The Cost of Unplanned Downtime—And How to Avoid It
Imagine this: a critical piece of equipment in your plant suddenly fails. Production halts, teams scramble to troubleshoot, and every passing hour racks up hundreds of thousands of dollars in losses. Sound familiar?
For Chemical and Oil & Gas (O&G) companies, unplanned downtime is more than just a headache—it’s a multi-million-dollar problem. Equipment failures lead to lost production, safety risks, and skyrocketing maintenance costs. Despite these risks, many plants still rely on reactive maintenance, where issues are fixed after they cause major disruptions.
But what if you could predict and prevent failures before they happen?
How AI-Powered Digital Operators are Changing the Game
For years, plant operators have relied on manual checklists, spreadsheets, and siloed data systems to keep things running. The problem? These outdated processes don’t provide real-time insights, making it impossible to catch small issues before they become big problems.
This is where AI-powered Digital Operators come in. These intelligent solutions connect people, processes, and technology, giving operators real-time visibility into equipment health and plant performance.
Here’s how they help:
✅ Dynamic Rounds – Replace paper-based checklists with digital plant rounds, ensuring operators collect accurate data and spot anomalies early.
✅ Automated Issue Creation – AI-powered agents log, track, and resolve issues in real-time, reducing response times and eliminating manual errors.
✅ Seamless System Integration – Break down data silos by connecting ERPs, historians, SCADA, and APM systems to create a single source of truth for asset performance.
✅ AI-Powered 5 Why Analysis – Get to the root cause of failures faster, helping teams fix problems permanently instead of applying short-term band-aid solutions.
✅ Shift Handover, Reimagined – Forget clunky spreadsheets and incomplete reports. AI ensures smooth shift transitions by automatically capturing and sharing critical insights.
What’s the ROI? 40% Less Downtime & Higher Productivity
AI-powered Digital Operators aren’t just theoretical solutions—they’re already transforming plant operations at some of the world’s biggest companies.
Take Indorama Ventures and Shell, for example. By implementing AI-driven solutions, they’ve seen:
- 40% reduction in unplanned downtime
- Fewer equipment failures and maintenance costs
- Improved safety and compliance
- Higher workforce productivity
Join Innovapptive’s exclusive webinar, "Preventing Unplanned Downtime in Chemical & O&G Plants," on March 18, 2025, at 10:00 AM CST, and learn how AI-powered Digital Operators are helping companies like Indorama Ventures and Shell reduce downtime by 40%.
Meet the Expert: Sri Karthik
Sri Karthik, EVP - Solutions and Value Engineering, Innovapptive
Sri Karthik is a recognized leader in digital transformation and operational excellence for the Chemical and Oil & Gas industries. He’s worked with top companies to implement AI-driven maintenance strategies, helping them reduce downtime and improve asset reliability. In this webinar, he’ll share real-world case studies and actionable insights you can apply right away.
Who Should Attend?
This webinar is perfect for anyone responsible for keeping plant operations running smoothly:
- Plant Managers & Operators looking for smarter, AI-driven solutions.
- Directors & VPs of Operations focused on reducing downtime and increasing efficiency.
- Digital Transformation & Innovation Leaders driving AI adoption.
- Operations & Asset Performance Leaders seeking data-driven improvements.
If you want fewer disruptions, higher productivity, and smarter operations, this webinar is a must-attend.
Save Your Spot – Register Now!
- 📅 Date: March 18, 2025
- ⏰ Time: 10:00 AM CST
- 📍 Location: Virtual Event
🔗 Register Now – Seats are filling up fast!
Don’t wait until the next costly shutdown to make a change. Learn how AI-powered Digital Operators can help you stay ahead of failures, boost reliability, and maximize productivity.
See you at the webinar! 🚀
