Apr 30, 2026 9:00 AM
ET
|
Boston

From Hype to Reality: Where AI Is Actually Delivering Value in Clinical Trials | Adlib x PCT

Industry leaders explore how AI is being applied today to improve patient recruitment, optimize trial design, enhance data analysis, and accelerate decision-making, moving beyond the hype to examine real-world use cases, lessons learned, and where AI will create the most impact over the next few years.

Where is AI actually delivering in clinical trials?

We're bringing the right people together to find out.

At this year's Precision in Clinical Trials Summit in Boston, Adlib's CEO Chris Huff is moderating a candid panel with regulatory, data science, and AI leaders from AstraZeneca, Scynexis, and Cilcare. If you're navigating AI adoption in a regulated trial environment, this is the conversation worth being in the room for.

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From Hype to Reality: Where AI Is Actually Delivering Value in Clinical Trials

There's no shortage of AI enthusiasm in clinical research. What's harder to find is an honest accounting of what's actually working, what isn't, and what still needs to happen before the promise matches the reality. This panel brings together practitioners with firsthand experience, from regulatory submissions at a top-five pharma company to clinical data science at a specialty biotech, to have that conversation plainly.

Date: May 1. 2026

Time: 3:00PM ET

‍Moderator: Chris Huff — CEO, Adlib

Panelists:

  • Hugo Laullier — Head of Data & Artificial Intelligence, Cilcare
  • Vasundhara Pathak — Regulatory Affairs Director, AstraZeneca
  • Jenny Gao — Director, Clinical Data Sciences, Scynexis

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What we'll cover

A practitioner-level conversation on what's real, what's not, and what comes next.

The panel is structured around three areas where the gap between AI potential and AI reality is most visible in clinical trials today.

Regulatory acceptance and risk
‍How agencies are actually responding to AI-generated outputs in submissions and trial documentation, where AI is gaining acceptance, where it's drawing new scrutiny, and what sponsors most commonly get wrong when integrating AI into regulated processes.

Clinical data quality and trial execution
‍Where AI is making a measurable difference in data quality, risk-based monitoring, and anomaly detection, and what still separates genuine impact from experimentation. Including an honest look at what has to be true upstream for AI insights to be reliable and trusted by clinical teams.

The road ahead
‍What executives are still getting wrong about AI in clinical trials, where the field is headed over the next few years, and what foundational work needs to happen before the bigger gains become possible.

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Find us at the event

We're at the booth too. Come talk.

Our team will be on the ground both days. If the panel surfaces questions you want to keep pulling on, about your specific environment, your current workflows, or where others in the industry are in their AI journey, we'd like to have that conversation. No demos unless you want one. Just a real discussion.

Our Speakers

Chris Huff

Chris Huff

CEO
|
Adlib

Chris Huff is a growth-focused tech and SaaS executive with a proven track record in scaling enterprise software companies backed by private equity and venture capital. He’s known for building strong teams and driving value through operational efficiency, revenue growth, and product innovation. Prior to joining Adlib, Chris was CEO at Base64.ai and Chief Strategy & Growth Officer at Tungsten Automation (formerly Kofax), where he led strategy, product, AI, GTM, marketing, and partnerships. He also co-led Deloitte’s U.S. Public Sector Intelligent Automation practice and served as a Major in the U.S. Marine Corps. Chris brings deep expertise in AI, automation, and digital transformation—and a clear vision to expand Adlib’s impact across regulated industries.

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Benjamin O’Connor

Benjamin O’Connor

Strategic Account Executive, Life Sciences
|
Adlib Software

Benjamin O’Connor is a Global Strategic Account Executive at Adlib, partnering with life sciences organizations to bring order to messy, unstructured content and reduce risk in document-heavy workflows. He brings deep life sciences go-to-market experience across eTMF/clinical operations platforms and quality/compliance systems, having held business development roles at TransPerfect Life Sciences, Phlexglobal, and ComplianceQuest. Ben is focused on practical ways to improve submission and information management readiness, by strengthening document accuracy, consistency, and validation upstream.

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MANUFACTURING

Adlib: The Foundation for DocumentAccuracy in Chemical Refining

When we made the decision to change rendering solutions, we looked towards3 separate vendors. Overall, Adlib seemed more mature as a software option.

Challenge
Legacy conversion tools couldnʼt handle the volume and complexity of engineering files, forcing constant IT intervention and delaying CAD conversions into shareable formats. Flat TIFF outputs were unsearchable and lost layer previews—slowing collaboration, creating inefficiencies, and weakening archival practices.

