AI Governance for Media & Communication
One platform for secure model access, cost control, and full audit visibility — so lending, fraud, trading, and advisory teams can adopt AI with compliance and audit built in.
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Sound Familiar?
Media and communication platforms ship AI features fast — and most have no consistent way to govern what those features cost, say, or do with subscriber data.
When millions stream, scroll, or connect at once, even small latency increases drive churn and a spike in support volume.
Every new AI feature — support bots, content tagging, recommendations — gets its own pipeline and integration, delaying impact.
Without shared governance and usage visibility, AI spend becomes unpredictable the moment subscriber adoption takes off.
Generated copy, recommendations, and chat responses reach subscribers with no consistent check against editorial or community standards.
Viewing history, identity data, and account details flow into prompts with no inspection — a privacy and licensing exposure at scale.
Recommendations, moderation, and support all draw from the same model budget with no way to see which feature is driving the bill.
How It Works
OptScale AI sits in front of every model your platform uses — so recommendations, moderation, and support all ship through the same governed, low-latency path.
01
Point OptScale AI at your model providers, local LLMs, and content, identity, or CRM systems. No per-application SDK integration required.
02
Set moderation rules, editorial policy checks, and routing policies once — enforced automatically across every feature and region.
03
Bring agents already built for personalization, moderation, or support under cost limits, time limits, and a whitelist of authorized tools.
04
Track latency, usage, and cost per feature in real time. Optimize spend continuously as subscriber adoption grows, even at peak traffic.
Where Teams Use It
OptScale AI doesn't replace the agents and models your teams already run — it governs them, wherever they sit in your media ecosystem.
Govern recommendation agents with cost and latency budgets, so personalization scales without surprise model bills.
Apply configurable content and community-safety policy at the gateway, with every decision logged for review.
Let support agents use AI on subscriber accounts with guardrails that keep identity and billing data from reaching external models.
Benchmark models on the accuracy and latency churn workflows demand, before standardizing on one across the platform.
Track agent-driven ad targeting for cost, behavior drift, and unauthorized data access — all from one dashboard.
Generate a compliance-ready record of every AI interaction tied to lifecycle messaging, without building your own logging layer.
Start free with up to 5 seats, or talk to us about a deployment built for peak-traffic, subscriber-scale platforms.
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