5 key strategies to harness the impact of generative AI and AI agents in 2025

According to knowmad mood, a leading tech consultancy specializing in digital transformation, 2025 will be a pivotal year for the adoption of generative AI-powered intelligent agents across a range of industries. These technologies are revolutionizing how businesses handle critical tasks, driving efficiency, and allowing human teams to focus on higher-level strategic initiatives.

Intelligent agents fueled by generative AI are redefining business operations by automating complex processes traditionally managed by humans. A recent report from Menlo Ventures highlights the rapid growth of these technologies, noting that enterprise spending on generative AI in 2024 increased sixfold compared to 2023. This shift underscores the move from experimental use to full-scale integration as a central component of corporate strategies.

In this context, knowmad mood outlines five key strategies businesses can adopt to unlock the full potential of these technologies, alongside examples of where they’re already making an impact.

Automating critical tasks with AI agents

Generative AI enables businesses to automate repetitive or high-stakes tasks, entrusting them to intelligent agents that operate independently. This reduces the need for human intervention while ensuring precision and consistency.

In industrial sectors, these tools optimize supply chain management, plan proactive maintenance based on predictive alerts, and minimize downtime. Meanwhile, in financial services, AI agents can analyze transaction patterns in real time to detect and flag fraudulent activities, streamlining fraud prevention.

Enhancing data-driven decision-making

Generative AI processes vast amounts of data from diverse sources to provide actionable, tailored insights.

In healthcare, for example, these technologies support personalized treatment plans and faster, more accurate diagnoses, improving patient outcomes. They also aid in early disease detection by spotting patterns that may not be immediately apparent to clinicians.

In marketing, generative AI delivers data-backed recommendations to optimize campaigns based on customer behavior, helping businesses improve conversion rates and boost customer satisfaction.

Cutting operational costs: achieving more with less

Intelligent agents reduce the costs associated with manual processes by automating complex workflows. They’re also highly adaptable, making it easy for businesses to tailor their use to specific needs.

For example, in financial institutions, autonomous AI agents can collaborate: one might handle risk management while another prepares regulatory reports. This collaboration reduces the resources required for these tasks, freeing teams to focus on higher-impact areas.

Building business resilience

Automation and real-time responsiveness give businesses the ability to quickly recover from disruptions such as technical failures, economic crises, or natural disasters. Industries like finance and manufacturing benefit significantly from these capabilities, ensuring the continuity of critical services.

Organizations adopting cloud-based business continuity solutions will be better prepared to face future challenges, positioning themselves for long-term stability.

Freeing up talent for strategic priorities

The integration of intelligent agents not only streamlines operational processes but also relieves employees from routine tasks, enabling them to focus on innovation, strategic planning, and developing new products or services.

“2025 will be a defining year as generative AI evolves from a cutting-edge innovation to a core element of business strategies. Industries like healthcare, manufacturing, and finance are leading the change, leveraging automation to boost operational efficiency, improve decision-making, and enhance organizational resilience. This shift will enable companies to thrive and adapt in an environment of constant change,” says Gustavo Sandoval, Head of AI, IoT & SmartX Line of Business at knowmad mood.