How enterprises create value is changing rapidly. Agentic AI is emerging as a crucial driver of measurable ROI and efficiency improvements. While 75% of executives consider AI a top strategic priority, only a small percentage are realising tangible returns. This reveals a need for scalable, results-focused solutions.
AI agents and agentic AI can fill this gap by autonomously managing tasks, continuously learning, and greatly enhancing productivity. By 2027, it is anticipated that half of all companies using generative AI will deploy AI agents for business operations. As this AI-powered workforce develops, organisations that make prudent investments in enterprise AI solutions stand to unlock substantial operational and financial benefits.
Practical applications and efficiency gains of agentic AI
By the end of 2025, it is expected that at least 30% of routine business software interactions will be AI-mediated, especially in areas such as data analysis, customer service, and administrative tasks. Key areas include:
Automating cross-platform business processes
One prominent application of agentic AI is cross-platform business process automation. AI agents can autonomously manage employee onboarding workflows by coordinating HR processes, IT provisioning, and training modules without manual intervention.
Another key use case is intelligent resource optimisation. Agents can continuously manage and oversee Enterprise Resource Planning (ERP), procurement, and inventory systems to make decisions about stock levels, supplier orders, and logistics in real time, thereby maintaining operational efficiency across diverse platforms.
Enhancing customer experience and engagement
Agentic AI is reshaping how organisations manage customer relationships. By integrating tools such as CRMs, support ticketing platforms, email marketing software, and social media management, AI agents deliver a integrated, context-aware customer service experience. They can automatically escalate issues, personalise communication, and manage interactions across multiple channels. This improves response times and reduces the burden on customer service teams.
Empowering users with AI-capable devices
The rise of AI-enabled PCs equipped with Neural Processing Units (NPUs) is another game-changer. These devices support secure, on-device AI tasks, allowing for more responsive and personalised experiences. AI agents running locally can assist with drafting emails, managing calendars, performing deep searches, and even accelerating content creation for presentations and reports, offering a new level of productivity without compromising data privacy.
Strengthening enterprise security
In cybersecurity, agentic AI plays a vital role in protecting organisations. Agents are being deployed for real-time API monitoring, behavioural threat detection, insider risk management, and compliance enforcement with regulations like the General Data Protection Regulation (GDPR). These capabilities not only enhance security posture but also reduce the need for constant human oversight.
Broader impact beyond business
Beyond business applications, agentic AI is poised to deliver societal benefits, such as improving disaster response by proactively reaching out to individuals in crisis zones, including those with chronic health conditions.
AI agents for business: Focus on efficiency and ROI gains
By 2029, agentic AI could address 80% of common customer service issues without human intervention, driving 30% lower operational costs.
ROI and efficiency drivers across industries include:
- Revenue growth: AI-powered insights identify untapped markets, dynamically optimise pricing, and personalise marketing campaigns, driving revenue increases.
- Productivity surges: Employees equipped with AI tools complete tasks faster, leveraging real-time data and automated workflows to focus on high-value work.
- Customer-centric scalability: Automated, 24/7 customer interactions reduce handling times while boosting satisfaction, translating to higher retention and lifetime value.
- Agile decision-making: Predictive analytics and data-driven insights slash planning cycles, enabling rapid, risk-adjusted strategies that outpace competitors.
- Faster time to market: By automating complex development workflows and decision-making processes, agentic AI enables businesses to launch products and services more rapidly.
- Improved compliance: Agentic AI enhances compliance by monitoring regulations in real time and automating adherence across business processes.
Strategic implementation of AI agents in enterprise operations
As agentic AI systems become more autonomous, the need for robust governance frameworks grows. Integrating AI agents into enterprise operations calls for a thoughtful and strategic approach. The process begins with a thorough assessment of existing workflows to pinpoint where AI agents can provide the most value. Once these areas are identified, businesses should focus on customisation to develop enterprise AI solutions that meet unique operational needs and goals. Seamless integration is the next critical step, ensuring that AI agents work smoothly alongside current systems and do not disrupt established workflows.
Finally, ongoing monitoring is essential to track performance, measure effectiveness, and make continuous improvements.
How can Infosys BPM transform your business with enterprise AI solutions?
Infosys BPM offers comprehensive enterprise AI solutions through our Infosys Topaz platform. By leveraging agentic AI, Infosys BPM enables businesses to automate intricate workflows, reduce operational costs, and accelerate decision-making processes, thereby driving substantial ROI and fostering a culture of continuous improvement. With over 12,000 AI assets and 150+ pre-trained models, Infosys BPM provides ready-to-use industry solutions that emphasise responsible and ethical AI practices.
