Proactive enterprise agents are AI-powered tools designed to help organisations monitor systems, identify issues and resolve them with minimal human intervention. Acting as built-in assistants, they can analyse data in real time, predict issues and take corrective action, before a problem escalates. 

Their introduction marks a shift from reactive support towards more proactive IT management. 

Oracle has announced plans to release new enterprise AI applications which are hoped to deliver secure AI productivity benefits. The announcement was made at the AI World Tour in London, a showcase of the latest development in AI. 

It is hoped that these developments will support smooth operations of businesses and can be used for spotting both internal issues and external security risks. 

Oracle’s Fusion Agentic Applications will be made up of various AI agents with defined objectives, which will work collaboratively to oversee systems. The agents will be built into Oracle Fusion Cloud Applications and are expected to support various business functions including sales, HR, payroll and supply chain. 

Steve Miranda, EVP Oracle Applications Development reportedly said: “The way work gets done no longer matches the speed, complexity, or expectations of modern business as too much time is spent managing processes instead of driving outcomes.

Oracle has suggested this development represents a shift from task orientated AI agents to outcome focused agents. The technology will automate setting new objectives, as the agents intuitively understand how to monitor systems. 

The Role of Data

Gartner has predicted that 60% of IT operations will incorporate AI agents in some form by 2028.

Enterprise Agents will work with existing company tools, pulling information from files or databases and be able to respond, ideally, how a trained professional would. 

Enterprise agents effectiveness depends on their ability to access, interpret and act on the information available to them. 

Unlike traditional automation tools, enterprise agents are developed to work across multiple data sources simultaneously, giving them greater access to information, and allowing them to update their knowledge base at all times as company files and databases are updated – giving them a cohesive and current view of business operations. 

By considering all information sources and functions across a business environment, the agents are expected to be able to make more informed, contextualised decisions – rather than considering decisions and outputs in silos. 

The agents will be able to identify patterns, identify anomalies and predict issues. This will allow organisations to shift from reactive decision-making to proactive operations.

However, the growing reliance on data brings familiar challenges, with risks to decisions of incomplete or inaccurate data and information in systems. As well as well-known concerns of privacy which comes from providing AI technologies with company, and often sensitive, information. 

Recommended reading

• AI Agents Are Transforming Enterprise AI Adoption
• New Whitepaper Reveals Urgent Agentic AI Security Risks
• Report: 1.5 Million Enterprise AI Agents At Risk of ‘Going Rogue’

Future Outlook

While Oracle’s launch marks a significant development in their AI development, it is likely we will see similar launches from competitors in the not too distant future too.

Industry research and market trends suggest that many major technology companies are rapidly moving in the same direction, creating a new and growing agentic AI market.

As with the broader AI market, consumers are likely to demand tools which deliver clear ROI, and balance human oversight with autonomous action.

This market is in a relatively early stage of maturity. However, a recent report, suggested that the global market for Agentic AI is set to grow significantly from $7 billion in 2025 to approx. $140 billion by 2034 – an indicator of business demand for autonomous decision making capabilities and proactive IT management solutions.