Central Claims Management Coupled with AI Drives Speed and Compliance

Global medtech reduces review cycle times by up to 50% and creates content 60% faster

In the highly regulated medtech industry, speed and compliance must go hand in hand when creating and approving commercial content. For one of the largest global medical technology companies operating in more than 190 countries, a fragmented approach to claims management was slowing execution, creating inefficiencies, and making it harder to scale.

With more than 2,000 participants in the medical and legal review (MLR) process, the medtech company needed a way to streamline workflows, maintain compliance, and increase speed to market. By centralizing claims management in Veeva PromoMats and integrating AI-driven content generation, they implemented a unified approach that reduces review cycle times by 50% while improving content quality, consistency, and reuse of approved claims. Content creation timelines dropped from as long as eight weeks to as little as three weeks, with some assets produced in just hours.

From fragmented systems to a central foundation

Prior to its transformation, the medtech’s claims review relied on manual processing and folder-based systems with no centralized source of truth. These systems were difficult to maintain, slowed approvals, and increased the risk of non-compliance.

The medtech leader faced several key challenges including:

  • Limited visibility and traceability: Claims were stored in separate folders, making version tracking difficult and increasing compliance risk.
  • Inefficient review cycles: Manual processes introduced bottlenecks delaying approvals.
  • Inconsistent processes: Teams struggled to manage reviews predictably.

The company began its Veeva PromoMats journey in 2016, rolling out the solution across select business units before deploying globally. By 2020, every team operated on a single platform, giving the organization a single source of truth for content review and approval. This centralized foundation made processes easier to maintain, established consistent global procedures, and gave leadership access to reporting and performance insights.

Initially, the organization managed claims in Veeva PromoMats as documents with statements and attached references. When the structured claims database became available, the company quickly adopted it—creating a single repository that improved governance, increased data utility, and strengthened reporting for leadership.

Using AI to improve content quality and speed

After building a centralized foundation in Veeva PromoMats, the company conducted a full process evaluation to identify bottlenecks. The analysis showed that the biggest opportunity was upstream—improving content quality before materials reached MLR review. With that in mind, the company piloted two high-value AI use cases:

  • Claims-based content generation.A generative AI tool, trained on company standards and brand guidelines, now pulls approved claims directly from Veeva PromoMats, allowing content to be created in a fraction of the time it took before.
  • Automated content quality checks.
  • TLeveraging AI to review draft materials before submission – checking for grammar, citation accuracy, and compliance – the company is able to flag issues early, reducing rework, improving review readiness, and speeding up overall cycle times.

The integration between Veeva PromoMats and the AI tool ensures traceability from each piece of content back to its original claim, reinforcing governance while enabling faster, more efficient content creation and review.

Partnership between marketing, regulatory, and IT drives success

Breaking down silos between marketing, regulatory, and technology teams was key to the medtech’s success. Once viewed as a bottleneck, regulatory operations became a strategic partner by shaping the new workflow and ensuring compliance from the start.

System adoption was accelerated through clear, consistent communication including updates in monthly meetings, tailored sessions for business units, and open office hours where users could see the system in action and ask questions. This approach built trust, encouraged feedback, and drove higher adoption across the company.

Improving speed and compliance with Veeva PromoMats and AI

By building a central foundation for claims management in Veeva PromoMats and implementing AI to assist in content generation and review, the company transformed its fragmented, manual process into an efficient, compliant, and scalable operation.

Results include:

  • Speed-to-market: Content creation timelines dropped from as long as eight weeks to as little as three weeks, with some assets produced in just hours.
  • Higher efficiency: Review cycle times reduced by up to 50%, freeing up teams to focus on strategic priorities.
  • Scalable personalization: Teams can now tailor content for different audiences while remaining fully compliant.

Leaders emphasized that AI is not replacing human oversight; instead, by improving the quality of inputs, reviews became faster, smoother, and more predictable.

This global medtech’s approach to managing claims and content with Veeva PromoMats and AI offers a practical model for other companies looking to streamline MLR review and deliver compliant, personalized content more effectively.

Learn how AI is evolving the medtech content supply chain in this article.