What defensible AI actually requires in a validated life sciences environment.
Ebook
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August 21, 2026

Adlib + Veeva: Fueling Smarter Submissions

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Veeva Vault is the system of record your regulated content lives in. This guide covers what sits beneath it: the formatting, assembly, and inbound-content work that eats your filing timeline today, what regulators are asking for as AI use accelerates, and where the validation obligation lands when you add anything to a validated environment.

Why this eBook

Most life sciences teams running Veeva assume the content problem is solved. Vault versions documents, governs approvals, and auto-generates viewable PDFs.

For managing the record, that works. It's a different question from whether an AI output can be traced back to a specific page, a specific version, and a specific moment, or whether your publishing team is still losing weeks per submission to formatting and reconciliation that has nothing to do with the science.

This guide covers both, and it covers what your quality organization will ask before any of it gets approved.

You'll learn how to:

  • Quantify what the document layer costs you today, before AI enters the picture
  • Answer the four questions an inspector asks about an AI-assisted submission
  • Split the validation burden, what a vendor carries, what your team owns
  • Handle the four objections your own IT, quality, and finance teams will raise
  • Build the business case with your numbers, not a vendor's benchmark
  • Extend coverage to content Veeva was never scoped for: CAD, legacy archives, CRO deliverables, inbound correspondence

What’s inside

  • The Cost Before AI
    • Publishing bottlenecks, technical deficiencies, and inbound content quality.
    • What the document layer costs a regulatory operation with no agent in sight.
  • What an Inspector Actually Asks
    • Four questions in sequence about an AI-assisted submission, including the one most organizations can't currently answer.
  • Where Veeva's Scope Ends (and Why That's Correct)
    • Vault's rendition engine does its job well. Here's precisely where that job stops, in Veeva's own documented terms.
  • Validation: What We Carry, What You Own
    • A line-by-line split across IQ/OQ/PQ, Part 11 and Annex 11, GAMP 5, change control, vendor qualification, and data residency.
  • The Four Objections You'll Hear Internally
    • "We already run Veeva." "We have IDP tools." "We use Copilot." "We could build this." Including an honest answer on build-versus-buy.
  • The Business Case
    • Four inputs you already have, and the math that follows from them.
  • Seven Use Cases
    • Intake automation, technical compliance, format coverage, grounded AI content, legacy migration, CRO content normalization, and health authority correspondence.

Who should read this

Heads of Regulatory Affairs and Regulatory Operations at pharma, biotech, and medical device organizations running Veeva Vault, and the IT, quality, and data leaders they'll need to bring along.

Outcomes you can expect

  • A cost model you can take to a steering committee
  • A validation conversation you can start with your quality team
  • Answers to the objections you'll hit internally
  • Coverage across content Vault wasn't scoped for

Proof points

Adlib runs in production inside validated, Part 11-governed environments across a substantial share of the world's largest pharmaceutical manufacturers, including one top-ten pharma processing well over 100 million pages annually.

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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.