Enforcing Compliance Upstream for AI-ready Operations | IIOT World Energy Day | Adlib
Most energy enterprises have invested in historians, ALM/ALIM, EHS platforms, content repositories, and even AI, yet teams still rely on people to manually clean, transform, and validate operational documents as they move between systems. That’s where errors creep in, cycle times stretch, and compliance exposure grows.
Why “upstream” matters
If compliance and AI programs depend on downstream clean-up, you’re paying a recurring “trust tax”: manual QA, rework, exceptions, and audit scramble. An upstream-first approach puts consistency, validation, and traceability where they belong (at the point documents move between systems) so downstream automation can run faster with less risk.
What we’ll cover
- The hidden cost of manual document validation across operational systems
- A reference architecture for interoperability across PLM/ALIM/ERP/EHS
- The “trust gates” that enforce AI-readiness upstream
- Turning document automation into compliance enforcement (rules + exceptions + audit packaging)
- Metrics that prove readiness, without hand-waving
What you’ll get out of this session
In this webinar, we’ll break down how to connect fragmented processes and enforce consistency before documents hit downstream systems:
- Ingest documents from anywhere
- Normalize formats
- Preserve and align metadata across systems
- Extract key fields
- Validate against business rules
- Package documents of record ready for audit and AI
Practical takeaways (what you’ll learn)
- A reference architecture for cross-system interoperability — how to connect PLM/ALIM/ERP/EHS flows without ripping and replacing
- The upstream “trust gates” that matter for AI — format normalization, metadata preservation/enrichment, content governance, and validation before anything hits RAG/LLMs
- How to turn document automation into compliance enforcement — rule-based validation, exception routing, and audit-ready packaging (instead of ad-hoc clean-up)
- AI-readiness metrics that stand up in regulated environments — exception rate, validation pass rate, cycle time, and audit prep time (plus what “good” looks like)
Who should watch
This session is built for leaders in: Compliance, Safety/EHS, Asset Operations, Regulatory Affairs/Reporting, Innovation/Technology, and AI/Data across: Energy, Oil & Gas, Nuclear, Utilities, Energy/Pipeline Construction, Refineries.
FAQ
Is this webinar technical?
It’s designed for business and operational leaders. We’ll keep it practical and outcomes-focused, with enough detail to make the approach actionable.
Will this include AI/RAG/GenAI guidance?
Yes, specifically the upstream controls and validations that make downstream AI safer and more reliable in regulated environments.
Our Speakers
Chris Huff
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
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.
Luke Smaul
Luke Smaul is an industry GTM executive with over 20 years of experience driving digital growth and transformation. He has led large-scale, multinational initiatives for Fortune 100 companies and now advises organizations on go-to-market strategy, sales, and business model innovation. With a background spanning GE Digital, Emerson, Flashpoint, and his own firm Chakra, Luke specializes in building and scaling new revenue models across industrial sectors, leveraging IoT, edge technologies, big data, and advanced analytics to unlock growth.
