Build an AI Dashboard for Real-Time Operational Insights

Professional services firms run on data scattered across silos. Your sales pipeline is in HubSpot, project financials are in QuickBooks, and billable hours are in a separate time-tracking tool. The built-in dashboards for these tools are useless for cross-functional insight. HubSpot knows your pipeline value, but it has no idea what your team's current utilization rate is.

To get a complete picture, an operations manager or junior consultant spends hours every week manually exporting CSVs. They paste everything into a massive spreadsheet to answer fundamental questions like, "Which of our active projects are at risk of going over budget?" This manual process is slow, expensive, and riddled with copy-paste errors. By the time the report is finished, the data is already 48 hours old.

Business Intelligence tools like Tableau or Power BI promise a solution but introduce their own complexity. They require a dedicated data engineer to build and maintain the connections, a cost most 5-50 person firms cannot justify. The pre-built connectors are often rigid, and if one of your critical data sources isn't supported, you are back to manual CSV uploads.

The structural problem is that these off-the-shelf tools are built for functional departments, not for the project-centric reality of a professional services business. Your firm's core operational unit is the project, which cuts across sales, finance, and delivery. No single SaaS tool provides this unified view, forcing you into a cycle of manual reporting that consumes over 250 hours of labor per year.

The engagement would begin with a thorough audit of your existing data sources. Syntora would map out the APIs for your CRM, accounting software, and time-tracking tools to define a unified data model. We would work together to identify the 3-5 critical operational questions the dashboard must answer to be valuable, such as real-time project margin or team utilization rates.

A series of AWS Lambda functions would be written to fetch data from each source on a regular schedule, typically every hour. This data is then cleaned, transformed, and loaded into a central Supabase database, which provides a stable, queryable foundation. A FastAPI application would serve the aggregated data to the frontend, ensuring the dashboard is fast and responsive. This architecture is built entirely with production-grade Python tools.

The delivered system is a secure, private web application hosted on Vercel that your team can access from anywhere. It would display key metrics like project budget vs. actuals, team availability, and client profitability in real-time. You receive the full source code, infrastructure configuration, and a runbook detailing how to maintain the system. The underlying cloud infrastructure you control typically costs under $50 per month to operate.