How AI agents are driving smarter business decisions

AI agents for business are transforming industries by improving decision-making and operational outcomes. Designed for scalability, they unlock powerful insights and elevate your organization's competitive edge.

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Summary

AI agents are transforming decision-making by offering businesses tools to act smarter, faster, and more strategically. These autonomous systems analyze data, optimize operations, take necessary actions and enable better choices.

Through improved predictability, risk assessment, resource prioritization, and scenario planning, AI agents empower organizations to adapt, stay competitive and achieve measurable outcomes.

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How AI Agents are driving smarter business decisions

AI agents give businesses a significant edge by optimizing processes and providing insights that lead to better decisions. Companies are increasingly cognizant of the potential of AI agents, with 82% of companies planning to integrate them within their business within the next one to three years. Here’s a deeper look at the specific ways they support business operations:

Improved predictability

AI agents analyze historical trends and current data to make predictions. For example, a retail company can use AI agents to identify purchasing behaviors across seasons. The software could then predict an increase in demand for winter coats based on previous years, weather forecasts and online shopping trends. This helps businesses stock inventory accordingly, minimizing overstocks or shortages.

> Read more | Explore the power of AI agents

Better risk assessment

These systems process intricate datasets to flag potential vulnerabilities, such as supply chain disruptions or cybersecurity threats. For instance, an AI agent in the transportation industry could predict delays by analyzing traffic patterns, weather reports and maintenance logs. Identifying routes that frequently experience delays enables companies to reroute shipments and ensure on-time deliveries.

More efficient resource prioritization

AI agents could be used to assess possible projects or tasks, predicting which will deliver the best outcomes. A construction company might use AI agents to prioritize resource allocation, determining that deploying a larger than usual workforce to high-value projects, such as client-requested customizations, will yield higher customer satisfaction and profitability.

More in-depth scenario planning

AI agents could help businesses prepare by simulating potential events and outcomes. For example, a financial institution might run "what if" scenarios using AI to test the impact of interest rate changes on lending strategies. With multiple scenarios analyzed, decision-makers can craft flexible policies that guide their approach regardless of economic shifts.

More accurate cost-benefit analysis

AI agents rigorously evaluate financial implications, helping businesses weigh potential actions. An AI-powered system for a manufacturing company may determine whether investing in automation will deliver savings in labor costs over a five-year span. By balancing upfront investment with long-term efficiencies, these analyses steer budget-friendly decisions.

> Read more | How to reduce operating costs

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Forrester study: Unlocking the full potential of AI agents

Enterprise-wide AI agent adoption is accelerating

In this Hyland-commissioned study by Forrester Consulting, Forrester found that more than 45% of organizations already use AI agents and another 25% are piloting them. Although adoption is accelerating, most organizations struggle to scale beyond early use cases due to a lack of enterprise context.

Forrester provides key recommendations for how to get AI agents right, as well as detailed data on enterprise trends around agent use. Download this report to learn more about how organizations are looking to AI agents to optimize workflows, make smarter decisions and create more personalized experiences.

How AI agents support strategic goals

AI agents not only address operational needs but also empower businesses to execute more strategically. These tools offer adaptability and insight that help organizations thrive in a competitive landscape.

Supporting organizational objectives

AI agents streamline workflows to free up teams for mission-critical goals. For example, a healthcare organization could use AI to automate administrative tasks like patient scheduling and eligibility verification.

Clinicians then focus more on patient care, enhancing outcomes and aligning with the larger objective of excellent patient experience.

Driving financial performance

Through efficiency and insight, AI agents reduce waste and increase returns. An ecommerce business deploying AI can personalize recommendations based on browsing history. This might lead to higher conversion rates because customers are shown products they’re most likely to buy, directly boosting sales revenue.

Improved competitive edge

Businesses that leverage AI can respond faster to trends, keeping them ahead of competitors. For example, a travel agency using AI might detect rising interest in ecotourism by analyzing social media conversations and booking habits. By creating tailored packages before others, the agency solidifies its position as an industry leader in sustainability-focused travel.

Adaptability to change

AI agents enable businesses to react dynamically to shifting environments. For instance, amid global supply chain disruptions, an AI system could recommend alternative suppliers, ensuring continuous operation. It could calculate the costs and delivery times of multiple suppliers, providing options best suited to the business’ needs.

Creating measurable value

AI agents focus on impactful initiatives that drive business growth. A logistics company utilizing AI could optimize its fleet operations, resulting in lowered fuel costs and reduced emissions. Over time, these savings contribute to both profitability and environmental sustainability, increasing overall value.

