“I want to use AI, but my data is a mess and I’m not sure where to start.”
If you lead a commercial team in MedTech, this statement might hit close to home. Whether in conversations with industry leaders, at conferences, or in the field, we hear this tension again and again. The excitement around AI is palpable—but so is the uncertainty. Teams recognize the potential to unlock efficiency and growth, but they’re unsure where to start.
And they’re not wrong to hesitate. Deploying enterprise-grade AI solutions—especially agentic AI—requires more than a proof of concept. It takes a strong data foundation, a well-aligned commercial strategy, and an agile mindset. That’s a big lift for MedTech commercial leaders already navigating regulatory shifts, market pressures, tighter margins, and ongoing supply chain challenges. But it’s precisely this intersection of pressure and possibility that makes today such a pivotal moment. The need to do more with less is only increasing—yet the tools available to meet that demand have never been more powerful. The question is no longer if AI will shape the future of MedTech commercialization, but how we’ll harness it.
Why Agentic AI—And Why Now?
Agentic AI refers to systems that can autonomously take action—within guardrails—to help users achieve a goal. This shift from AI as a passive assistant to an active collaborator opens up powerful new possibilities for commercial teams.
Salesforce’s launch & scaling of Agentforce is a clear signal of where the enterprise market is headed. As a Salesforce ISV partner, we’re excited to see this evolution. While our tools are platform-agnostic, Agentforce reinforces what we already know—agentic AI is no longer theoretical. It’s here, and it’s ready to drive real results.
Four Ways Agentic AI Can Drive Commercial Efficiency
Agentic AI is uniquely positioned to address some of MedTech’s toughest commercial challenges. Based on our experience, here are four of the most impactful areas:
1. Deliver Strategic Recommendations
AI agents excel at distilling vast datasets into clear, actionable insights. Imagine every rep having a virtual co-pilot that can answer, “What two actions should I take today to grow my territory?” With the right data foundation, these recommendations can be tailored, timely, and impactful.
2. Automate Mundane Tasks
Reps didn’t get into sales to write call notes or manually update CRM records—and yet these tasks consume a disproportionate amount of their time. Agentic AI can handle these low-value, high-effort activities, freeing up your team to focus on what they do best: engaging customers and driving growth.
3. Generate Personalized Content
From follow-up emails to territory-specific messaging and marketing materials, generative AI can create content faster and more cost-effectively. It’s not just about efficiency—it’s about unlocking new levels of customization and speed.
4. Increase Cross-Team Visibility
One of the lesser-discussed superpowers of AI agents is their ability to surface relevant insights across teams and levels of management—without the need to dig through dashboards or email threads. This enables faster decision-making and better alignment across commercial functions.
How S2N Can Help
At S2N, we’re here to support your journey from early exploration to enterprise-scale deployment. Our commercial insights provide a must-have source of truth to power AI, while our AI-enabled tools deliver immediate efficiency gains, out of the box. Whether you’re already deploying agents or just beginning to explore the possibilities, we’re here to help you take the next step.
Over a series of articles, we’ll explore each of these above mentioned areas in more detail, sharing real-world examples, common pitfalls, and tips for effective implementation. This series aims to help MedTech leaders cut through the noise and successfully adopt and scale agentic AI to drive commercial efficiency and growth. We’ll break down what it really takes to make AI adoption practical, actionable, and aligned with the realities of MedTech, from big-picture frameworks to hands-on use cases and enablement strategies.
Let’s talk about how agentic AI can actually work for your team. Fill out the form below to get the conversation started.
Kelsey Hirsch
Head of Product
