The media companies that thrive in the streaming era are those that can produce more content efficiently, understand their audiences deeply enough to make better commissioning decisions, manage the complexity of multi-territory rights without expensive specialist teams, and monetize every audience segment through the right combination of subscription, advertising, and licensing channels.
Six AI media & entertainment workflows
Content Production Assistance
Assists content production — script coverage and notes, localization and subtitling, metadata generation, promotional asset creation, and post-production workflow support — reducing the time and cost of content preparation without replacing the creative judgment that drives production quality. ↓35% content production support costs from AI-assisted production workflows.
Rights & Royalty Management
Manages content rights across territories, windows, and platforms — tracking license agreements, calculating royalty obligations, identifying rights gaps, and processing royalty statements. ↓60% rights administration time and ↓40% royalty calculation errors from AI-powered rights management versus manual contract database and spreadsheet calculation processes.
Audience Analytics
Analyzes viewing behavior, engagement patterns, completion rates, and audience segmentation — generating the content performance intelligence that informs commissioning decisions, scheduling strategy, and marketing spend allocation. Media companies using AI audience analytics see ↑25% improvement in new content performance versus gut-based commissioning decisions.
Content Recommendation
Powers personalized content recommendation systems that surface the right content for each viewer across genres, formats, and viewing contexts — improving engagement, reducing churn, and maximizing the utilization of content library assets that otherwise underperform in discovery-driven platforms. ↑30% viewing hours per subscriber from AI-personalized content recommendation.
Ad Sales Optimization
Optimizes advertising inventory pricing and placement — matching advertiser targeting requirements to audience segments, dynamically pricing inventory based on demand signals, and improving fill rates across programmatic and direct-sold inventory. ↑18% advertising revenue per impression from AI-optimized ad sales versus static rate card and manual trafficking approaches.
Streaming Monetization
Optimizes streaming subscription and hybrid business models — churn prediction and retention intervention, optimal pricing by market and segment, bundle configuration analysis, and winback campaign targeting — maximizing subscriber lifetime value across the complex multi-tier product architectures that most streaming services now operate.