FreeWheel, the global technology platform that underpins much of the streaming advertising ecosystem, announced today the rollout of a new AI‑driven agent infrastructure. The offering, built around the company’s Model Context Protocol (MCP) server and a suite of “Intelligence” tools, is designed to embed artificial intelligence directly into the core of premium video transactions. By allowing AI agents to interact with FreeWheel’s platform in real time, the company says the solution will enable buyers and sellers to streamline workflows, make data‑backed decisions on the fly, and accelerate the pace at which campaigns are launched and optimized. Independent platform company PMG has been named as the first partner to pilot the technology, integrating it into its Alli marketing operating system for a limited set of clients.
A technical foundation for AI in ad transactions
At the heart of the announcement is the MCP server, a secure, low‑latency gateway that lets external AI agents communicate with FreeWheel’s ad‑tech stack. The server handles authentication, data exchange, and command execution, effectively turning the platform into a programmable interface for autonomous agents. Complementing the server are the “Intelligence” tools—software modules that continuously ingest performance metrics, inventory quality signals, and contractual commitments. These tools then surface insights, flag anomalies, and can trigger pre‑defined actions such as budget reallocations or inventory reservations without human intervention.
FreeWheel describes the combination as a shift from “traditionally manual, fragmented processes” to an “intelligent, always‑on execution” model. In practice, this could mean that a campaign’s pacing algorithm automatically adjusts spend across multiple supply sources as real‑time viewability data shifts, or that a buyer’s compliance engine instantly flags inventory that falls short of agreed‑upon quality thresholds. The underlying premise is that AI, when given direct access to the transactional layer, can move beyond reporting and become an active participant in the buying and selling cycle.
PMG pilots the infrastructure through Alli
PMG, a global independent platform company, is the first to test the new capabilities within its Alli system—a marketing operating platform that consolidates data, workflow, and analytics for video advertisers. By linking Alli to FreeWheel’s MCP server, PMG’s teams can query streaming performance data in near real time and execute decisions—such as pausing under‑performing line items or reallocating budget to higher‑yield inventory—directly from the Alli interface.
The pilot focuses on three core use cases:
- continuous monitoring of deal performance against KPIs,
- rapid identification of optimization opportunities across global campaigns,
- automated execution of adjustments with minimal latency.
According to PMG, the integration “advances its ability to deliver more intelligent, automated media buying strategies,” positioning the company to offer clients a level of agility that has previously required manual intervention and extended turnaround times.
Executive perspectives
“FreeWheel’s mission is to modernize how premium video is transacted, and that means embedding AI directly into the systems our clients rely on every day,” said Mark McKee, General Manager of FreeWheel. “With our MCP Server and Intelligence tools, we are creating a new foundation where AI can help buyers and sellers operate more efficiently, make smarter decisions, and unlock greater value from premium inventory. Partners like PMG are helping lead this transformation by putting these capabilities into action.”
Mike Treon, Head of CTV & Video Strategy at PMG, echoed the sentiment, emphasizing the depth of the technical integration. “Often AI in our industry today is just a wrapper around generic models. What we have built with FreeWheel is true technical interoperability,” he said. “By connecting Alli to FreeWheel in real‑time, we have given our customers an agentic AI solution that goes beyond reporting and actually understands the streaming ecosystem. We are moving past manual setup to an era where teams use our industry‑leading marketing operating system to optimize complex global deals instantly.”
Why AI matters for premium video
The premium video segment—comprising high‑value inventory on platforms such as connected TV, over‑the‑top (OTT) services, and premium streaming apps—has long been characterized by complex deal structures, multi‑step approvals, and a reliance on human expertise to balance reach, frequency, and brand safety. As advertisers push for more granular targeting and performance guarantees, the operational overhead has grown proportionally. AI agents that can parse contract terms, monitor compliance, and adjust spend on the fly address a clear market pain point: the need to reduce latency between insight and action.
Industry analysts have noted that while programmatic buying has become standard for digital display and mobile, premium video has lagged behind due to the bespoke nature of each deal. By exposing an API‑level interface to AI, FreeWheel essentially levels the playing field, allowing algorithmic solutions to operate where previously only human media planners could. This could accelerate the broader adoption of programmatic principles—such as real‑time bidding and automated optimization—within the premium space.
Potential impact on workflow and ROI
For agencies and brands, the immediate benefit of an AI‑enabled infrastructure is the reduction of manual touchpoints. A typical premium video workflow might involve a series of spreadsheet updates, email confirmations, and manual reconciliations between buying and selling parties. Automating these steps can cut operational costs, reduce the risk of human error, and free up talent to focus on strategic planning rather than data entry.
From a financial perspective, the ability to reallocate budget in seconds based on live performance metrics could improve return on ad spend (ROAS). If an AI agent detects that a particular inventory source is delivering lower viewability than promised, it can instantly shift spend to higher‑performing placements, preserving campaign efficiency. Conversely, the system can capitalize on emerging inventory opportunities—such as a newly launched streaming channel that shows early signs of strong audience engagement—by scaling spend before competitors react.
Looking ahead: FreeWheel’s AI roadmap
The announcement follows a recent showcase at CES, where FreeWheel introduced cross‑platform agentic AI media buying alongside other industry leaders. While the current pilot with PMG focuses on monitoring and optimization, FreeWheel signals that additional AI‑powered capabilities are slated for release throughout 2026. These future features could include:
- predictive forecasting models,
- automated contract negotiation tools,
- deeper integrations with third‑party data providers.
By positioning AI as a core layer rather than an add‑on, FreeWheel aims to cement its role as the infrastructure provider for the streaming ad ecosystem. If the technology proves scalable and reliable in the PMG pilot, it may encourage other agencies, advertisers, and supply‑side partners to adopt similar AI agents, potentially reshaping the competitive landscape of premium video advertising.
Conclusion
FreeWheel’s AI agent infrastructure represents a significant technical shift for the premium video market. By granting AI agents direct access to transaction data and decision‑making pathways, the company offers a pathway to faster, more data‑driven campaign management. The early partnership with PMG and its integration into the Alli platform provides a tangible example of how the technology can be applied in practice. As advertisers continue to demand agility and measurable outcomes from high‑value video inventory, solutions that automate routine processes while preserving strategic oversight are likely to become a differentiator. Whether FreeWheel’s approach will become the industry standard remains to be seen, but the move underscores the growing convergence of AI and ad tech in the streaming era.
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