Webinar
AI-Powered Asset Integrity: What's Possible, What's Working, and What's Next
Live Webinar | Hosted by Cognascents
About This Webinar
AI is being applied to asset integrity work right now, not as a future concept, but as a proven delivery model with documented results. This webinar is a practical, engineering-focused session that explains how AI-accelerated workflows are changing what’s possible in RBI, CCD/IOW development, and integrity program delivery.
We’ll cover where AI adds real value in the integrity delivery process, how it compares to traditional approaches on timeline and quality, and how organizations are using AI to increase program coverage and reduce implementation timeline without a proportional increase in engineering hours. Most importantly, we’ll address how AI supports, and does not replace, SME judgment, with engineers focused on analysis, review, and decision-making rather than data preparation.
Learning Objectives
By the end of this session, attendees will understand:
✔ How AI is being applied across core asset integrity workflows, including Risk-Based Inspection (RBI), Corrosion Control Documents (CCDs), and Integrity Operating Windows (IOWs)
✔ Which steps in the integrity delivery process benefit most from AI acceleration — including data structuring, circuitization, and damage mechanism identification
✔ How AI-assisted workflows compare to traditional approaches in terms of timeline, deliverable quality, and program coverage
✔ How organizations are using AI to increase consistency and completeness across integrity deliverables without a proportional increase in engineering hours
✔ How AI is being used to support — not replace — SME judgment, with engineers focused on analysis, review, and decision-making rather than data preparation
Who Should Attend
This webinar is designed for professionals across the asset integrity and process industries, including:
· Mechanical Integrity and Inspection Engineers and Supervisors
· Corrosion, Materials, and Fixed Equipment Engineers
· Asset Integrity and Reliability Managers and Directors
· Process Safety Professionals supporting integrity and risk programs
· Operations and Maintenance Leaders responsible for program performance
· Plant Managers and Technical Directors evaluating AI adoption strategies
· Engineers and program leads in refining, chemicals, midstream, and upstream facilities
· Anyone responsible for the quality, consistency, or scalability of an asset integrity program
Reserve Your Seat
AI-Powered Asset Integrity: What’s Possible, What’s Working, and What’s Next
Register below to secure your spot. A confirmation and joining link will be sent to your email.
Webinar Details
Date: May 20, 2026
Time: 11:30 AM CST
Duration: 60 minutes
Format: Live webinar with Q&A
Meet the Presenter
JUSTIN DAARUD
Director of Asset Integrity & Reliability · COGNASCENTS
Justin is an experienced mechanical engineer with over 18 years of experience in the asset and mechanical integrity program management field. He has pioneered the development, implementation, and execution of AI-assisted engineering tools to accelerate program delivery, improve technical consistency, and generate defensible, data-driven integrity insights at scale. Justin leads the asset integrity and reliability team for Cognascents.
AI-Accelerated Delivery
The results behind the technology.
Cognascents’ AI-accelerated delivery models have been developed in-house with our domain expertise across asset integrity and process safety. Proven workflows that deliver not just faster, but better: more comprehensive engineering review, broader standards coverage, and higher rigor and consistency than conventional delivery can sustain. Every phase includes a mandatory hard-gate SME review. AI accelerates the timeline. Our engineers own every output.
20–50%
Reduction in delivery timelines
100%
SME review & sign-off on every deliverable
|
RBI Risk-Based InspectionAI-accelerated circuit identification, damage mechanism review, and API 581 risk analysis — 100% SME-reviewed and inspection-ready. |
CCDs Corrosion Control DocumentsAI supports CCDs per API 571 and 970 — damage mechanisms identified, cross-referenced, and SME-reviewed before delivery. |
IOWS Integrity Operating WindowsAI supports IOW development per API 584 — operating limits defined, parameters validated, and engineer-approved before delivery. |
“AI accelerates the delivery timeline. Engineers interpret, validate, and stand behind every output. No exclusions.”
Related Cognascents Solutions
At Cognascents, we have the expertise to meet your specific needs. Explore the variety of related services we offer and discover how our tailored approach can benefit your operations.
Can’t make the live session? Register anyway and we’ll send you the recording. Have questions before the webinar? Talk to one of our engineers directly.
