Reuters El petróleo y el gas impulsados por los datos EE.UU. 2025

				
					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.