WHY NOW
Today’s digital transformation is how science scales and healthcare gets personal.
The era of intelligent trials isn’t coming—it’s here.
FAIR data investments are rising. AI and data platforms are getting smarter. And new players are challenging the status quo. Tomorrow’s trials won’t just be faster—they’ll be connected, self-learning and simulated from end to end. These advances demand an operating model for clinical development built for real-time insights, seamless data flow and faster delivery of treatments at lower cost. This isn’t just an upgrade to trial execution. It’s a chance to reimagine how molecules become medicines.
Pharma’s commercial leaders aren’t just asking what their CRM should do—they’re demanding more.
The answer lies in building agentic ecosystems that empower teams with the right context, resources and intelligence to break through customer barriers, boost productivity and collaborate effortlessly across field roles. Next-gen CRM doesn’t just track tasks—it orchestrates them. It eliminates the need to reinvent every workflow by putting smart, adaptive execution at the core.
Connect business needs, streamline workflows and power transformation with the right technology. Because how you transform matters.
ENABLERS OF SUCCESS
Transformation isn’t just an idea, it’s what we do.
Connected data and intelligence
Process reimagination
Technology ecosystems
Workforce engagement
Case studies
See how it works in the real world
- Patient-first clinical trials with AI-powered insights
- Machine learning for study data and smarter reuse
- A global CRM ecosystem with Salesforce
Issue: A global healthcare company is on a mission to create a smoother, faster, more inclusive clinical trial experience that’s also patient-centric and data-driven. For an organization focused on improving patients’ lives by delivering life-changing treatments and vaccines, optimizing clinical trials is a must.
Action: The company partnered with ZS to engage in its clinical trial transformation journey and create an AI-powered data and analytics platform that would support clinical trial country and sites identification decisions.
Outcome: With this change, the team expects 10% more patients per site, 30% fewer nonrecruiting sites and benchmark alignment for participating countries.
Issue: A global pharmaceutical company mines its massive repository of historical studies on an ongoing basis to uncover insights that could guide clinical and medical decisions. The conformance process was a bottleneck, however—a typical study took three weeks or more to be conformed, which slowed the downstream exploratory analysis phase. The company looked to automate the conformance process, while building in the ability to handle regular refreshes.
Action: ZS developed and deployed a machine learning-powered system to automate data conformance checking. The system uses natural language processing and machine learning to analyze study metadata and automatically identify conformance issues. It offers a user-friendly interface that allows clinical teams to review flagged discrepancies and provide feedback, which is then used to continuously improve the model's accuracy through human-in-the-loop learning.
Outcome: The solution allowed the company to:
- Reduce manual effort and reliance on rules-based checking
- Increase the scale and speed of data conformance across global trials
- Continuously improve accuracy of checks with feedback loops
After the clinical studies conformance solution went live, the team saw efficiency gains—the time required to map studies decreased by nearly 85%. This, in turn, led to a three-time increase in the number of conformed studies that could be published, increasing from 27 in 2020 to nearly 80 in 2022 working under a fixed year-over-year budget.
Issue: A global healthcare company looked to transform its client relationship management function by harmonizing 20+ capabilities across 40+ legacy CRM systems in 15 countries, including the U.S., Brazil, U.K., Poland and Spain.
Action: ZS partnered with the client to consolidate these into a unified Salesforce “Global OneCRM” ecosystem, providing a 360-degree customer view and streamlined processes.
Outcome: This transformation improved the global customer experience by standardizing more than 30 attributes across more than 1 million accounts. It also boosted sales reps time with customers by 10%, enabled 3.5 million euros in annual savings and increased cross-selling by 3%. The system continues to support more than 1,750 active users worldwide.
WHAT WE THINK
Featured insights
Inside the mind: Life sciences tech leaders on driving smarter digital transformation
Webinar
Clinical development is changing: Your next step matters
Clinical development is entering a new era where AI, predictive modeling and data flows are transforming how trials are implemented. Our webinar breaks down what this means in practice and how your organization can adapt to this changing landscape.
Watch now
WEBINAR
A customer-first approach to commercial success
Anticipate and overcome customer challenges through context-driven strategies, AI-enabled insights and a reimagined approach to customer relationship management (CRM).
Watch now
WEBINAR
Navigating AI in drug development: Insights from clinical tech leaders
Learn from Johnson & Johnson Innovative Medicine’s Asha Mahesh and BMS’s Dan Bachalis about how organizations are adopting AI, leadership’s role in a culture of innovation and the strategic alignment between building and buying AI solutions.
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WEBINAR
Pharma’s future commercial model depends on next-gen CRM
Learn our approach for a connected CRM ecosystem that uses classical AI and gen AI to deliver real-time personalized insights and enable seamless orchestration across customer-facing roles.
Watch now
A trusted network
Partnering for success
ZS has partnered with these industry-leading organizations to deliver the highest quality services and solutions to our clients.
