Key Takeaways:

• Kore.ai and AWS join forces to bring AI agents into Amazon Q Business.
• Enterprise search results now appear in seconds instead of minutes.
• Automated tasks like report creation and data analysis save employee time.
• Productivity can jump up to 40 percent in finance and healthcare.
• This move shows AI is becoming part of core business infrastructure.

Imagine finding any file, report, or number in seconds. Thanks to a new deal between Kore.ai and AWS, that’s now possible. They have linked AI agents to Amazon Q Business. As a result, enterprise search goes from a slow chore to an instant service. Moreover, teams can now spend more time on real work. Instead of hunting through folders, employees get answers right away.

Supercharging enterprise search with AI agents brings big benefits. First, it cuts the time spent on search tasks. On average, people spend almost one third of their day looking for information. However, AI agents can cut that down to just a few seconds. Second, these agents can run tasks on their own. They can build reports, analyze data, and even draft summaries. This means a new kind of workflow that does the heavy lifting.

How enterprise search transforms daily tasks

Before this partnership, finding data in big companies could feel like a maze. People passed through many tools and documents. They often faced outdated indexes and slow queries. Thanks to Kore.ai’s smart AI and AWS’s strong cloud, searches happen faster than ever. Also, with better natural language support, employees just type a question and get precise answers.

Moreover, these AI agents can work in the background. For example, a financial team might ask for a quarterly sales summary. The agent finds the data, creates charts, and writes a basic report in seconds. Then, the team reviews and shares it. In healthcare, doctors can ask for the latest patient statistics or treatment guidelines. Instead of spending hours searching, they focus on patient care.

Reducing search time to seconds

Employee surveys often say they lose up to 30 percent of their workday on search tasks. When a task takes hours, deadlines creep closer. This hurts morale and slows projects. By contrast, automated AI agents handle search, data gathering, and report building. As a result, employees spend seconds instead of hours on these chores.

Furthermore, the agents learn over time. They track common questions and adapt results. Next time, the agent knows exactly where to look and what to pull. Thus, enterprise search becomes smarter and more accurate. The more people use it, the better it gets. This positive cycle boosts confidence in AI and the tools teams use daily.

Boosting productivity in key sectors

Finance and healthcare lead in adopting this new AI-powered search. In finance, quick access to market data and compliance reports can mean faster trades and fewer errors. Traders and analysts no longer wait for IT to run complex queries. Instead, they type questions and get instant insights.

In healthcare, timely information is a matter of life and death. Doctors and nurses need fast access to patient records, research studies, and treatment plans. AI agents reduce the time needed to find critical details. As a result, medical staff can give better care and make faster decisions.

Beyond these areas, other industries stand to gain as well. Retail teams can track inventory levels and sales trends. Legal teams can pull case files and contracts in moments. No matter the field, automating enterprise search drives faster, smarter work.

Why AI agents matter in business

This Kore.ai and AWS collaboration highlights a big shift. AI is no longer a distant experiment. Instead, it is becoming part of core business infrastructure. Companies used to build search tools in-house or buy slow, one-size-fits-all systems. Now, they can tap into AI that learns, scales, and adapts.

Also, agentic workflows change how we think about tasks. An agent acts like a helper that never sleeps. It follows a clear set of rules to gather, process, and share information. In practice, this means fewer manual steps and more automated steps. Thus, teams focus on strategy, creativity, and human judgment.

Transitioning to AI-driven processes takes planning. IT and business leaders need to define clear goals. They must choose data sources and set up secure access. However, once in place, these agents can change the game. They streamline work, reduce errors, and free up talent for higher-value projects.

The future of enterprise search

Looking ahead, enterprise search will keep evolving. As AI agents gain more context, they can suggest next steps. For instance, after pulling a sales report, an agent might highlight trends or flag anomalies. It could even recommend marketing actions based on the data.

Moreover, the same technology can power chatbots, virtual assistants, and even voice interfaces. Employees might ask questions by talking into a headset. The agent will understand and respond just as quickly. This hands-free approach increases safety and efficiency in many settings.

In time, businesses will build entire agent ecosystems. Different agents will handle HR tasks, finance queries, or customer support. They will share data and insights in a connected web. This network of agents becomes the backbone of a truly intelligent enterprise.

Getting started with AI agents

To adopt this new system, start small. Pick one or two key use cases that need instant answers. Then, connect your data to the AI platform. Train the agent with common questions and workflows. Next, invite a pilot team to test and give feedback. As the agent improves, roll it out to more groups.

Also, involve security and compliance teams early. They will ensure data remains safe and private. Clear policies on access and usage help build trust across the company. Finally, measure results. Track time saved, error rates, and user satisfaction. Use these metrics to refine the system and prove its value.

Ultimately, enterprise search will no longer be a bottleneck. Instead, it will be a catalyst for faster decisions and better outcomes. AI agents will stand at the center of this change, powering workflows and freeing human talent.

Frequently Asked Questions

What makes enterprise search different with AI agents?

AI agents learn context and adapt over time. They can pull data, run tasks, and generate reports in seconds. This makes search much faster and more accurate.

How do agentic workflows save time?

Agents automate steps like data gathering, analysis, and summary writing. Employees just review and refine the results. This cuts out repetitive manual work.

Which industries benefit most from this technology?

Finance and healthcare lead the way due to their need for quick, accurate data. However, retail, legal, and many other fields also gain efficiency and speed.

How can companies start using AI-powered enterprise search?

Begin with a clear use case and secure data connections. Train the agent on common questions. Pilot with a small team, gather feedback, then expand.