Only Adlib brings precise and scalable automation and comprehensive coverage of all document workflows, powering the word's most complex, critical processes at Pfizer, Boeing, BP and more.
For over two decades, Adlib has processed billions of mission-critical documents for the world’s leading life sciences, energy, manufacturing, financial services, and public sector organizations.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Connect to any business platform and standardize any file into an auditable document of record.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Connect to any business platform and standardize any file into an auditable document of record.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Connect to any business platform and standardize any file into an auditable document of record.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Use industry-tuned extraction powered by PrecisionPaths (preconfigured settings) to go from scattered content to AI-ready data, fast.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Convert any supported format, including scans and complex CAD, into searchable, standardized digital formats (such as PDF/PDF-A) ready for downstream workflows, archiving, and AI consumption.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Automatically assemble, merge, and format controlled documents with rules-based automation, adding tables of contents, bookmarks, page numbering, and branding while maintaining integrity and compliance.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Apply LLM orchestration and automated checks to flag low-trust documents, then use validation workflows to route only edge cases to human reviewers, reducing exceptions while preserving control.
Every step in Adlibʼs workflow is designed to deliver accuracy, compliance, and enterprise-ready data—ensuring your most critical documents become precise,auditable, and AI-ready.
Trigger downstream updates, notifications, or retraining workflows automatically, with full audit trails on every document’s journey.
Adlib applies configurable, accuracy-driven rules to streamline repetitive document workflows - from intake and conversion to validation and delivery - so your teams can focus on high-value decisions, not low-value manual tasks.
Improve the efficiency of IT assets with live performance analytics empower data-driven resource allocation.
Optimize demand on server and processing resources
Reprioritize critical jobs to handle spikes in volume
Connect to existing enterprise monitoring tools (e.g., Grafana)
Stand up validated, AI-ready document pipelines in days instead of months using PrecisionPath industry solutions and pre-built integration starters.
Reduce non-compliance tied to technical inconsistencies with pixel-perfect rendering
Preserve original content fidelity for long-term access and preservation
Scale to changing business demands with a modern, container-ready architecture built for high-volume, dynamic environments.
Leverage REST APIs to connect to any system
Reduce server footprint and infrastructure costs
Minimize IT intervention with set-and-forget deployments
Increase automation and productivity by extending the value of your existing platforms and teams, starting from pre-built workflows, models, and demos in the Adlib Solution Hub instead of building from scratch.
Smooth out document workflows by removing manual interventions
Reduce administrative burden on knowledge workers and increase throughput
Improve the success rate of digital transformation initiatives
Blend smart automation with expert oversight so high-stakes decisions always have the right level of human review.
Let the system handle repetitive tasks while experts review edge cases
Free specialists to focus on improvements, analysis, and innovation
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.
“When we made the decision to change rendering solutions, we looked towards 3 separate vendors. Overall, Adlib seemed more mature as a software option.” – Enterprise Information Management Manager & Principal
Legacy conversion software struggled to support the volume of engineering files, leading to increased IT intervention and support. Additionally, delays in converting CAD drawings to sharable formats hampered information exchange across the organization, causing production delays and heightened risk. The conversion of layered vector-based CAD files into flat TIFFs resulted in unsearchable formats and the loss of layer previews, causing frustrations, delays in the field, and poor information archival practices.
For the C-Suite, implementing the new system led to improved efficiencies and productivity in the field, reduced operational costs associated with administrative burdens, and future-proofed patented engineering drawings, minimizing the number and duration of legal issues. Engineers and contractors benefited from saved time on administrative tasks and faster, smoother information retrieval and exchange. For IT, the system reduced resource demands, lowered intervention and support requirements, and resulted in a smaller server footprint and infrastructure costs.
Bank eliminates 95% of manual steps in archiving 20k daily trade documentation with Adlib
The bank faced significant operational challenges, including process inefficiencies and cost inefficiencies, as well as risks of non-compliance. The inability to render all trade transaction documentation in a timely manner meant failing to meet service level agreements (SLAs), while volume limitations hindered the processing of the required 20,000 documents per day. Complex tasks like document compilation were performed manually, further exacerbating inefficiencies. These issues led to an increasing overhead budget to accommodate a growing backlog and rising IT expenses for server infrastructure to support expanding unstructured data. Additionally, inconsistent archival practices and an archival backlog exposed the organization to the risks of non-compliance with Sarbanes-Oxley Act (SOX) and Securities and Exchange Commission (SEC) regulations.
