Man in yellow hardhat holding laptop while inspecting manufacturing equipment
Process Improvement

How AI is Changing the Role of the Operations Manager

Written By: Shreya Patro
October 15, 2025
8 min read

Designed for operations managers, this guide provides practical insights and tools to navigate the AI era and lead their teams with clarity, agility, and confidence.

The role of the operations manager has always been critical to the success of organizations. Traditionally, these leaders have been responsible for ensuring efficiency, coordinating teams, managing resources, and maintaining compliance. Yet, while the fundamentals remain the same, the environment in which operations managers work has become significantly more complex in the agentic age

As supply chains stretch across continents, data volumes grow exponentially, and customer expectations rise, operations leaders are under increasing pressure to deliver results in faster, smarter, and more cost-effective ways. It is in this context that AI agents are not only reshaping business operations but also redefining what it means to be an operations manager.

The Evolving Landscape of Operations Management

Operations management once focused primarily on tactical execution: making sure tasks were completed, processes ran smoothly, and resources were allocated effectively. While those responsibilities are still vital, they are no longer enough on their own. The sheer complexity of today’s business environment means operations managers must also act as strategists, innovators, and leaders who bring together data, people, and technology. This shift requires new tools and approaches, and AI has emerged as the most transformative among them.

The Rise of Intelligent Operations

Intelligent Operations refers to the integration of AI, automation, and real-time analytics into the daily workflows of organizations. Rather than functioning as a bolt-on tool, AI becomes the intelligence layer that guides decision-making, predicts risks, and automates repetitive tasks. Platforms like Quickbase exemplify this evolution by embedding predictive analytics into operational workflows, and they empower organizations to eliminate inefficiencies, adapt processes quickly, and gain insights that previously required weeks of manual analysis.

At the heart of Intelligent Operations lies the elimination of what Quickbase calls “Gray Work”: the manual, repetitive, and non-value-adding tasks that drain time and resources. Spreadsheets that need constant updating, manual data entry across disconnected systems, and endless email chains all contribute to operational drag. 

AI changes this dynamic by automating workflows, connecting critical data sources, and surfacing actionable insights. For operations managers, this means less time chasing information and more time focusing on strategic leadership.

Understanding Gray Work and Quickbase’s Solution

Gray Work may appear harmless in small doses, but across an organization, it adds up to a significant productivity drain. Employees lose hours each week hunting down data, duplicating efforts, or reformatting reports. Morale suffers as teams spend their time on low-value work instead of driving outcomes that matter. Operations managers, who should be focused on optimizing performance and driving growth, often find themselves caught in the weeds of administrative burdens.

Quickbase’s AI-powered operations platform addresses this challenge directly. By connecting scattered data, automating unique workflows, and providing real-time insights it helps organizations eliminate the inefficiencies that weigh down productivity. While IT maintains governance and security, operations managers and their teams can adapt workflows as needs evolve. This speed to value enables organizations to respond quickly to change, while also maintaining enterprise-level control.

How AI is Transforming Key Operational Areas

AI is not transforming operations in abstract ways; it is delivering tangible improvements across critical business functions.

AI algorithms reduce forecasting errors significantly, ensuring that resources are allocated efficiently and stockouts or overages are minimized. While competitors may rely on rigid tools, Quickbase provides the flexibility to connect real-time data sources and tailor workflows to an organization’s specific needs.

Supply chain and logistics have also been transformed by AI’s ability to process data in real time. Route optimization, disruption prediction, and proactive communication with stakeholders save organizations millions in costs and lost productivity. Quickbase supports this transformation by providing end-to-end visibility, ensuring data from the field, warehouse, and office flows seamlessly into one integrated platform.

In predictive maintenance and quality control, AI can forecast equipment failures before they occur and identify potential defects with remarkable accuracy. Quickbase integrates sensor data and automates the necessary workflows, ensuring that maintenance requests, corrective actions, and compliance checks are executed without delay.

Workflow automation is another area where AI shines. Robotic Process Automation (RPA) and Artificial Intelligence for IT Operations (AIOps) are widely adopted to reduce manual effort and improve accuracy. Quickbase extends these benefits by enabling operations managers to automate workflows unique to their processes, eliminating repetitive tasks that previously consumed significant time.