Build AI agents with a point-and-click interface

Hyland Agent Builder empowers you to efficiently design, deploy and manage AI agents, so you can automate complex workflows with ease while maintaining control through human oversight.

Build your agentic workforce from the ground up or choose from a catalog of prebuilt agents, then manage the entire lifecycle to align with your evolving business needs

Implementing AI agents responsibly

For AI agents to deliver their full potential, businesses must ensure the technology is deployed responsibly. This involves maintaining transparent processes, rigorous oversight and high-quality data inputs. Ethical considerations, such as addressing biases in AI algorithms, also play a crucial role in effective implementation. With these measures in place, organizations can unlock impactful insights while preserving trust and integrity.

Redefining decision-making in today’s world

AI agents have revolutionized decision-making, offering unprecedented levels of precision and efficiency to businesses across industries. By enhancing predictability, mitigating risks, and fostering adaptability, these tools empower organizations to take confident, data-driven steps toward sustained success in a rapidly changing world.

> Read More | How AI decision-making transforms enterprise operations

Unlocking the potential of AI agents

To maximize the value of AI agents, organizations must ensure ethical and strategic implementation. This includes maintaining high-quality data for analysis, providing oversight for AI-driven decisions, and fostering transparency to build trust. While challenges exist, businesses that successfully integrate AI agents can unlock innovations that create incredible outcomes for customers and stakeholders alike.

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Harvard Business Review Analytic Services pulse survey insights: Going beyond traditional AI and toward agentic AI

Many organizations find themselves unprepared to harness the full potential of AI. This pulse survey from Harvard Business Review Analytic Services reveals that while 94% of leaders recognize the importance of well-connected data for AI success, only 27% have achieved it.

In “Bridging the Readiness Gap to the Agentic Enterprise,” learn about strategies for fully connecting your content and how leading enterprises are thinking about transforming unstructured content into connected pipelines.

Use cases for AI agents in business

AI agents provide valuable solutions to challenges across various industries, helping optimize operations and enhance outcomes.

Healthcare

Hospitals use AI to manage staff schedules, evaluate correspondence, checking information against policy to aid decision making, and bed allocation during busy times.

> Read this HIMSS report | Navigating the complexities of AI and machine learning in healthcare

Retail

AI personalizes shopping experiences by analyzing consumer habits. Ai agents could enable e-commerce platforms to recommend products, or help stores optimize inventory to meet demand during sales.

> Read more | The power of AI in customer service

Manufacturing

By monitoring equipment with AI, manufacturers can predict breakdowns, minimizing downtime and saving costs.

Finance

Financial institutions leverage AI to detect fraud in real time and automate processes like loan approvals for faster, accurate decisions.

> Read more | Revolutionizing financial services: The impact of artificial intelligence

Education

AI customizes learning with courses tailored to student needs, while automating administrative tasks to free up educators’ time.

> Read more | The role of AI in transforming higher education

Transportation and logistics

AI optimizes delivery routes based on traffic and weather, helping courier services save on time and costs while improving reliability.

Energy

AI forecasts energy demand for better resource management. Renewable energy providers use AI to balance solar or wind output with consumption.

Hospitality

Hotels enhance guest experiences by using AI to tailor services and automate dynamic pricing strategies that boost revenue.

> Read more | Understanding the different types of AI agents

What is AI-readiness?

How Hyland Content Intelligence empowers AI-driven decisions

Hyland’s Content Intelligence solutions help organizations leverage their enterprise content to effectively scale AI. By transforming content and unstructured data into structured and enriched AI-ready assets, Content Intelligence enables next-level data curation, knowledge discovery, automation and solution-building to accelerate decisions and processes, boost productivity and efficiency, and unlock the full potential of their content.

  • Hyland Knowledge Enrichment: Organize unstructured data into AI-ready structured formats, enhancing workflows and supporting advanced AI applications.

  • Hyland Knowledge Discovery: Quickly access insights from diverse content using natural language and tailored AI agents for faster decision-making. Hyland leverages AI agents and retrieval-augmented generation to streamline complex searches.

  • Hyland Agent Builder: Enables the creation, configuration, and management of AI agents for multiagent collaboration, scaling AI across the organization.

  • Hyland IDP: delivers AI-powered agentic document processing.

  • Hyland Automate: Enables organizations to transform their operations with the power of AI.

Diagram of Hyland Content Innovation Cloud platform

Hyland Content Innovation Cloud™

The platform to power content innovation

Content Innovation Cloud is the future of enterprise content management. By leveraging a unified content, process and application intelligence platform, your organization can unlock profound insights from enterprise content and unstructured data — fueling innovation without disruption.

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