For the C-Suite, implementing the new system reduced the risk of non-compliance and lowered costs due to increased staff efficiencies, while ensuring long-term, secure storage of documentation in line with SOX and SEC regulations. Knowledge workers benefited from spending less time on low-value document handling and enjoying hassle-free document compilation. For IT, the system reduced storage and server footprint, lessened the demand for intervention and support, and integrated easily with existing document input and content management systems.
“I would happily give Adlib a positive referral. They deserve a 10 out of 10, as I view them as the strongest option available.” – Sr. System Analyst
This energy company faced significant challenges in managing and processing a diverse range of documents, including various formats and CAD files, within their existing document management system. The manual processes required for document ingestion, conversion, and compliance creation were time-consuming and prone to errors, leading to inefficiencies and inconsistencies. Ensuring standardized regulatory reporting and compliance with data retention and operating procedures was difficult, impacting both internal operations and interactions with external stakeholders and regulatory bodies.
The company integrated Haistaq into their existing document management system. This integration enabled the automatic ingestion, conversion, and creation of compliant documents from various formats and CAD files, streamlining accessibility across the organization, external stakeholders, and regulatory bodies. The highly automated process required minimal human intervention, ensuring consistent and standardized regulatory reporting and compliance with data retention and operating procedures. As a result, this energy giant achieved greater efficiency, reduced errors, and enhanced their ability to meet regulatory requirements, improving overall operational effectiveness and stakeholder satisfaction.
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.
Nuclear power leader ensures enterprise-wide compliance with Nuclear Regulatory Commission
To comply with the Nuclear Regulatory Commission’s (NRC) requirements to archive all documentation in a specific PDF format for 60 years, the company used manual workflows to convert volumes of Excel and Word reports and JPEG and TIFF graphs and charts. This labor-intensive workflow resulted in delays, format errors, and growing overhead.
Adlib's seamless integration with the company's Dassault PLM system streamlined the archival process by automatically converting documents into compliant PDF formats, complete with precise formatting elements such as headers and footers. This automation not only ensured standardized compliance, significantly reducing the risk of fines, but also eliminated manual labor and ballooning labor costs. The solution adeptly met the demands of both volume and scalability, enhancing overall business efficiency and document-management efficacy.
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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.
Yes. Adlib includes enterprise-grade OCR applied across the entire document (text,graphs, images, and CAD drawings) producing fully searchable, machine-readable content suitable for AI, BI, BPA, and RPA platforms.
No. The Adlib platform does not require native applications (like CAD tools or legacy editors). It handles complex formats and converts them into searchable PDFs or other standard formats that are easy to manage, analyze, and archive.
Adlib is designed as an agentic document intelligence layer that connects upstream sources (mailboxes, shared drives, scanners, line-of-business systems) to downstream platforms like ECM, PLM, RIM, QMS, MES, ERP, case systems, data lakes, and AI tools. It integrates via REST APIs, connectors, MCP support, and n8n workflows, so you can automate ingest → convert → extract → validate → assemble → deliver without disrupting existing applications.
Adlib converts CAD files like DWG while preserving layers and key design information from applications such as AutoCAD and SolidWorks, maintaining visual fidelity and technical integrity.
PrecisionPath industry solutions (or PrecisionPaths) are ready-to-deploy accuracy frameworks for regulated industries. Each kit bundles pre-configured extraction models, use-case-specific prompts and settings, validated demo environments, and integration starters for platforms like ENOVIA, CARA, Honeywell, and Guidewire, helping youstand up AI-ready document pipelines in days, not months.
Document automation rules let you define how documents are ingested, processed, and rendered. For example, you can ingest only documents from a specific department or with certain metadata, and then apply formatting, security, or assembly logic based on document type or metadata.
Adlib Transform is the AI-enabled document workflow automation platform that turns messy, unstructured documents into accurate, compliant, AI-ready data at scale, that supports:
Adlib PDF converts over 300+ file types including Visio, CAD, TIFF and various other current and legacy formats. You could render both CAD and Visio and merge them into a single document.
Advanced Rendering uses Adlib’s no-code, rules-based module to build complex document automations. You can split large files, merge multiple formats, auto-generate tables of contents, add bookmarks and watermarks, validate links, standardize fonts, and even build tables from metadata, producing archive-ready documents of record aligned with regulatory requirements.
Adlib Accuracy Score (sometimes called Adlib Trust Score) is a proprietary measure of document reliability introduced in Transform 2025.2. It uses multi-LLM voting, hybrid confidence scoring, and layered validation signals to evaluate extracted data and select the most trustworthy result, which can then drive routing, gating, or human-in-the-loop review. This gives AI teams a numeric, auditable way to decide which documents are safe to feed into GenAI and which need additional scrutiny.