As Artificial Intelligence reshapes enterprise workflows, the life sciences communications industry is undergoing its own transformation, one that goes beyond speed to address scientific rigor and compliance. With the launch of Prezent Vivo, communications platform Prezent is positioning itself at the intersection of AI and human expertise, aiming to streamline how complex scientific information is created, adapted, and delivered across the healthcare ecosystem.
The Tech Panda spoke to Francine Carrick, a 20-year medical communications veteran, who was just appointed as President of Prezent Vivo. Carrick sees the shift as long overdue and is excited about what the solution offers and how it might transform the medical communications industry.
“If I’d had a solution like Prezent is offering, it would have made my life so different. We would have been able to connect to audiences in much faster and more efficient manner.” — Francine Carrick, President of Prezent Vivo
“I joined Prezent because for all the years that I spent in medical communications, if I’d had a solution like Prezent is offering, it would have made my life so different. We would have been able to connect to audiences in much faster and more efficient manner,” she gushes.
Embedding AI Rather than Adding a Top Layer
Life sciences communications, often an umbrella term covering everything from physician education and promotional content to market access materials, has traditionally relied on a delicate balance between scientific accuracy and audience-specific storytelling. According to Carrick, the core challenge has always been translating highly complex data into accessible narratives for diverse audiences.
“Medical communications takes scientific data from biopharma and packages it for multiple different audiences, so that we get the right content to the right person at the right time,” she explains.
“You’re getting the right context from the very beginning. This streamlines process and production of the communications that we’re generating.”
But the process has historically been slow and resource-intensive, particularly when adapting the same scientific data for different stakeholders, from academic researchers to community doctors to patients.
Prezent Vivo aims to address this bottleneck by embedding AI directly into the communication workflow, rather than layering it on top of existing processes. Carrick argues this distinction is critical.
“It’s different because Prezent was built for life sciences and so it’s not just applying something on top, which can actually add a layer of confusion and complexity. Prezent AI was built with life sciences in mind, with all of the compliant templates built into the solution. You’re getting the right context from the very beginning. This streamlines process and production of the communications that we’re generating,” she says.
Human Judgment for Scientific Accuracy
At the core of the platform is its ability to combine AI-driven data synthesis with human judgment. While AI handles the heavy lifting of sorting, summarizing, and structuring scientific data, domain experts ensure the output is strategically sound and scientifically accurate.
Carrick points out that when it comes to life sciences, any biases that might be introduced or any misrepresentation of the information can have consequential impact in the lives of patients and the companies. And Prezent Vivo, she says, takes all of that into consideration.
“It is built to be scientifically rigorous. It has absorbed all the information that is critical to life sciences from a regulatory and a compliance perspective.”
“It takes into account all that brand compliance. It is built to be scientifically rigorous. It has absorbed all the information that is critical to life sciences from a regulatory and a compliance perspective. Again, by having it from the ground up and building it from the beginning, we’re able to ensure that the science is rigorous and is also delivered at the speed of AI,” she notes.
This fusion becomes particularly relevant in a highly regulated industry where inaccuracies can have serious consequences. Carrick acknowledged the skepticism surrounding AI in healthcare but emphasized that domain-specific design is key to mitigating risks.
Targeting Cost & Efficiency
Beyond speed and accuracy, the platform also targets cost and efficiency, two persistent pressure points for both biopharma companies and medical communications agencies. Prezent claims cost reductions of 35% to 80%, driven not by discounts but by a fundamentally different operating model.
“Prezent is cheaper,” says Carrick. “It’s between 35% to 80% cheaper from a production perspective and it gives back experts 40% of the time. The reason is you’re leaning into what AI is really good at, which is the synthesizing of the data and being able to put that into effective communications. We’re cheaper not through a discount. We’re cheaper because of a fundamentally different cost structure.”
One-Size-Fits-All to Audience-Specific Communication
Also, one of the more distinctive features of the platform is its ability to rapidly adapt content for different audiences. Carrick described a system of “fingerprints” that allows near-instant transformation of the same scientific material into formats tailored for various stakeholders.
“The advantages from a medical communications perspective is incredible, because now we no longer have to build in timelines to be able to roll out these communications over several weeks or several months.”
“The Prezent solution has built into it, what we call ‘fingerprints’. These allows you to almost instantaneously change the content from an academically appropriate presentation to one that’s going to resonate with a community of physicians or with a patient. The advantages from a medical communications perspective is incredible, because now we no longer have to build in timelines to be able to roll out these communications over several weeks or several months. We’re able to facilitate the information reaching the right audience at the right time in a much more timely manner,” she says.
This capability reflects a broader industry shift, from static, one-size-fits-all communication to dynamic, audience-specific engagement at scale.
Redefining Roles Rather than Replacing Them
Rather than replacing jobs, she argues, this shift could redefine roles within the industry and increase their capacity by at least three times.
“I think it enables employees,” she says. “It enables medical communication experts to actually do what they’re already experts at. And this becomes that critical human judgment required in AI. So, instead of spending their time doing production services, formatting slides, they’re using their scientific prowess… and they’re able to get that valuable time back. They get 40% of their time back and are able to apply their true expertise and judgment to bringing additional value to the client.”
Speed Without Substance is Not Enough
As AI adoption accelerates across healthcare, it’s not just automation that is making a difference, but also how effectively it is integrated with human expertise. Prezent Vivo’s model underscores a growing consensus, namely, in life sciences, speed without substance is not enough, and substance without speed is no longer viable.
If successful, this fusion approach could redefine how scientific knowledge moves from data to decision-making, compressing timelines while preserving the rigor the industry demands.
