The Future of Streaming Intelligence: Multi-Agent AI Framework Drives Strategic ROI

June 21, 2025

Multi-Agent Generative AI Framework for ROI-Driven Media Decisioning

(Isstories Editorial):- kolkata, West bengal Jun 20, 2025 (Issuewire.com) – New research unveils a comprehensive AI orchestration framework that promises to transform strategic decision-making processes for media companies, delivering measurable improvements in return on investment across streaming operations.

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Here are the key insights:

1. What is the paper about?

The paper presents a comprehensive evaluation of ROI elements across OTT analytics platforms and proposes a multi-agent orchestration framework to optimize business processes.
It maps the complete OTT business lifecycle and introduces an AI-driven approach to maximize ROI across the media value chain.

2. The OTT Business Lifecycle

The research maps the complete OTT analytics lifecycle through 4 interconnected stages:

Audience Acquisition & Marketing (tracking CAC, conversion rates)
Content Portfolio & Licensing (content investment vs. performance)
Engagement & Personalization (user behavior, satisfaction)
Retention & Monetization (churn, ARPU, lifetime value)

3. Multi-Agent Orchestration Framework

The proposed architecture features specialized AI agents that collaborate under an AI Orchestrator:

Audience targeting agents
Content valuation agents
Personalization agents
Forecasting agents

4. ROI Analysis & Benefits

The paper demonstrates how transforming siloed analytics into a cohesive AI-driven decision system delivers:

Improved agility in responding to market trends
Finely tuned personalization strategies
More efficient allocation of content and marketing spend
Higher ROI on every dollar invested

5. Generative AI & Media

The research explores cutting-edge applications of generative AI in media:

AI-assisted content creation
Advanced personalization
Operational automation
Marketing optimizations
Localization and metadata enrichment

6. AI Governance

For media companies, adopting AI is not just a technical decision but a socio-ethical one. The study emphasizes strong governance frameworks to ensure:

Transparency
Fairness
Protection of creative rights
Consumer trust
Sustainable AI implementation

7. Future Roadmap

Research opportunities identified include:

Prototype simulations of multi-agent systems to quantify ROI improvements
Studies on user acceptance of AI-optimized experiences
Longitudinal research on AI governance in media companies
Exploring generative AI’s role in content ROI

As competition intensifies in the streaming sector, platforms that leverage AI as agents for action will create more responsive, efficient, and innovative services that delight audiences and satisfy stakeholders equally.

Paper Link: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5258226