IM Digital

The biggest AI challenge for enterprise leaders is no longer building agents. The challenge is managing them. Organizations must govern actions, monitor outputs, and maintain accountability at scale. Google Cloud Next '26 addressed this with the Gemini Enterprise Agent Platform. By uniting Vertex AI and Agentspace, they emphasized the features enterprise buyers need most. The focus belongs on Agent Identity, Agent Registry, Agent Observability, and Agent Optimizer. Enterprises are done asking if they can build an agent. They are asking how to manage a thousand of them securely. Platforms provide the infrastructure. Registering an agent and governing it are two different things. Defining authorizations, mapping human escalation paths, and auditing behavior over time remains the responsibility of the brand. Our team enjoyed a great week meeting with dozens of partners and clients with ambitious visions to build the rigorous, auditable frameworks required to run intelligent systems. We're moving faster than ever before.

We sat down with Peter Fain, co-founder of Material Technologies. We discussed what it takes to build a partnership that drives results. The numbers speak for themselves. Material Bank's disruptive solution, rooted in Adobe, won their annual Experience Maker Award "The Disruptor" and a $1.9B valuation. This is what TotalCare partnerships look like: Strategy X Design X Development X Growth X AI More from Peter and Material Technologies soon.

Coming back from Shoptalk, our team highlighted how rapidly the AI conversation is changing for consumer brands. Here are three takeaways gathered from intimate conversations our team had: 🤌 Most brands have already attached AI to existing workflows such as chatbots answering questions, copilots writing copy, and simple automation. Innovators are pivoting to how work gets done at the core and exploring system-wide AI transformation. 🪦 Traditional personalization is a baseline expectation. Customer relationships are shifting from "recommended for you" to "handled for you." Predictive agents that understand customer needs before they search are helping leaders shift from personalization to anticipation. 🚀 Agent-native architectures are a thing. A single agent can process inventory decisions, adjust pricing, and manage customer outreach. Leaders are implementing bespoke intelligence at the infrastructure-level, supporting long-tail evolution and integration of AI-native solutions. We believe AI is the foundation of a new operating model, not just features to add to the experience. Our focus is designing and developing structural advantage with intelligent infrastructure for IM Digital and the brands we partner with.

While planning for Shoptalk, we had a choice to make. We could host a massive party, or we could invest in a space for real work. We chose the latter. Our booth was designed for a single purpose. We wanted an environment to sit down with our clients, partners, and team to define the future of commerce. We prioritized strategy over small talk, focusing on building shared visions with the brands we support. Thank you to everyone who stopped by to strategize with the IM Digital team. Did you have a valuable conversation with IM Digital this year? Who did you strategize with?

IM Glowing. Last week, IM Digital and Bloomreach brought the energy before Shoptalk — and you showed up. Thank you for being part of it.

I use AI daily to pressure-test strategy: stress-testing go-to-market assumptions, mapping competitive positioning, synthesizing signals from across our client portfolio to spot patterns no single conversation would reveal. The most insightful thing? Using AI to collapse the gap between "what the data says" and "what we should do about it." Most agencies can run the analysis or build the deck. Where others fail is turning insight into action at speed - they get stuck in the loop of gathering more data, scheduling more alignment meetings, building more slides. I skip that. AI lets me walk into a room with a point of view that's already been stress-tested, so we spend our time making decisions instead of debating frameworks. That's the difference between using AI as a tool and using it as a strategic advantage - and it's exactly how we approach it for our clients at IM Digital. - Justin Ragsdale, CRO Schedule a meeting: https://hubs.li/Q047x_XZ0

Our largest enterprise engagements start with discovery, workshops, and strategic technical advisory. We map the full technical landscape before recommending what to build. On some engagements, we own the architecture while another partner handles the development. Because the thinking is where the value sits. Commerce engineering isn't about writing code anymore. It's about knowing what to build, how to structure it, and where a human eye on quality still matters. That's the work I focus on at IM Digital. Colby Makowsky, the Director of Solutions Architecture at IM Digital will be at Shoptalk RSVP a 30 min AI Strategy session with Colby here: https://lnkd.in/eMxrz3Bf

"Invested in AI. What now?" The answer depends on where you are. Most companies think they're running when they're crawling. Off-the-shelf tools and a few team members are experimenting in silo without a cohesive strategy across the enterprise will not yield worthwhile outcomes. We believe the gap between "Using AI" and "AI ROI" is global strategy, governance, data architecture, cross-functional alignment, and a roadmap built tailored to the organization's maturity level. Ali Ahmed will be at Shoptalk in Las Vegas next week. If you're interested in discussing Enterprise AI Strategy, a sit down with him and our team will be more worthwhile than any other activity next week. DM us or schedule using the link in the comments.

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