Cost IQ
Spend data to cost intelligence
Analyzes production and media spend to surface cost-saving opportunities and benchmarks.
Spend data to cost intelligence
Media companies lack real-time visibility into where money leaks across production.
AI-powered cost analysis that benchmarks spend and flags anomalies instantly.
Integrated with ERP and production finance systems out of the box.
Identifies 15–20% in recoverable cost within the first quarter.
Capabilities In The Box.
Automated Data Ingestion
Single upload point for daily production reports and weekly hot cost sheets in any format — Excel, PDF, or handwritten timecard scans processed via OCR. All data parsed, classified, and stored automatically.
Discrepancy Detection Engine
Every daily timecard cross-referenced against the weekly hot cost sheet automatically. Mismatched hours, rates, and totals flagged before they compound. Full audit trail of every rule that fired.
Real-Time Budget Dashboard
Labor budgets set by department, position, or individual. Actual spend tracked against budget in real time across production labor, standby, facilities, and materials. Multi-week trend view identifies recurring overages.
Rules Engine
Cost classification rules managed in plain language — map departments, positions, and individuals to accounts with no technical setup. Rules are editable, auditable, and applied consistently across every upload.
AI Narrative Reports
Weekly labor overviews generated automatically — cost deltas, trend highlights, and variance summaries written in plain language. The report is ready when the data is uploaded.
Conversational Query Interface
Ask questions about production costs in plain language and get instant answers from the actual data. Why did an account run over? Where were reimbursements unusually high? The system answers from source data.
How It Actually Works.
Built on your existing data formats
CostIQ works with the files your team already produces — daily production reports, weekly hot cost sheets, existing account mapping logic. No new data infrastructure, no format changes, no migration.
Human review stays in the loop
Every discrepancy surfaces for human review before resolution. Every rule application is logged and auditable. The system flags and recommends — the accounting team decides.
Gets smarter with every week
Every resolved discrepancy, approved exception, and rule update improves future classification accuracy. Patterns identified by the AI become more precise as more production data flows in.