Finally, AI has transformed data-driven decision-making. Operations managers are no longer limited to historical reports but can access real-time insights that inform strategy and risk management. Quickbase delivers a 360-degree view of operations, turning raw data into actionable intelligence and enabling leaders to act with confidence.

The Evolving Role of the Operations Manager in the AI Era

As AI takes on repetitive and time-consuming tasks, the role of the operations manager is undergoing a profound shift. No longer focused solely on tactical execution, managers are now positioned as strategic leaders. Freed from the drag of Gray Work, they can dedicate more attention to planning, innovation, and fostering collaboration across teams.

This shift also requires operations managers to act as AI enablers and integrators. They must understand how AI tools function, identify where automation will drive the greatest value, and ensure that technology adoption aligns with business goals. Quickbase makes this transition smoother by empowering managers to build and adapt solutions through its citizen developer model. While IT retains oversight, managers gain the ability to shape workflows in real time, ensuring agility and responsiveness.

Upskilling is another important element of this evolution. As technology advances, operations managers must continuously learn and adapt to remain effective. Those who embrace AI and foster a culture of innovation will future-proof their roles, while those who resist risk falling behind. Quickbase supports this journey by providing tools that are intuitive to use, while also robust enough to handle complex operational demands.

Quickbase’s Differentiators in the Intelligent Operations Landscape

What sets Quickbase apart in this space is its operational AI focus. While many AI solutions offer generic features, Quickbase is purpose-built to address the complexities of operations. It adapts to unique processes rather than forcing organizations into rigid templates.

Citizen developer empowerment is another key differentiator. Quickbase enables non-technical users to create powerful applications, and it democratizes innovation across the workforce. This means operations managers and their teams can solve problems quickly without waiting for lengthy IT projects.

Finally, Quickbase balances enterprise governance with speed to value. IT maintains visibility and control, ensuring compliance and security, while business users enjoy the freedom to innovate. This dual focus ensures that organizations not only achieve efficiency but also scale intelligently and securely.

Embracing an AI-Powered Future for Operations

By eliminating Gray Work, automating workflows, and surfacing real-time insights, AI allows managers to focus on strategy, leadership, and innovation. Quickbase is uniquely positioned to support this transformation, providing an intelligent operations platform that adapts to unique processes, empowers citizen developers, and ensures governance at scale.

For organizations ready to embrace the future, the message is clear: operations managers are not being sidelined by AI; they are being uplifted by it. With Quickbase, they gain the tools to lead with clarity, agility, and confidence.

Request a demo of Quickbase AI and see how Intelligent Operations can transform your organization today.

FAQ Section:

Q: What is Intelligent Operations?

A: Intelligent Operations refers to the use of artificial intelligence (AI) and machine learning technologies to automate, optimize, and streamline business processes, enabling real-time decision-making and enhanced operational efficiency.

Q: How does AI change the role of an Operations Manager?

A: AI transforms the Operations Manager's role from tactical and reactive to strategic and proactive. It automates repetitive tasks, allowing managers to focus on higher-value activities like strategic planning, innovation, data analysis, and human-centric leadership.

Q: What is 'Gray work' and how can AI help eliminate it?

A: 'Gray work' refers to manual, repetitive, and non-value-adding tasks that consume significant time and resources. AI, particularly through platforms like Quickbase, eliminates Gray Work by automating workflows, connecting critical data, and providing insights that free up human capital for more strategic initiatives.

Q: How can Quickbase support Intelligent Operations?

A: Quickbase is an AI-powered operations platform designed to adapt to unique processes. It helps organizations eliminate Gray Work by connecting critical data and automating unique workflows, empowering citizen developers, ensuring enterprise governance, and delivering speed to value in operational AI.

Q: What are the key benefits of adopting AI in operations management?

A: Key benefits include improved operational efficiency, reduced costs, enhanced decision-making through real-time insights, optimized supply chain and inventory management, predictive maintenance, better quality control, and the ability to adapt quickly to market changes.

Q: Is AI replacing Operations Managers?

A: AI is not replacing Operations Managers. Instead, it serves as a powerful tool that augments their capabilities, automates routine tasks, and provides deeper insights, allowing managers to elevate their role to focus on strategic oversight, innovation, and complex problem-solving.

Headshot Shreya Patro
Written By: Shreya Patro

Shreya Patro is a writer for the Quickbase blog.