How Scale AI answers ~1,900 data requests per week across Ops, Finance, Growth & HR

Finance pulls from Snowflake billing tables, procurement software for BPO invoices, and AWS/GCP billing for infrastructure costs. These three systems rarely agree with each other, and reconciling them was a recurring time sink.

A question like “what’s our spend efficiency across campaigns?” required joining billing actuals against invoice line items against cloud compute, then defending the number in front of leadership.

Ana handles the cross-system join in a single query. Finance now runs campaign-level spend tracking, budget variance analysis, and cost allocation across programs without filing a ticket. The questions that matter most to the CFO’s office get answered in the meeting where they come up, not a week later.

Growth tracks delivery metrics, free-trial conversion, and marketplace performance across Snowflake ETL pipelines, CRM data, and snapshot views that capture point-in-time funnel states.

The hard questions were never about any one system. They were about correlations across all three: “how do week-over-week delivery metrics relate to pipeline movement in the CRM, and where are free-trial conversions stalling?”

Ana reads the ETL schemas, understands the CRM object model, and reconciles snapshot timing differences automatically. Growth built playbooks that refresh weekly and deliver results into Slack channels. The team went from requesting reports to owning their analytics workflow entirely.

Supply ops manages contributor availability across a 73-country marketplace. Their data lives in Snowflake ETL tables, task and delivery tables tracking contributor output, and demand forecasting models.

The question is always some version of “do we have enough contributors with the right skills in the right regions for what’s coming in three months?” Answering it means joining availability data with task completion rates with forward-looking demand signals.

Ana runs those joins and produces capacity projections by region, skill type, and program. Ops uses it to flag constraints before they become delivery problems. The dashboards refresh automatically instead of requiring a manual pull every time leadership asks for an update.

HR operates across their HRIS for headcount and contributor data, a performance management platform for reviews, and a workforce administration system for HR operations. Each system has its own ID schema and its own definition of “active.”

A question like “contributor retention by region” used to mean pulling from all three, reconciling the mismatches, and hoping the numbers held up in review.

Ana maps across the systems and handles the reconciliation. HR now runs retention breakdowns, workforce allocation analysis, and planning queries that inform hiring decisions on demand.