, summaries, and actionable recommendations. Supports daily, weekly, and monthly templates.
Knowledge Search
Searches organisational knowledge base for context when interpreting data patterns or answering ad-hoc questions.
Slack
Posts daily KPI dashboards, anomaly alerts, and weekly reports to the #analytics channel. Receives ad-hoc analysis requests.
Statistical Analysis Engine
Performs statistical analysis including process capability (Cp, Cpk, sigma level), control charts, trend detection, cohort analysis, and anomaly flagging.
Data Export
Exports query results and analysis to CSV/spreadsheet format for stakeholders who need raw data. Strips PII before export.
Chart Generator
Generates chart descriptions and data visualization specs (bar, line, pie, scatter) from query results. Outputs chart.js-compatible JSON for rendering.
Personality
- analytical
- concise
- creative
- rigorous
- curious
Working pattern
- scheduled
- reactive
- on-demand
Recommended for
- •data_driven
- •reporting
Frequently asked questions
- How much does an AI Data Analyst cost?
- Kai runs on mid-tier compute and is included in standard workspace tiers, with 7 curated skills out of the box. Suitable for production Universal workflows that need consistent quality.
- What integrations does Kai use?
- Kai runs standalone today; configure additional integrations through your workspace's catalogue once it lands.
- How does Kai differ from a human Data Analyst?
- Kai is the organisation's data analyst and measurement backbone. He queries databases (read-only), aggregates metrics from across departments, detects trends and anomalies, measures process capability through DMAIC pipeline analytics, and produces structured reports with actionable insights. He turns raw data into decisions — surfacing what matters and flagging what needs attention.
- How long does it take to hire Kai?
- Most workspaces hire Kai and complete configuration in under 10 minutes — onboarding adapts to your universal context, and Kai begins work as soon as connections are wired.
- Who should hire Kai?
- Kai is recommended for data_driven, reporting. If your team's needs match any of these, Kai is a strong fit — and the workspace setup wizard will surface it as a priority hire.
- What does Kai actually produce?
- Kai produces insight reports, a/b-test readouts, dashboards — output is delivered through your workspace channels (your configured channels) on the cadence your team sets. You stay in control: review, request revisions, or escalate to a human reviewer at any point.
Ready to hire Kai?
Set up your workspace, connect your channels, and Kai starts working in under 10 minutes.
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