Agents are becoming an increasingly common presence in many businesses, helping employees to be more efficient and productive.
As one of the world’s leading data companies, Oracle is looking to help lead the way when it comes to the integration of AI agents into the workplace, and at its recent Oracle AI World Tour London event, it unveiled a number of new releases and tools in that vein.
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The world of AI
“In the world of AI, you’re on a fast track,” Loaiza said, “the technology is developing so fast, and the adoption is so fast, it’s like we’ve never seen it before.”
“AI is moving at an extraordinary speed, so we have to keep up with that speed,” he notes, “there are so many parts to this thing! Everything is an agency now…so we’re putting a lot of work into agents, in a lot of different ways.”
“Obviously agents are the next big thing in AI – so we want to be able to build data-centric agents very easily,”
Oracle has announced the launch of an AI database in October 2025. Later, Loaiza says it has rebuilt the company’s entire data platform around AI, and the ability to easily build AI-centric agents is clearly a top priority for the company going forward.
Loaiza notes how “every piece of Oracle data, and every component, is AI-enabled”, with more than 100 features in its database currently powered that way.
“Everything is becoming intelligent AI and powered by AI.”
But a big part of AI’s mass adoption will be trust, Loaiza notes, describing it as, “the basic building block on which everything else must be built.”
Especially as employees continue to look to use AI to improve their productivity and efficiency, Oracle is looking to ensure that private data, whether personal or business, is kept secure in AI tools, up to the level of data, which cannot be exceeded. Customers can now define the rules of what access to the database is allowed, so if any data is changed, the mechanism will step in, ensuring that when the AI processes the data, there is no chance of error or corruption – hopefully.
“There is no magic bullet,” Loaiza admits, “so what we are building are different ways to improve trust for different types of work and different types of users.”
Loaiza identifies three levels of trust, ranging from what is required of an experienced workplace user such as a software engineer, to an ordinary employee, such as an HR employee, down to a member of the public.
“What we need to understand is, the goals are different at these levels,” he said, “we’re starting to learn that AI is not one homogeneous thing – you have to distinguish different use cases, with different needs, different levels of trust required – and that’s part of the whole learning process of the new world we’re entering.”
Loaiza admits that trust is the “biggest challenge going forward” for the level of trust given to AI, noting that even natural language questions can be confusing or poorly defined, so AI can get the wrong answer due to misunderstanding your question.
There is no doubt that AI can offer great benefits to workers everywhere – Loaiza says he sees the main benefits of the technology spreading throughout production, innovation and getting insights and answers from data – saying the technology can open up, “almost a different world” that opens up opportunities for all end users.
“Since the invention of computers, people have had to learn computer language to communicate,” he adds, “now computers can communicate in human language – that goes from 0.01% of people who can effectively interact with computers and data, to 100% of people!”
