Regulatory submissions as a source of insight: How AI can amplify the value of our work

Preparing a regulatory submission has always required significant manual coordination. Regulatory professionals draw from multiple data sources and document workflows to draft, review, and refine submission content. Too often, those inputs sit in different systems or move through disconnected review cycles. Used thoughtfully, AI-enabled automation can accelerate authoring, improve consistency across dossiers, and help critical medicines reach the patients who need them, faster.

The opportunity goes beyond efficiency. When regulatory teams can better organize, connect, and question the information they manage, submissions become more than required outputs. They become assets that inform future work. That gives regulatory professionals a stronger foundation to build development strategies, anticipate risk, and support better decisions throughout a program.

Building the connected submission

A submission is not just a collection of documents. Submissions reflect decisions, data, strategy, assumptions, and regulatory rationale developed across the product lifecycle. But when that information is spread across systems, teams, templates, and handoffs, then teams lose continuity and AI has less useful context to work with. 

Addressing that challenge requires a more connected submission environment. Before AI can meaningfully accelerate or improve submission development, teams need a foundation of standardization. In our experience, that includes:

• Adopting aligned global processes to ensure that all teams understand the work being done and can participate in it collaboratively.
• Structuring content in a way that makes it easily accessible to both humans and machines.
• Creating repeatable workflows for coordinated end-to-end execution.

With this foundation in place, AI-enabled tools can strengthen the submission process rather than simply adding another layer of technology. Teams can work from shared context, reuse content more effectively, and apply AI where it can solve real operational challenges.

From processing submissions to shaping decisions

Standardization and automation can make submission development faster and more consistent, but the larger opportunity is what becomes possible beyond the submission. When regulatory content is well organized and available for reuse, teams can learn from it across programs, markets, therapeutic areas, and the broader development lifecycle.

In that model, the submission is no longer just the final output of many months of work. It becomes a document that teams can use to guide regulatory decisions. For example, connected submission content can help teams decide when to engage regulators, where additional evidence may be needed, which markets may require tailored strategies, and how to prioritize remediation before a submission is at risk.

Teams can also identify risks earlier, make timelines more predictable, and align more effectively with the evolving regulatory environment. This shifts regulatory from tactical submission execution to strategically shaping decisions. 

Amplify human expertise through AI-driven execution 

AI is not a substitute for human expertise. In AI-assisted submission creation, regulatory professionals remain in the lead. They bring the scientific and regulatory context, interpretation, judgment, and accountability required to ensure the work is accurate, appropriate, and aligned with regulatory expectations. AI brings speed and consistency to work that is often manual and time-consuming.

At Parexel, regulatory experts define the strategy, shape the narrative, and design the templates that guide the outputs that AI will use. Through ParexelAI™, and our partnership with Weave Bio, we map source data to the dossier, extract and categorize information, generate and iterate drafts, format content, and execute other repeatable steps. For example, AI can generate an initial draft from structured source data, flag content gaps or inconsistencies, suggest where information may be reused across dossiers, and support formatting or quality checks. Regulatory experts challenge assumptions, refine the narrative, resolve ambiguities, and maintain accountability for submission output. 

The result is not less human control. It is better human control. When AI-enabled solutions handle more repeatable tasks, regulatory professionals can spend more time on work that requires expertise and judgment. 

The impact is clear: With ParexelAI, and our partners at Weave, we have reduced Investigational New Drug (IND) and New Drug Application (NDA) submission authoring timelines by 60% while maintaining the same quality standards expected of manually produced dossiers.  

Next steps

If you’re considering AI for a regulatory submission environment, start small. Identify a high-value manual process and standardize it before introducing AI. Examples include generating first drafts from structured source data, checking consistency across related documents, identifying content gaps, supporting reuse of approved language, or automating formatting and quality checks. 

As use cases expand, the goal should be to connect data, content, and workflows across the regulatory lifecycle, from planning through submission, so regulatory teams can build the foundation for broader reuse, insight, and decision-making

For more information, please watch The Connected Submission: How AI, automation & intelligence are changing regulatory, a session we co-presented with Weave at DIA Global 2026. 

If you're evaluating the role of AI in dossier development, we'd welcome a discussion about the approaches, opportunities, and considerations we've seen across the industry. Please get in touch, we’re always available for a conversation. 

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