top of page

Case Snapshot

GTF, a global education and certification institute, struggled with fragmented data across multiple teams and platforms. The Internal Reporting AI Agent was built to gather data from Notion, CRM and Sheets, organize it into KPI dashboards and deliver weekly summaries to management automatically.

Result: reporting workload dropped by 80% in one month, leadership gained full visibility across departments.

Automating Reporting and KPIs for GTF

The Challenge

GTF's operations team managed data across 5+ departments, each using different tools: Notion for project tracking, CRM for student enrollment, Google Sheets for financial metrics. Weekly reporting required:

  • Manual data collection from Notion, CRM, Sheets and other sources.

  • Validation and formatting to ensure consistency.

  • Building reports and dashboards for each department.

  • Consolidating metrics into executive summaries.

  • Distributing reports to department heads and leadership.

Average time per weekly report cycle: 12-15 hours. Data inconsistencies were common. Leadership decisions were delayed waiting for updated numbers. The team spent most of their time gathering and formatting data instead of analyzing trends and supporting strategic decisions.

WANT VACATION?

Solution Developed & Integrated

The AI Agent was developed to automate the full reporting cycle within GTF's existing systems:

  • Connects to Notion, CRM, Google Sheets and other data sources.

  • Extracts relevant metrics based on predefined KPIs for each department.

  • Validates data for consistency and flags anomalies for review.

  • Organizes metrics into department-specific dashboards.

  • Generates executive summaries with key trends and changes.

  • Delivers reports automatically on schedule (weekly, monthly or on-demand).

  • Updates dashboards in real-time as source data changes.

The agent runs continuously. Complex analysis and strategic recommendations still come from the operations team.

How It Works

  1. Agent connects to data sources (Notion, CRM, Sheets) on schedule.

  2. Extracts metrics: enrollment numbers, project status, financial performance, completion rates.

  3. Validates data against expected ranges, flags outliers.

  4. Organizes metrics into department dashboards (Admissions, Operations, Finance, Academic Programs).

  5. Generates executive summary highlighting week-over-week changes.

  6. Delivers reports to leadership via email and updates live dashboards.

  7. Process completes automatically every Monday morning.

The entire reporting cycle runs without manual data gathering. The team reviews flagged anomalies and adds strategic context when needed.

Impact

First month:

  • Reporting workload: 12-15 hours per week to 2-3 hours (80% reduction).

  • Data consistency improved, validation errors dropped by 65%.

  • Leadership receives updated dashboards every Monday without delays.

  • Real-time dashboard access replaced waiting for weekly reports.

  • Team shifted focus from data gathering to trend analysis and strategic support.

Willing to learn more details?

Robotic hand reaching out to assist with AI business automation

WANT VACATION?

bottom of page