Automate data ingestion, KPI calculations, dashboard assembly, and report delivery across Google Sheets, databases, OpenAI, Slack, and Gmail.
The AI agent automatically ingests data from Google Sheets, PostgreSQL/MySQL databases, and external APIs, then normalizes and consolidates it for analytics. It computes KPIs, performs trend analyses, and generates visual dashboards tailored to stakeholder needs. It distributes formatted reports via Gmail and can notify stakeholders through Slack, completing the full cycle from data to decisions.
Delivers end-to-end BI reports with automated data handling and delivery.
Ingest data from Google Sheets, PostgreSQL/MySQL, and external APIs.
Transform data to compute KPIs and generate trend analyses.
Generate natural language insights and anomaly alerts using GPT-4o.
Populate dashboard templates with KPI visuals and branding.
Distribute formatted reports via Gmail with embedded charts and recommendations.
Log deliveries and monitor pipeline status in a centralized log.
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple 3-step flow that non-technical users can follow.
Collect data from Google Sheets, PostgreSQL/MySQL databases, and APIs, then normalize fields for consistency.
Compute KPIs, run trend analyses, and generate AI-powered insights or anomaly alerts.
Populate branded dashboards and automatically email reports via Gmail to recipients, with Slack notifications as needed.
A realistic scenario showing timing, sources, and outcomes.
On Friday at 8:00 AM, the AI agent ingests data from Google Sheets and a PostgreSQL database, computes weekly KPIs and YoY trends, populates the executive dashboard template with charts and summaries, and emails the report to the leadership team with embedded visuals and recommendations.
Roles that gain value from automated BI reporting.
Need concise YoY summaries and KPI insights for strategic decisions.
Wish to consolidate data sources and generate narratives automatically.
Track KPIs across departments without manual prep.
Verify KPI calculations and enable timely financial reporting.
Monitor campaign metrics and funnel progression with automated reports.
Keep projects on track with KPI dashboards and risk indicators.
Core tools connected to the AI agent for end-to-end automation.
Ingests source data from specified spreadsheets and IDs; supports scheduled refreshes.
Executes read-only queries to fetch data for KPI calculations.
Generates KPI insights, narratives, and anomaly alerts.
Emails formatted dashboards and reports to recipients with embedded visuals.
Posts brief summaries or alerts to designated channels.
Stores reports and templates for versioning and access control.
Practical scenarios that demonstrate the AI agent’s value.
Common questions with practical, detailed answers.
It can ingest Google Sheets, PostgreSQL/MySQL databases, and external APIs. Data can be refreshed on a schedule or triggered by webhooks. The agent handles normalization and deduplication, providing a clean, unified data model for KPI calculations.
The agent uses read-only access to databases and OAuth-secured connections for Google and Gmail. Credentials are stored securely and access controls can be configured per user or team. Audit logs track data access and delivery activity.
Yes. You can modify templates, adjust KPI definitions, and tailor insights language to match your brand and stakeholder needs. Custom dashboards can be created for executives, departments, and detailed analytics, with role-based access control.
The agent supports scheduled runs and, where sources provide streaming capabilities, near-real-time ingestion can be configured. Anomaly detection and alerting can be tuned for latency versus accuracy, depending on your data sources.
Reports are generated from templates, formatted with visuals, and sent via Gmail to predefined recipient lists. Deliveries can be batch-scheduled or triggered by events, and Slack channels can receive summaries as an optional notification.
Yes. You can pause, resume, or reconfigure data sources, KPI definitions, and delivery schedules. Changes can be versioned and tested in a staging environment before going live.
If a source is temporarily unavailable, the agent skips that source for the current run, logs the incident, and continues with available data. It sends an alert to designated recipients if critical sources fail, and retries according to a configurable policy.
Automate data ingestion, KPI calculations, dashboard assembly, and report delivery across Google Sheets, databases, OpenAI, Slack, and Gmail.
