The rise of AI has been a turning point for businesses across industries. With AI at the helm, businesses are actively transforming key operations, improving process efficiencies, enhancing customer experiences, and driving innovation. While AI tools have proven instrumental in this regard, the advent of Agentic AI has pushed the frontiers of AI even further, and with it, broadened the scope of possibilities for Business Process Management (BPM).
Agentic AI is more than just the next step in the progression of AI and GenAI technology; it's an evolution of AI that transcends the functions of traditional AI tools. But what exactly is Agentic AI and what role does it have to play in the BPM space?
In this blog, we break down the concept of Agentic AI, explore its impact on businesses across industries, highlight market trends, and discuss why Agentic AI is the next frontier in BPM.
agentic AI explained
Agentic AI is a new class of AI that acts autonomously and adapts to dynamic workflows without requiring constant human oversight. An Agentic AI solution includes a group of agents having different skills that work in harmony towards a definite goal. Think of a self-led orchestra where every musician and conductor is an AI agent, working together to deliver a single symphony.
Within the predefined goal, Agentic AI solutions can plan, reason, and make decisions, deploy agents across applications, learn on the go, and adapt to new information and situations in real-time – all on its own. Unlike traditional AI tools that remain dormant unless actively engaged with, Agentic AI possesses the ‘agency’ to independently execute tasks and tweak its methods to arrive at the desired outcomes.
We have published a detailed report on Agentic AI systems, including the blueprint and autonomy levels. For more details, visit: Infosys Research on Agentic AI Systems.
market size and AI adoption trends
The adoption of Agentic AI systems is reshaping Business Process Management (BPM), influencing restructuring efforts across industries. As per Statista, Agentic AI's market value reached $5.1 billion in 2024 and is projected to grow at a CAGR of 44%, surpassing $47 billion by 2030.
Enterprise functions such as Finance & Accounting (F&A), Procurement, and Customer Service are leading the charge in Agentic AI adoption. Its ability to execute complex tasks, adapt to dynamic workflows, deliver data-driven insights, and automate decision-making positions Agentic AI as a critical enabler for efficiency and transformation across these functions.
agentic AI and its impact on BPM processes
In BPM, Agentic AI significantly alters how businesses manage workflows, offering unprecedented efficiencies. Here’s a look at how Agentic AI is driving BPM transformation:
- autonomous workflow automation: Agentic AI’s ability to carry out complex, multi-step tasks autonomously allow businesses to seamlessly automate workflows with minimal oversight, freeing up valuable human resources for more strategic initiatives.
- context-aware decision making: Unlike traditional AI automation, Agentic AI doesn’t just process data; it interprets context, monitors workflows in real time, and anticipates outcomes. By analyzing structured and unstructured data streams, it provides intelligent recommendations and proactive alerts, enabling businesses to make precise, timely decisions that improve operational resilience
- informed decision making by churning multi-modal data: Agentic AI not only analyses vast sets of data but also interprets the context, monitors processes, and provides intelligent recommendations, thus facilitating better-informed and precise decision-making.
Agentic AI’s ability to self-reflect and constantly improvise its actions makes it a strategic enabler for businesses navigating the complex market landscape. By offloading work to Agentic AI systems, businesses can reduce bottlenecks, delays, and manual errors. This improves accuracy in data handling which, in turn, informs the decision-making process. Agentic AI-driven process automation accelerates the delivery of high-quality outcomes, minimising the time gap between problem identification and solution implementation.
typical use cases of agentic AI in BPM
- finance and accounting
- order management
- human resources
Infosys BPM deploys AI agents for invoice processing within its flagship Infosys Accounts Payable on Cloud solution. Powered by Infosys Topaz, the innovation redefines invoice processing by moving from a human-driven, AI-supported model to an autonomous AI-first approach, which ensures greater efficiency and accuracy. Designed to operate autonomously, the solution leverages AI agents equipped with advanced decision-making capabilities to handle complex business scenarios with precision and speed. Autonomous AI-first approach enables end-to-end workflow management, allowing AI agents to handle dynamic processes, adapt to changing business logic, and perform intricate tasks with minimal human oversight. The new Agentic AI-powered Accounts Payable on Cloud solution aims to boost operational efficiency significantly, enabling businesses to scale quickly and effectively.
Agentic AI systems can automate routine order management tasks such as document processing, streamline order tracking, predict stockouts, and monitor supply chains in real time. By integrating existing order management systems and automating their functions, Agentic AI enables businesses to process orders faster, reduce disruptions, improve fulfilment timelines, and manage bulk orders efficiently.
Example: ketteQ launches PolymatiQ, an Agentic AI-based solution for supply chain planning, with a vision to transform how businesses forecast, plan, and adapt. The solution is designed to continuously learn, self-tune, and optimise supply chain decisions in real time, enabling businesses to achieve improved inventory flow and higher fulfilment rates, ultimately driving growth.
Agentic AI platforms can play a crucial role in revolutionising Human Resources and enhancing employee satisfaction. A multi-agent system can help create job descriptions, schedule interviews, screen candidates, and speed up the recruitment process. When it comes to enhancing the employer and employee experience, Agentic AI can automate the onboarding process, create and manage training programs, and automate performance management and succession planning.
Example: LinkedIn launches Hiring Assistants that can automate up to 80% of the recruitment workflow. Integrated into the platform, AI agents handle day-to-day tasks such as synthesising job descriptions, searching for candidates, and screening calls, significantly increasing recruiter productivity and improving candidate quality.
challenges and ethical considerations
The application of Agentic AI in BPM comes with its own set of regulatory, security, data and workforce challenges. Businesses will need to prioritise transparency in their use of Agentic AI, tackle algorithmic biases, and implement strong data privacy measures to encourage trust amongst stakeholders. Businesses also face ethical considerations surrounding the decision-making autonomy of Agentic AI systems.
Codifying and embedding guardrails within AI agents, enabling regular audits, ensuring explainability of AI-driven decisions, and adapting to evolving regulations are essential for compliance and fairness.
At Infosys, we address these challenges through RAI guardrails—a structured, open-source framework for ethical AI deployment. This empowers businesses to adopt responsible AI practices and benefit from a standardized, transparent approach.
charting the future with agentic AI
Agentic AI is reshaping how businesses manage processes—making them faster, smarter, and more responsive. Its ability to work independently, learn continuously, and improve outcomes is already driving meaningful change across industries and business verticals.
Successfully integrating Agentic AI into BPM workflows will enable businesses to uncover new opportunities, restructure business models, eliminate operational inefficiencies, optimise decision-making, foster AI-human collaboration, and thrive in a dynamic environment. To that end, it’s imperative for business leaders and BPM professionals to stay informed about the latest developments in the Agentic AI space and continue investing in its potential.
As adoption grows, organisations will need to focus on clear governance, fairness, and transparency to build trust and ensure long-term success.
The potential is clear: Agentic AI is not just improving how work gets done, rather it’s setting the stage for what’s next in business process management.
At Infosys BPM, we offer Agentic AI solutions that can help transform your business processes and keep you ahead of the curve. Reach out to our team today and start navigating your next with Agentic AI.
