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Stop paying the “trust tax” on AI. Learn how a Document Accuracy Layer makes content AI-ready (readable, validated, traceable, and audit-ready) with a practical AI-readiness checklist.
If your AI touches regulated workflows, you need an upstream accuracy layer that makes documents readable, structured, validated, traceable, and audit-ready, so downstream AI outputs are explainable and defensible.
What you’ll get:
Use this checklist to define pass/fail for AI readiness, before you deploy IDP, RAG, copilots, or agents into regulated workflows.
Checklist topics:
If you can’t pass this checklist, you don’t have defensible AI. You have automation risk.
Best-fit readers:
Use the eGuide’s workflow examples to spot your “first wedge”:
Q: Is this just an OCR guide?
No, this is about an upstream control point that includes fidelity, extraction, validation, and traceability (not “just OCR”).
Q: Do I need to replace my ECM/RIM platforms?
No, this approach is explicitly positioned as modernizing in place (not rip-and-replace).
Q: Why does this matter for RAG/copilots?
Because RAG fails when retrieval misses context, can’t cite evidence, or outputs aren’t reproducible, often due to upstream document issues.
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.
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.
Insurance giant automates heavy admin work in claims, saving millions
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.
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.
“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
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.
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.
“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
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.
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.
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.