A 10-episode series for CIOs and Quality/Regulatory leaders in life sciences, precision manufacturing, and energy that shows how to turn PDFs, scans, CAD, SOPs, logs, and incident packs into governed, validated, AI-ready data, so GenAI/RAG deliver measurable accuracy, lower costs, faster audits, and fewer downstream failures.
This series distills what the latest analyst findings and our field work both prove: AI only pays off when the document layer is trustworthy. Across life sciences, precision manufacturing, and energy, most “AI problems” are actually upstream content problems: batch records, CAD, SOPs, logs, and incident packs trapped in PDFs, scans, and legacy formats. We unpack the playbook that’s winning right now: normalize and validate documents first; add governance and auditability; then apply automation and GenAI where it’s safe and repeatable.
Listeners get sector-specific guidance (clinical trials, pharma manufacturing, PLM in manufacturing and energy, regulatory/incident reporting) plus market context, the 2024→2025 maturity jump, cost/controls, and a strategy roundtable. Core themes include: consolidating capture/post-processing into orchestrated workflows; proving accuracy and explainability; handling data-sovereignty with hybrid/on-prem patterns; and using agentic automation to remove repetitive human touches while preserving traceability.
CIOs, Heads of Quality/Manufacturing/Regulatory, Chief Data & Compliance leaders who need measurable accuracy gains, lower processing costs, faster audits/submissions, and fewer downstream failures in PLM/MES/ERP/LLM systems.
A pragmatic, step-by-step operating model to move from pilots to governed scale, showing your math on accuracy, cycle time, risk reduction, and OPEX, so AI initiatives stop stalling at the input layer and start compounding value across the enterprise.
Episode 1
The IDP market is growing. What’s winning: orchestrators with guardrails that ensure accuracy, explainability, and low-cost experimentation — plus a pragmatic view that GenAI is increasingly commoditized and must be wrapped in governance. MIT reports 95%of enterprise GenAI initiatives show no P&L impact; only ~5% of task-specific tools reach production.
Episode 2
Unstructured content drains millions by delaying approvals and derailing AI initiatives. Gartner predicts 60% of AI projects unsupportedby AI-ready data will be abandoned by 2026. Enterprises move past template capture to multi-engine validation and domain-tuned GenAI, but governance gaps remain the #1 adoption risk. Learn how to avoid failed AI ROI by investing in clean, contextualized data.
→ Discover the Real Cost — Coming soon
Episode 3
Life sciences wins come from validations, audit trails, and governance. Regulators now look beyond “documents” to the data inside them; teams that standardize and structure content ahead of Vault/RIM accelerate approvals and gain audit-readiness advantages. Everest Group finds ~55% of CXOs say high-quality, trusted data is among the top 3 AI success factors through 2026–27.
→ Listen Now & Unlock Faster Approvals
Episode 4
Manufacturing ops still lean on-prem for privacy; winners normalize then validate data, automate repetitive tasks, and maintain governance to prove every change. Deloitte reports 78% of manufacturers now allocate over 20% of improvement spend to smart manufacturing and foundational data capture/analysis.
→ Listen Now & Modernize Your Shop Floor
Episode 5
Product lifecycle documentation is shifting: mid-market and heavy manufacturing doubling down on searchable, metadata-rich PDFs and governed capture to cut costly rework. Deloitte notes that manufacturers advance along the “maturity curve” by connecting and analyzing operational and enterprise data. Learn how to clear CAD backlogs and integrate reliable content into PLM.
→ Listen Now & Fix PLM Bottlenecks
Episode 6
Energy and utilities are among the top five IDP adopters. Leaders are converting complex engineering and field records into standardized, compliant PDFs to improve safety, maintenance, and incident response. Without governance, Everest Group warns, advanced AI won’t deliver meaningful outcomes.
→ Listen Now & Power Up Compliance
Episode 7
Compliance reporting and case-centric workflows are key growth drivers, with Customer Support and case management seeing yearly growth. Enterprises converting raw logs and vendor files into governed, traceable evidence packs are gaining faster audits and regulatory clearance.
→ Listen Now & Build Rock-Solid Evidence
Episode 8
Leaders are moving from data capture to governed orchestration, embedding GenAI and agentic automation into workflows. Everest Group’s 2025 survey shows that organizations who fail to adapt data management for AI endanger the success of their initiatives. Understand how domain-tuned models and validation at scale are pushing projects beyond pilot purgatory.
→ Listen Now & Learn the 2026 Playbook
Episode 9
Boards are demanding measurable ROI, accuracy, and explainability. Governance frameworks (EU AI Act, data residency) are reshaping buyer priorities. Gartner and Everest Group both warn: without AI-ready, trustworthy data, investments won’t scale or deliver ROI. Companies pairing preprocessing with compliance controls are reporting sharp OPEX cuts and fewer manual processes.
→ Listen Now & Master Data Governance
Episode 10
Analysts expects IDP growth through 2029 with agentic automation and mid-market adoption accelerating. Everest Group finds access to trusted data will remain one of the top three AI success drivers through 2026–27. Learn where to invest: regulated flows, platform consolidation, and low-risk, governed pilots to future-proof AI and automation strategy.
→ Listen Now & Plan Your Next Move

Chris Huff is a growth-focused tech and SaaS executive with a proven track record in scaling enterprise software companies backed by private equity and venture capital. He’s known for building strong teams and driving value through operational efficiency, revenue growth, and product innovation. Prior to joining Adlib, Chris was CEO at Base64.ai and Chief Strategy & Growth Officer at Tungsten Automation (formerly Kofax), where he led strategy, product, AI, GTM, marketing, and partnerships. He also co-led Deloitte’s U.S. Public Sector Intelligent Automation practice and served as a Major in the U.S. Marine Corps. Chris brings deep expertise in AI, automation, and digital transformation—and a clear vision to expand Adlib’s impact across regulated industries.


Anthony Vigliotti is Chief Product Officer at Adlib Software with 20+ years in business workflow and intelligent document processing. He started in manufacturing at Xerox, designing components for toner-cartridge remanufacture and earning a patent in the process. Seeing how outdated document processes slowed operations, he pushed for new automation approaches—momentum that led Xerox to sponsor his return to university for a master’s in Information Technology. Since then, Anthony has led product management, alliance/partner strategy, and product development across Xerox, Notable Solutions (NSi), Nuance, and Kofax. His work centers on turning unstructured content into reliable, compliant, AI-ready data that accelerates real-world outcomes in regulated industries. Anthony holds a B.S. in Mechanical Engineering and an M.S. in Information Technology, both from the Rochester Institute of Technology.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
“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.
.jpg)
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.

Leverage the expertise of our industry experts to perform a deep-dive into your business imperatives, capabilities and desired outcomes, including business case and investment analysis.