������Ƶ

Miranda Nash

June 12, 2025 21:59

As we journey through what many have dubbed the “Year of AI” it seems that most, if not all, organizations have one thing in common: we are getting serious about artificial intelligence agents.

In fact, Deloitte predicts that this year 25 percent of companies that use generative AI will launch agentic AI pilots or proofs of concept, and this number will grow to 50 percent by 2027. 

AI agents have quickly passed the compatibility test and are destined to become devoted partners for business leaders.

AI agents are the future of autonomous work for organizations. They help increase the speed and accuracy of business processes by automating workflows. This includes processing high volumes of data, performing real-time analyses, and executing multi-step, end-to-end processes.

Take, for example, the process of onboarding suppliers, logistics providers, or government authorities. This has traditionally been a laborious financial process with multiple manual steps, but that is about to change. AI agents can help finance teams by reviewing images or PDFs and quickly standardizing and converting these documents into requisitions, invoices, or payment instructions ready for employee review and approval.

The best part is that with AI agents autonomously and successfully executing frequent, repetitive tasks, employees can focus their time on more strategic initiatives. In fact, according to a recent survey from Capgemini, 64 percent of companies expect agents to free up people from repetitive tasks so they can focus on value-added functions, and a Boston Consulting Group report predicts AI will result in long-term productivity gains of up to 60 percent.

This level of assisted automation is a productivity multiplier and enables organizations to reimagine how work is done across their entire business, including finance, supply chain, HR, sales, marketing, and service.

No two relationships are the same — likewise with AI agents, which are unique in that they have the capability to learn from previous interactions and deliver personalized guidance and recommendations. This ability to continuously adapt makes AI agents particularly valuable, as they are optimized to help employees with very specific role-based tasks and responsibilities. 

By utilizing and experimenting with AI systems, business leaders are building the muscle and platform for continuous innovation.

Miranda Nash

For example, a role-based AI agent can help guide employees through HR workflows in response to significant life changes. Whether this is having a child or getting married, the AI agent can help employees take action to update their employee profiles, beneficiary claims, and better understand their new benefits packages based on personal milestones.

Another good example is in sales. An AI agent can help a sales rep produce a uniquely personalized account summary including recent activity, sentiment, and contract status. The agent can then use this overview to draft tailored customer emails that a sales rep can easily edit to match their desired tone.

AI agents are still making their way into day-to-day business operations, but as agentic systems become more accessible and sophisticated, they are transforming how organizations work and solve problems.

In the near future, we will see more mature systems with multiple autonomous AI agents working together to accomplish complex tasks and achieve shared goals. This means AI agents will collaborate with people and each other across business applications and productivity and collaboration tools bringing automation to tasks and processes that were previously out of reach and making work more enjoyable for millions of employees.

These types of agentic workflows will significantly enhance the impact of AI agents and enable organizations to move from making incremental improvements to driving business-wide transformations.

AI agents push organizations and business leaders to be better versions of themselves. By utilizing and experimenting with AI systems, business leaders are building the muscle and platform for continuous innovation.

The more business leaders use, test, and iterate with AI the better they will be at truly optimizing AI to drive quantifiable business value. Organizations that embrace AI agents will be on track to unlock new levels of productivity and accelerate business performance, while organizations that don’t will get left behind.

Now is the time to get serious and take things with AI to the next level. All signs are pointing to a long-lasting relationship that will benefit every organization.

• Miranda Nash is group vice president of applications development and strategy at Oracle