Top AI Use Cases Shaping 2025

In December 2024, Unframe conducted a comprehensive survey to explore the state of enterprise AI. We gathered responses from 235 decision-makers and influencers driving AI initiatives in organizations with over 5,000 employees. This diverse group included C-level executives, senior leaders, and management professionals spanning industries such as telecommunications, financial services, healthcare, real estate, and more.

‍

The results offer a cross-industry perspective on how AI is transforming businesses by addressing critical challenges and unlocking new opportunities. From IT operations to customer experience, the findings highlight the pivotal role AI plays in modern enterprises.

‍

When asked, “Which AI use cases have been the most impactful for your business?”, the answers show just how varied use cases are across all industries, departments, and teams. In order, we explore the top use cases and their transformative potential.

‍

1. IT Operations

‍

IT operations emerged as the leading AI use case, identified as the most impactful use case by 50% of respondents. 

‍

AI enhances IT Service Management by automating workflows to address service requests across security, network, and software issues. By prioritizing tasks and assigning them to the right teams, AI ensures smoother operations and faster resolution times. Predictive insights empower IT teams to identify potential disruptions before they occur, reducing downtime and boosting productivity. This allows IT departments to shift focus from reactive problem-solving to strategic innovation.

‍

2. Customer Experience

‍

AI transforms customer experience by streamlining processes, enhancing personalization, and improving service quality at scale. Businesses can simplify sales processes with quick access to unified customer data, enabling faster decision-making. Automating manual tasks like lead prioritization and follow-ups, frees teams to focus on building relationships and closing deals. Intuitive natural language interfaces empower businesses to deliver faster, more personalized interactions, driving higher customer satisfaction and competitive differentiation.

‍

3. Security Operations

‍

Security operations have become faster and more effective thanks to AI-driven solutions. AI replicates key SOC (Security Operations Center) tasks, such as identifying the root cause of threats, which traditionally take hours or days of manual log analysis. Automating this process accelerates root cause analysis and provides actionable insights in minutes. This enhances accuracy, optimizes resources, and strengthens an organization’s security posture, allowing teams to mitigate risks and protect sensitive data more efficiently.

‍

4. Data Intelligence

‍

AI redefines data intelligence by unifying information from disparate systems and turning it into actionable insights. Data observability platforms powered by AI allow users to access and analyze multiple data sources seamlessly using natural language queries. AI uncovers relationships between datasets like linking Jira tickets to related Confluence pages, empowering teams to solve problems faster, collaborate better, and unlock the full potential of organizational data.

‍

5. Actionable Insights

‍

AI enables enterprises to transform vast amounts of data into actionable insights with unparalleled speed and precision. By identifying trends and predicting outcomes in real time, AI uncovers hidden opportunities and mitigates potential risks. Teams can go beyond static reports, using dynamic insights to refine strategies and make data-driven decisions confidently, helping businesses stay ahead in competitive markets.

‍

6. File Workflows

‍

AI streamlines file workflows by automating the organization, correlation, and retrieval of documents across systems. Teams can easily link related files, like Jira tickets to Confluence pages, saving time and effort. Natural language interfaces simplify searching and editing, while automation eliminates repetitive tasks, enabling seamless collaboration and accelerated project delivery.

‍

7. Sales Optimization

‍

AI revolutionizes sales optimization by enabling smarter lead scoring, more accurate forecasting, and tailored customer targeting. Sales teams can access CRM data instantly, ask questions via natural language, and receive personalized insights. These capabilities allow teams to focus on high-value activities like building customer relationships and closing deals, driving significant revenue growth.

‍

8. Contract Abstraction

‍

For industries reliant on contracts (or any unstructured data), AI simplifies document analysis by extracting critical data from PDFs like leases or agreements. Users can view extracted fields, verify accuracy, and streamline workflows, saving time and reducing compliance bottlenecks. This automation empowers teams to manage contracts efficiently while improving decision-making.

‍

9. Enterprise Search

‍

AI transforms enterprise search by enabling fast and accurate access to both structured and unstructured data. Natural language queries retrieve precise, contextually relevant answers, empowering employees to find information quickly and enhance productivity. By connecting disparate data sources, AI makes organizational knowledge easily accessible.

‍

10. Autonomous Agents

‍

Autonomous agents powered by AI automate decision-making processes, allowing businesses to scale operations efficiently. These agents analyze data, identify patterns, and execute tasks with minimal human intervention. By reducing overhead and accelerating workflows, autonomous agents help organizations adapt to dynamic demands while maintaining accuracy and consistency.

‍

11. Software Modernization

‍

AI accelerates software modernization by upgrading legacy systems and integrating modern tools seamlessly. By identifying inefficiencies and unifying data sources, AI helps organizations transform outdated systems into scalable, agile solutions. This ensures compatibility with evolving business needs while enhancing performance and security.

‍

12. Resource Availability

‍

AI optimizes resource availability by forecasting demand, identifying bottlenecks, and allocating assets effectively. Predictive analytics ensure that teams and resources are deployed where they are needed most, minimizing inefficiencies and enhancing productivity. This proactive approach enables organizations to adapt to changing needs with confidence.

‍

Varied Use Cases, One Solution

‍

The survey highlights the diversity of AI applications across enterprises. Yet, managing this diversity with siloed tools or point solutions can be daunting. A unified platform that addresses all AI use cases is essential to realizing AI’s potential.

‍

The Turnkey Enterprise AI Platform

‍

Unframe’s Turnkey Enterprise AI Platform emerges as the ideal solution for these challenges. By unifying diverse AI initiatives into a single, scalable platform and offering outcome-based pricing, Unframe enables enterprises to achieve measurable results quickly and confidently.

‍

By addressing complexity, compliance, and scalability concerns, Unframe empowers enterprises to transform AI adoption challenges into opportunities.

‍

To discover how AI can elevate your organization across these varied use cases, download the full report today.

‍

‍