Beyond the Hype: P3 Media Embeds Engineers to Deploy AI in Commerce

NEW YORK, NY – July 01, 2026 – For the past two years, the corporate world has been awash in conversations about artificial intelligence. Boardrooms buzz with terms like 'generative AI' and 'agentic workflows,' and nearly every executive has a mandate to explore the technology's potential. Yet, for many large commerce brands, the journey from ambitious AI roadmap to a production-ready, value-generating system has been fraught with peril. The gap between the AI dream and the operational reality is proving to be a chasm.

Industry data paints a stark picture of this execution crisis. Some reports suggest that over half of all enterprise AI projects never make it out of the pilot stage, while others indicate that AI initiatives fail at twice the rate of traditional IT projects. The reasons are as complex as the technology itself: a persistent shortage of specialized talent, the difficulty of integrating AI with brittle legacy systems, and the immense challenge of cleaning and structuring the vast datasets required to make AI work effectively.

It is precisely this chasm that Shopify Platinum Partner P3 Media aims to bridge with the launch of its new Forward Deployed Engineering practice. The service represents a significant bet on a new model for technology adoption, moving away from traditional consulting engagements and toward deep, operational integration. By embedding senior AI-native commerce engineers directly inside client organizations, P3 is tackling the core problem head-on: companies don't just need more AI tools; they need the embedded expertise to make them work.

The Execution Crisis in Enterprise AI

The struggle to implement AI is not for a lack of ambition. As P3 Media's CEO and Co-founder, Aanarav Sareen, noted in the announcement, "Large organizations do not struggle with AI because they lack ambition. They struggle because AI has to fit into real systems, real governance, real data, and real operating teams." This statement cuts to the heart of the issue. The theoretical power of a large language model is rendered moot if it cannot securely access a company's inventory system or if its outputs cannot be seamlessly integrated into a merchandiser's daily workflow.

For commerce brands, the complexity is magnified. "Commerce is especially complex because every AI decision touches customer experience, inventory, pricing, fulfillment, merchandising, and brand trust," Sareen explained. An AI-powered personalization engine that suggests out-of-stock items or a customer service bot that misunderstands a return policy doesn't just represent a technical failure; it's a direct blow to the bottom line and customer loyalty.

P3 Media's new practice is structured to address these specific, tangible roadblocks. The service is built on the premise that the only way to solve these deeply integrated problems is from the inside. This isn't about delivering a PowerPoint strategy deck or a standalone piece of software; it's about providing the human capital to navigate the messy reality of enterprise architecture and operational change.

A New Model: The Forward Deployed Engineer

What makes P3's model distinct is its departure from the standard agency retainer. Instead of working from the outside, P3's Forward Deployed Engineers become temporary, yet fully integrated, members of the client's team. They join daily standups, work within the client's security and development environments, and collaborate directly with internal stakeholders. The goal is not just to build, but to build alongside the client's own people.

This approach is designed to solve two problems simultaneously: capacity and capability. For organizations with stretched internal engineering teams, the embedded engineer provides an immediate boost in senior technical horsepower to accelerate an AI roadmap. But more strategically, the model is designed for knowledge transfer.

"We don't believe AI adoption succeeds because a company buys more tools," said David Wagoner, Co-founder and CMO of P3 Media. "It succeeds when teams know where AI creates leverage, when the systems are integrated into real workflows, and when people inside the organization understand how to use and extend what has been built." This philosophy is the foundation of the practice's 'AI Team Enablement' service area, which focuses on hands-on training in prompt design, tool selection, and governance. Wagoner's message is clear: "We are not just building with AI. We are teaching our clients how to build with AI."

The practice is broken down into four core offerings, painting a holistic picture of the AI adoption lifecycle: AI Commerce Engineering for building features, AI Team Enablement for upskilling staff, AI Infrastructure for Commerce to ensure systems are robust and scalable, and AI Efficiency Audits to identify the highest-value opportunities for automation.

The Rise of 'Agentic Commerce'

The launch is timed to coincide with what many in the industry see as the next major evolution: agentic commerce. This paradigm shift moves beyond simple chatbots and content generators to a future where autonomous AI agents can execute complex, multi-step workflows on behalf of both the business and the consumer. Imagine an AI agent that not only identifies a dip in sales for a specific product line but also analyzes market trends, proposes a new promotional strategy, drafts the marketing copy, and queues it for approval—all before a human has even had their morning coffee.

The market potential is staggering, with some analysts projecting that agentic commerce could orchestrate over a trillion dollars in spending by 2030. But to get there, brands need more than just ambition. They need an 'agent-ready' technical foundation built on open APIs, real-time data streams, and impeccable governance.

This is where P3's focus on deep infrastructure work becomes critical. Agentic commerce is impossible without the integrated systems and clean data that allow AI agents to perceive, reason, and act reliably within a business context. P3's practice is explicitly designed to build this foundation, helping brands move from experimenting with isolated AI tools to orchestrating integrated agentic systems across merchandising, customer service, and operations.

The Story Behind the Service

P3 Media's move is not a leap into an entirely new field but a logical extension of its existing expertise. As a Shopify Platinum Partner with a client roster that includes ALDO Group, David's Bridal, and GIII Apparel, the agency has spent years navigating the complexities of enterprise-scale ecommerce. They have built a reputation for handling difficult, high-stakes platform transformations. This new practice leverages that deep domain knowledge and applies it to the next wave of technological disruption.

As David Wagoner put it, "The real opportunity is to redesign how commerce teams build, operate, merchandise, support customers, and make decisions. That requires people who understand both AI and the realities of complex ecommerce operations." The Forward Deployed Engineering model is a direct attempt to provide clients with those exact people.

For commerce leaders staring at the chasm between their AI ambitions and their organization's current capabilities, this new model offers a compelling path forward. It acknowledges that the primary challenge of AI is not technological, but operational. As agentic commerce looms, the question for every executive is no longer if AI will matter, but whether their organization is truly equipped to deploy it. P3 Media is betting that the answer lies not in buying more software, but in embedding the people who can make it work.