Business will love AI agents
When traveling through what many call “AI Year,” it seems that most, if not most, organizations have one thing in common. We are serious about artificial intelligence agents.
In fact, Deloitte predicts that 25% of companies using generator AI will start agent AI pilots or proof of concept this year, with the number predicting to grow to 50% by 2027.
The AI Agent will soon pass compatibility tests and become a dedicated partner for business leaders.
AI agents are the future of organizational autonomous work. Automating workflows can help speed and accuracy of business processes. This includes processing large amounts of data, performing real-time analytics, and running multi-step end-to-end processes.
For example, consider the onboarding process of a supplier, logistics provider, or government authority. This has traditionally been a laborious financial process with multiple manual steps, but it is about to change. AI agents can help teams raise funds by reviewing images or PDFs and converting these documents into quick standardization and payment instructions that prepare them for requests, invoices, or employee reviews and approvals.
The best part is that AI agents autonomously and successfully execute frequent, repetitive tasks, allowing employees to focus their time on more strategic initiatives. In fact, a recent survey by Capgemini found that 64% of companies expect agents to free people from repeated tasks, allowing them to focus on value-added features, and the Boston Consulting Group report predicts that AI will deliver long-term productivity benefits of up to 60%.
This level of assisted automation is a productivity multiplier that allows organizations to rethink how their work is done across their business, including finance, supply chain, HR, sales, marketing, and services.
Similarly, there is no similar relationship to AI agents. This is unique in its ability to learn from previous interactions and provide personalized guidance and recommendations. AI agents are especially valuable as they are optimized to support employees with very specific role-based tasks and responsibilities.
By experimenting with AI systems, business leaders are building muscle and platforms to build continuous innovation.
Miranda Nash
For example, role-based AI agents can help guide employees through HR workflows in response to significant life changes. Whether this has children or is married, AI agents can help employees update employee profiles, update beneficiaries' claims, and take action to better understand the new benefits package based on personal milestones.
Another good example is sales. AI agents help salespeople create their own personalized account summary, including recent activities, emotions, contract status, and more. Agents can use this overview to draft customized customer emails that can be easily edited to the desired tone for easy editing by salespeople.
AI agents are still in the way of daily business operations, but as agent systems become more accessible and refined, they are changing how organizations work and solve problems.
In the near future, more mature systems will be seen in which multiple autonomous AI agents can work together to achieve complex tasks and shared goals. This allows AI agents to work with people and each other through business applications, work together with productivity and collaboration tools, bringing automation to previously out-of-coming tasks and processes, making work more enjoyable for millions of employees.
These types of agent workflows significantly improve the impact of AI agents and enable organizations to drive business-wide transformation from progressive improvements.
AI agents push organizations and business leaders to make them a better version of themselves. By experimenting with AI systems, business leaders are building muscle and platforms to build continuous innovation.
The more business leaders use, test and iterate with AI, the more they will truly optimize AI and promote quantifiable business value. Organizations employing AI agents will go smoothly to unlock new levels of productivity and accelerate business performance, but organizations that are not left behind will be left behind.
Now is the time to get serious and take AI to the next level. All signs refer to long-term relationships that benefit all organizations.
• Mirandan Nash is Oracle's Vice President of Application Development and Strategy Group
Disclaimer: The views expressed by the writers in this section are unique and do not necessarily reflect the Arab news perspective
