At the Reuters Digital Data Operations & Governance (DDOG) 2025 summit, Verdantis shared its forward-looking vision for transforming MRO with Agentic AI. Kumar Gaurav, our Chief Executive Officer, presented a compelling perspective on how AI agents are reshaping the maintenance landscape, not just as assistants, but as intelligent collaborators.
For over two decades, Verdantis has been a leader in MRO data management. Today, we’re pioneering a new era, building AI Super agents that bring real-time context, autonomy, and intelligence to every corner of the MRO ecosystem.
Kumar illustrated this shift with a real-world scenario from a leading Oil & Gas enterprise. Despite best-in-class ERP and CMMS systems, they still faced challenges- stock-outs, aging inventory, and inefficiencies-that traditional tools couldn’t solve.
The core insight?
MRO is still broken-not due to lack of tools, but due to lack of context and collaboration.
View the complete presentation shared by Kumar Gaurav at the Reuters DDOG 2025 summit. The slides outline how Verdantis is pioneering Agentic AI to transform the MRO landscape, enhance collaboration, and drive data-led operational efficiency.
Good afternoon, everyone.
My name is Kumar Gaurav, and over the next 15 to 17 minutes, I want to leave you with two key messages:
1. Agentic AI is how we see the future unfolding - where humans and intelligent agents collaborate seamlessly.
2. This evolution is not just theoretical. It’s already redefining operations across asset-intensive industries like Oil & Gas.
Let me begin with a real-world scenario.
A CEO of a leading integrated Oil & Gas company in the US recently shared with me - despite investing years of effort and significant resources into digital transformation and advanced technologies, their reserves and results still haven’t matched expectations.
They continue to struggle with inventory risks, obsolescence, and unplanned downtime.
It’s not that they haven’t seen any improvements, but the scale of impact has been underwhelming.
This isn’t an isolated case.
We’ve seen this across the industry - a kind of invisible barrier to operational excellence.
What’s Going Wrong?
Despite billions invested in digital programs, especially around inventory and asset management, results are falling short.
In fact, only 30% of digital initiatives make it beyond pilot phase.
So, the obvious question is - why?
What’s not working?
At Verdantis, we’ve tried to explore this challenge through our own lens, built on 20+ years of experience, working with global enterprises across sectors.
Over the years, companies have tried three main strategies to achieve transformation goals:
1. Relying on Subject Matter Experts (SMEs)
2. Building out Technology Stacks and Automation
3. Now, emerging - Agentic AI
When you compare these three, Agentic AI clearly stands out - not only in terms of performance, but also in adoption and scalability.
Why?
• AI Agents can now perform complex tasks in parallel, which was never possible before.
• More importantly, they are evolving into goal-focused collaborators - shifting from reactive tools to proactive, intelligent assistants.
One of the biggest blockers in digital programs is adoption.
Agentic AI helps overcome this by embedding intelligence directly into the workflows.
What Does the Industry Say?
According to McKinsey Institute, agentic AI is not a passing trend - it’s a strategic evolution.
They highlight three major shifts with context-aware AI agents:
1. Precision beyond human capability
2. Exponential speed and responsiveness
3. Scalable, linear execution at a fraction of traditional cost
Demonstrating the Value of Agentic AI
Let’s now look at how we’re implementing these agents at Verdantis, starting with:
1. AutoDoc AI - Your Document Intelligence Agent
2. AutoEnrich AI - Smart MRO Enrichment Engine
3. Inventory360 - AI-Powered Inventory Optimization
So, Who Are We?
We are Verdantis - a pioneer in Agentic AI for MRO.
Our AI agents are being used by customers across the upstream, midstream, and downstream value chain.
The value we deliver focuses on three key areas:
1. Inventory Optimization
2. Effective Spare Part Management
3. Reducing Unplanned Downtime
Final Thoughts
To wrap up - if you remember nothing else from this session, remember this:
Agentic AI is the force multiplier MRO has been waiting for.
At Verdantis, we truly believe that intelligent agents - acting as virtual collaborators - will help bridge the long-standing gap between digital ambition and real-world execution.
Based on our two-decade journey, we see this as the next logical leap in enterprise asset and inventory management.
Thank you for your time.
Extract, Enrich & Sync Technical Data to ERP Systems
AI led enrichment tool for data harmonization
AI-powered parts and inventory management software
Oil and Gas organizations face huge unwanted costs in the form of losses, penalties and compensation due to industrial accidents, taking a sizable chunk of their revenues. One of the important reasons for failures and accidents is the breakdown of key industrial infrastructure arising from ineffective management of the material base and inefficiencies in the MRO supply chain that are highly critical for the production and maintenance cycles.
More and more organizations are now looking to establish Master Data Management (MDM) implementations in order to manage their assets through informed decision-making based on reliable data and ensure optimal industrial safety across the enterprise.
About the company:
This US based company is a global leader in providing essential mechanical components for both land and offshore drilling rigs, complete drilling and well servicing rigs, as well as a comprehensive range of tubular inspection, internal coatings, drill string equipment, lifting and handling gear, and downhole drilling tools. It also offers supply chain services through distribution centers strategically located near major drilling and production sites worldwide. With over 800 manufacturing, sales, and service centers globally and annual revenues exceeding $12 billion, the company delivers customer-focused solutions tailored to meet the energy industry’s quality, productivity, and environmental needs.
The company faced significant challenges with their master data.
• Lack of consistency and standards for the master data
• Incorrect, incomplete, unclassified and outdated attribute fields of master
data High volumes of data in multiple languages
• Multiple ERP and other legacy instances across the company
• Poorly structured material descriptions
• Lack of data governance and collaboration across cross-functional divisions and locations
Solution: Material Master Data Harmonization & Ongoing Maintenance
The company implemented Verdantis Material Harmonize to cleanse and enrich its historical material master data. Using AI-powered tools and the Verdantis Content Repository, the solution classified, standardized, and eliminated duplicate materials.
Once the data was harmonized, Verdantis Material Integrity was deployed for ongoing data governance. It ensured continuous data accuracy through real-time validation, AI-driven classification, and duplication prevention, maintaining high data quality across enterprise systems.
Key Actions Taken:
Results Achieved:
By integrating Material Harmonize & Material Integrity, the company achieved a scalable, AI-powered Master Data Management framework, ensuring long-term data consistency, efficiency, and compliance.
