Slipstream Life Sciences

The Slipstream team is on the ground at #VeevaSummit this week! If you're navigating a CRM decision, rethinking customer engagement, or trying to separate AI hype from real use cases, we'd love to compare notes. Stop by our booth or send us a message to grab time. Great to be here alongside Jeff Ceitlin, Claire L., Ashwin Girish Kumar, Brandon McKay, Nitin Suri, Keith Anastasi, Kelly O'Connor, Thomas Toto, Eric Travieso, Vincenza Ciampi Krikorian, and Tom Natal! #lifesciences #expertisedelivered #slipstream

We made a choice years ago. Serve one industry and serve it well. Our 250+ biotech and pharma customers get the benefit of that focus every day. #expertisedelivered

Two decades of working alongside life sciences commercial teams, and this inflection point feels different from the others. Commercial teams are navigating two major shifts at the same time: a forced CRM replatform and a real decision about how AI reshapes their go-to-market operations. These are no longer sequential conversations. They are happening in parallel, and the window to act thoughtfully is narrowing. What has changed is where the pressure is coming from. This is not an IT initiative anymore. The questions are coming from the board, from competitors moving faster, and from the field asking what the plan is. AI strategy is now directly tied to the CRM decision. How a commercial team approaches one will shape what is possible with the other. Most timelines are not in your control. The approach is. More on CRM implementation and migration 👉 https://lnkd.in/grdEke8J #lifesciences #biotech #slipstream

Compliance teams in life sciences aren't slowing AI down. They're doing their job, and the questions they ask are the right ones. Is the data accurate? Secure? Governed properly? Can we defend the insights we're surfacing to the field if someone asks? Those questions often get framed as obstacles. They're actually why the life sciences AI programs work. A compliance-first approach leads to a few practical choices: → Start with data sets where lineage is clear and governance is tight → Pick use cases where the input data is already clean enough to trust → Build the audit trail before you build the insight Companies that treat compliance as a partner in AI design move faster over time than the ones who treat it as a gate to get past. Learn more about AI enablement 👉 https://lnkd.in/g59SyAxd #lifesciences #expertisedelivered #slipstream

Most CRM strategies have a shelf life. And most teams find out too late. Expectations around customer engagement evolve faster than the systems meant to support it. A modernization effort is not just a technical project, it is one of the few moments where a commercial organization can step back and ask the right question: what should engagement look like from here? When we work through that question with clients, the same priorities come up. Field teams need to be more effective, admin burden needs to come down, and reps need insight they can act on. AI and next-generation capabilities make this possible in ways that were not realistic even a few years ago. But the advantage does not come from the technology alone. It comes from using this moment to rethink how your commercial team operates. The companies that ask the bigger question during modernization pull ahead. The ones that do not fall behind. More on CRM implementation and migration from Claire L. and team: https://lnkd.in/grdEke8J #lifesciences #biotech #slipstream

Most AI conversations in life sciences IT start with the exciting use cases like clinical pipelines and regulatory automation. The service desk gets overlooked, and that's a mistake. The service desk has something most parts of the IT environment don't. Clean, structured, high-volume data. Every ticket is a timestamped record of what broke, how it was resolved, and how long it took. Compare that to deploying AI into a clinical workflow, where the data is messier and the consequences are real. The service desk lets you see what AI can actually do before you bet anything important on it. Start where you can measure. More on AI enablement 👉 https://lnkd.in/g59SyAxd #lifesciences #expertisedelivered #slipstream

We’re three weeks out from Veeva Commercial Summit in Boston! 2,000+ commercial and medical leaders, 100+ sessions, and a front-row look at where Veeva AI is headed. The kind of event where the hallway conversations are as valuable as the main stage. Ashwin Girish Kumar, Claire L., Jeff Ceitlin, Brandon McKay, Keith Anastasi, Tom Natal, Eric Travieso, Kelly O'Connor, Thomas Toto, & Vincenza Ciampi Krikorian will all be there. Swing by and say hello! Connect with Nitin Suri to schedule a CRM strategy session. #lifesciences #enterprisetransformation #veeva

Adding another AI tool won't solve the problem. We've seen teams with access to every major platform still stuck asking ChatGPT things they'd otherwise Google. That's substitution. Fluency means knowing when to use AI, and building workflows around the moments it actually helps. The floor for productive contribution is rising. Build fluency now or spend the next year catching up. More on AI enablement 👉 https://lnkd.in/g59SyAxd #lifesciences #biotech #slipstream

Five years ago, omnichannel orchestration was an innovation project. Today, field teams expect it from their CRM. It's the baseline. The companies navigating this well treat orchestration as a business capability, not a technology feature. Data readiness, decisioning logic, and change management working together. The ones struggling are still treating it like a project with a go-live date. #lifesciences #biotech #slipstream

Biotech growth curves don't follow neat projections. In any given year you might: → Triple headcount after a successful Phase 2 readout → Pause during a regulatory hold → Acquire a company and inherit three different CRM systems The question is whether your systems can flex when your trajectory changes. We've seen companies outgrow their architecture within months of launch. We've seen others over-invest in complexity they never needed. The balance is harder than it sounds. #lifesciences #expertisedelivered #slipstream