Solution
Safeguarded engineering Adlib improved efficiency, cut administrative overhead, and safeguarded engineering drawings to reduce legal risk. Engineers and contractors gained faster access and smoother collaboration, while IT reduced workload, support needs, and infrastructure costs with a smaller server footprint.

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MANUFACTURING

Adlib: The Foundation for DocumentAccuracy in Chemical Refining

When we made the decision to change rendering solutions, we looked towards3 separate vendors. Overall, Adlib seemed more mature as a software option.

Challenge
Legacy conversion tools couldnʼt handle the volume and complexity of engineering files, forcing constant IT intervention and delaying CAD conversions into shareable formats. Flat TIFF outputs were unsearchable and lost layer previews—slowing collaboration, creating inefficiencies, and weakening archival practices.

Solution
Safeguarded engineering Adlib improved efficiency, cut administrative overhead, and safeguarded engineering drawings to reduce legal risk. Engineers and contractors gained faster access and smoother collaboration, while IT reduced workload, support needs, and infrastructure costs with a smaller server footprint.

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Insurance

Insurance Giant Automates Heavy Admin Work in Claims, Saving Millions

Insurance giant automates heavy admin work in claims, saving millions

Challenge

As full-time employees (FTEs) struggled to manually process 90k claim-related documents each day to meet the company SLAs, the claims department overhead was getting out of hand. In addition, customer frustration and increased churn was a direct result of response times being many days from the customer’s claim submission.

Solution

Adlib optimized the claims-processing workflow by automating the ingestion, digitization, intelligent assembly, and publishing of compliant claims in PDF format. This transformation significantly minimized the manual effort required from FTEs, allowing them to concentrate on claim approvals and improving customer relationships. As a direct outcome, the company saw a remarkable 90% reduction in administrative work tied to pre-processing claim documentation. This in turn slashed their operational budget by $6 million. What’s more, overall customer service satisfaction improved as the efficiency boost dramatically accelerated customer response times from days to hours.

Insurance giant automates heavy admin work in claims, saving millions
Insurance

Modernizing Claims Processing & Document Management Workflow

“We very quickly realized that Adlib was the right tool for us — it was the only PDF rendition product out of the seven or eight we looked at that met our requirements for 100% fidelity and integration.” — Director of Architecture & IS Risk

Challenge

The insurance company needed to incorporate an automated PDF rendering capability with high-fidelity output into its workflow that would integrate with its Guidewire ClaimCenter® claims processing system and IBM® FileNet® repository.

Solution

To modernize the application systems supporting its P&C operations, the insurance company embarked on a major, multi-year initiative—its Enterprise Systems Renewal Strategy—that has already seen the introduction of a new Broker Transaction Portal and a new Claims Processing system. Ultimately, the program will also see the company completely revamp its existing Policy Administration system and the ERP system used for managing financial processes.

Modernizing Claims Processing & Document Management Workflow
Life Sciences

Pharma manufacturer minimizes compliance risk in batch delivery

“Every file type is rendered through Adlib as all materials are required to be stored as PDFs. The files we are processing can be a mixture of different things such as product specifications, ingredients, formulas, raw materials used in products, or specifics of packaging. Adlib is integrated with Enovia, our active quality management tool. We rely heavily on that tool,” – Sr. Manager Platform

Challenge

This pharma manufacturer faced significant challenges in managing the diverse types of files involved in their batch delivery workflows. The necessity to render every file type into PDFs for consistent storage was complicated by the variety of materials they handled, including product specifications, ingredients, formulas, raw materials, and packaging details. This complexity made it difficult to maintain a standardized and efficient document management process, leading to process inefficiencies, documentation inconsistencies and, ultimately, a compliance risk.

Solution

Tthe company implemented Haistaq into their batch delivery, quality assurance and manufacturing workflows. Adlib's robust rendering capabilities allowed for the automatic conversion of all file types into standardized PDFs, regardless of their origin. This streamlined the document management process, ensuring that all materials, from product specifications to packaging specifics, were consistently and efficiently stored as PDFs. As a result, the company achieved greater efficiency in their workflows, improved the consistency and accessibility of their documentation, and reduced the complexity and manual effort previously required to manage diverse file types. This implementation also enhanced compliance and operational efficiency, supporting their commitment to quality and regulatory standards.

Pharma Manufacturer Minimizes Compliance Risk in Batch Delivery

Put the Power of Accuracy Behind Your AI

Whether you’re scaling GenAI, modernizing regulatory submissions, or simply trying to get out from under manual document work, Adlib helps you turn unstructured content into a reliable asset. Not a hidden risk.

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