How agentic AI can transform 5 industry verticals

Businesses aren’t hesitant to lean into agentic AI; they’re enthusiastically embracing this powerful new form of AI. An impressive 79% of companies already have started adopting agentic AI, according to PwC industry research. Moreover, 88% of companies say they’re increasing their AI-related budgets over the next year specifically to invest in agentic AI, PwC found. Unlike older forms of AI, agentic AI can think and act autonomously, with minimal human prompting or guidance. In fact, agentic AI is the form of AI that is expected to finally help organizations fully realize AI’s much-hyped, long-touted value proposition. It’s a value proposition that many companies have found to be elusive.

Agentic AI stands apart in that it closely mimics the ingenuity, analytical capabilities, and problem-solving abilities that have traditionally been the domain of humans. As a result, businesses across a range of different industries have started deploying agentic AI to streamline and automate how work gets done, how strategic opportunities are identified and acted upon, and how problems and risks are prevented and resolved. Let’s explore how five industry verticals are being transformed with help from agentic AI:

Read more: 4 Ways Enterprises Can De-Risk Agentic AI Investments

Finance industry

Agentic AI is especially important to the highly regulated financial industry—an industry where customer expectations are high and where employees simply cannot afford to make mistakes. Use cases for agentic AI in the finance industry include:

• Investment risk management: Financial institutions are continuously analyzing potential risks and rewards associated with their investment portfolios, so they can decide where to hedge their bets. Agentic AI not only can automate these processes, but offer non-human recommendations and guidance on how to proceed and where to put their money. Significantly, these insights are generated purely from data, which means they are not influenced by human whims and human bias.
• Fraud detection: Agentic AI can continuously monitor systems to look for anomalies that are indicative of potential fraud. Unlike older forms of AI, agentic AI can manage this monitoring end to end, including escalating and resolving problems on its own. This continuous, automated monitoring dramatically increases the chances of detecting and stopping fraud.
• Regulatory compliance: Regulatory compliance can be agonizing and stressful for financial institutions. Agentic AI can help organizations stay on top of this endless barrage of requirements, deadlines, and changes to rules.

Read more: 4 Changes Organizations Must Make To Enable Agentic AI

Healthcare industry

Agentic AI can greatly expand access to high-quality healthcare, as well as make this care more accessible to more people. Use cases for agentic AI in the healthcare industry include:

• Autonomous healthcare assistants: Agentic AI offers advanced chatbots that can converse with patients, provide information on diagnoses and prognoses, and flag potential patient health anomalies for follow-up. 
• AI-powered diagnoses: Agentic AI has the ability to access and review virtually unlimited medical data sets. Thus, agentic AI can tap into this wealth of knowledge and information to diagnose diseases and conditions in patients, especially those who present with complex and confounding symptoms. Significantly, these diagnoses can be performed at far greater speeds and larger scales than human doctors can—all without compromising accuracy.
• Prioritizing and triaging patients: With healthcare facilities often forced to make split-second decisions about who’s a higher priority for see a doctor or receive care, agentic AI can help make these decisions on behalf of care teams. Unlike humans, agentic AI can rapidly consider a wealth of factors, enabling decisions to be made more consistently and fairly. 

Manufacturing industry

Agentic AI can help manufacturing companies improve quality control, forecasting, and anomaly detection. Use cases for agentic AI in the manufacturing industry include:

• Equipment maintenance: With manufacturers needing to adhere to strict schedules for equipment maintenance, agentic AI can take care of managing maintenance schedules, as well as recommending tweaks to optimize maintenance regimes and worker safety.
• Quality control: Manual human inspections often serve as quality control for manufacturing processes, but these inspections are costly and prone to human error. Agentic AI can analyze images as products are coming off a manufacturing assembly line, as well as flag and pull faulty products from going to market.
• Forecasting: Manufacturers need to make important forecasting decisions on a continuous basis—from ordering the right amount of supplies and equipment, to meeting future anticipated customer sales demands. Agentic AI can analyze a wealth of data—from sales patterns to industry trends—to offer intelligent forecasting recommendations.

Read more: 5 Reasons Organizations Are Replacing GenAI With Agentic AI

Education field

Agentic AI can expand student access to high-quality learning experiences, ease administrative burdens on educators, and ensure every student receives personalized feedback. Use cases for agentic AI in the education field include:

• Personalized learning: While online learning is nothing new, agentic AI can personalize and customize this learning experience for every student individually. AI-powered learning platforms can adapt the curriculum and assignments in real time, provide detailed feedback on an individual student’s work, and generate personalized recommendations for student improvement.
• Administrative assistance for educators: With educators’ time often consumed by administrative tasks like grading, roll call, and documentation of student assessments, agentic AI can serve as a virtual administrative assistant that takes care of these routine tasks automatically. The end result is educators’ time is freed up to focus on teaching and mentoring students.

Legal industry

Agentic AI in law firms can take care of many of the time-consuming, laborious tasks that have traditionally been assigned to assistants, paralegals, and attorneys themselves. While agentic AI still needs to be supervised by human teams (just as older forms of AI always have), agentic AI is already finding its way into multiple use cases in the legal industry, including:

• Legal research: Agentic AI can take care of legal research and preparing legal briefs. Unlike human teams that require extensive time to conduct this important work, agentic AI can study, summarize, and synthesize voluminous legal materials rapidly and cost-effectively.
• Intelligent case management: Whether law firms are deciding how to prioritize cases, whether to take on new cases, or what legal strategies to use for a particular case, agentic AI can eliminate the need for humans to make uneven and suboptimal decisions, in favor of AI-powered case management that uses hard data and information.
• Case summaries: Whether a case is active or still pending, agentic AI can produce digestible case summaries that help keep attorneys up to date on case status. Significantly, these summaries can be produced cheaply and continuously, reducing the need for law firms to be especially judicious and selective about which cases they track. 

Final thoughts

Agentic AI is proving out its value in diverse ways across a range of industry verticals.

From finance to healthcare to manufacturing to education to legal, agentic AI is streamlining and automating processes, unlocking beneficial new features, bringing more resources and information to more people, and saving time and money.

To learn more about how to adapt agentic AI to optimally serve your organization’s needs and goals, please reach out to the agentic AI experts at Fullcast.

We’ve helped companies that span a range of industry verticals to decide how, when, and where to infuse AI into their operations. We look forward to helping your organization develop a customized agentic AI vision and implementation strategy.