As artificial intelligence evolves, businesses are moving beyond traditional automation towards intelligent, autonomous AI systems that drive efficiency and competitiveness. In our recent webinar, Evandro Barros (Chief AI Officer at MetadataH) and Marcelo Burkard (Tech Solutions Manager) explored how Agentic AI is redefining business automation, optimizing operations, and reducing costs. 

Didn’t have a chance to attend the live session? You can watch the full webinar on-demand here: 

If you missed the session, here’s a recap of the key insights shared during the event. 

What is Agentic AI? 

Unlike traditional automation, which follows predefined rules, Agentic AI is self-adaptive, capable of reasoning in real time, and operates autonomously. It plans, makes decisions, and adapts based on changing business environments, making it a game-changer for organizations looking to scale efficiency. 

Key benefits of Agentic AI: 

• Automates complex workflows with minimal human intervention 

• Improve decision-making by analyzing vast datasets 

• Enhance operational efficiency by optimizing processes in real time 

• Boosts business competitiveness by adapting to market shifts 

Real-world AI use cases: how AI transforms energy and compliance 

During the webinar, Evandro Barros shared that companies are already implementing Agentic AI in their operations. He presented real cases he is currently working on in the energy and compliance industries. 

AI in energy trading: optimizing Natural Gas market decisions 

A Houston-based energy trading company struggled with: 

• Information overload: analysts faced an overwhelming volume of market data 

• Complex predictive models: conflicting insights slowed decision-making 

• Diverse data sources: weather forecasts, storage reports, and market feeds 

AI-driven results: 

• 60% reduction in data analysis time: cutting analysis from 40 minutes to just 26 seconds 

• 22% increase in trading profitability: AI-powered decisions led to better market positioning 

• Improved market responsiveness: AI agents provided real-time predictive insights 

AI in compliance: automating risk and regulatory processes 

A large corporation faced challenges in processing thousands of documents to comply with Data Protection Laws. Manual compliance checks were: 

• Time-consuming and costly: document analysis took weeks 

• High-risk: non-compliance could result in fines up to R$ 50m per infraction 

AI-driven results: 

• 80% cost reduction: AI-driven compliance slashed operational costs 

• Weeks to minutes: AI agents processed and classified sensitive data instantly 

• Regulatory adherence: the system analyzed 1,276 documents, detecting compliance violations in SSNs (89.42%), emails (38%), and logins (72.10%) 

Measuring Agentic AI success: key business metrics 

Companies integrating AI should monitor: 

• Efficiency gains: reduction in manual processes 

• Cost savings: lower operational expenses 

• Decision speed: faster response times with AI insights 

• Compliance accuracy: higher regulatory adherence rates 

Tracking these KPIs ensures sustainable AI-driven business growth.