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February 25.2025
2 Minutes Read

Agentic AI: Shifting Focus from Internal Processes to Business Models

Panel discussing Agentic AI business model transformation at a conference.

From Internal Process Improvement to Business Model Innovation

At the recent NASSCOM Technology and Leadership Forum 2025, a significant conversation emerged around the potential of Agentic AI. This evolving technology operates not just as a tool for optimizing internal business processes but is expected to revolutionize how entire business models are conceived and executed. Esteemed panelists including Senthil Ramani from Accenture and Nitin Seth of Incedo emphasized how Agentic AI can create transformative efficiencies across health care, finance, and manufacturing by enabling systems that initiate actions rather than just respond to commands.

The Evolution of AI: What Sets Agentic AI Apart?

Unlike traditional AI models that limit themselves to assigned tasks, Agentic AI embodies a new paradigm where systems act autonomously toward defined goals. By fusing machine learning with independent reasoning capabilities, it promises to drive innovation through actions instead of mere suggestions. As technology advances, the anticipation for how Agentic AI can create agile solutions that adapt to real-time scenarios becomes increasingly pressing.

Real-World Applications: The Data-Driven Future

A critical aspect of Agentic AI lies in its versatile applications. From autonomous healthcare assistants that monitor patients' health and adjust treatments proactively to AI-powered supply chain experts optimizing logistics, the possibilities are vast. By breaking cumbersome tasks into smaller, actionable steps, Agentic AI can transform business operations and elevate productivity. Furthermore, anyone who has navigated a supply chain knows the complexities involved; imagine a system that autonomously adjusts operations to trends in demand and potential disruptions.

Challenges Ahead: Balancing Innovation with Responsibility

As we navigate the path to Agentic AI, it is crucial to address the ethical implications and associated challenges. Key concerns include ensuring alignment with human values, accountability for decisions made by AI systems, and data privacy. Given the autonomous nature of these systems, stakeholders must explore robust frameworks that govern how Agentic AI operates, thus avoiding pitfalls such as bias and unintended consequences.

Future Predictions: What Lies Ahead for Businesses?

The excitement surrounding Agentic AI is palpable among tech enthusiasts. Predictions indicate a rapid evolution where organizations that embrace these innovations will lead in efficiency and market competitiveness. The real challenge will be streamlining AI integration while maintaining human oversight. By fostering a collaborative environment where AI can augment human capabilities rather than replace them, businesses can steer into a future of unprecedented innovation and relevance.

In Conclusion, the transition from traditional AI roles to putting Agentic AI at the forefront signifies a profound shift in how organizations will operate. As we stand on the cusp of this AI revolution, it becomes imperative for businesses to navigate the associated challenges and harness the benefits that this sophisticated technology offers.

To stay informed about the latest developments in AI and how they may impact your world, join our newsletter for curated insights and news, ensuring you remain at the cutting edge of technological innovation.

AI Mishmash

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09.17.2025

Unlocking Seamless Transactions: Google's New AI Agent Payments Protocol (AP2)

Update Introducing Google's Agent Payments Protocol: A New Era for AI Transactions In a significant development for digital commerce, Google has unveiled its Agent Payments Protocol (AP2), designed to bridge the gap between AI agents and traditional merchants during transactions. The introduction of AP2 addresses key concerns surrounding trust and accountability in payments initiated by AI, marking a crucial step forward in the evolution of autonomous commerce. Why Do We Need a Reliable Payments Protocol? As AI technology advances, so does the complexity of transactions handled by automated agents. Traditionally, transactions assume a human is involved, clicking “buy” on an interface. However, when agents handle purchases on behalf of users, several key questions arise: Is the user's authority genuinely transferred? Does the purchase reflect the true intentions of the user? And crucially, who bears responsibility if mistakes occur? AP2 seeks to resolve these uncertainties, governing how agents, merchants, and payment processors communicate and validate shared information. Building Trust with Cryptographic Proof At the heart of AP2 lies the use of Verifiable Credentials (VCs)—digital objects that are cryptographically signed and resistant to tampering. This not only establishes a secure record of transactions but also aids in addressing the existential questions about intent and responsibility. The protocol encompasses three mandates: the Intent Mandate (for unauthorized transactions), the Cart Mandate (where a user is present), and the Payment Mandate, which delineates the role of the AI agent throughout the process. A Glimpse into the Future of Commerce with AI AI's capability to facilitate transactions could reshape the entire landscape of digital commerce. The rollout of AP2 signals a future where AI-driven shopping is more seamless and secure, fostering a marketplace where autonomous buying could thrive without the friction and fear of scams or misunderstandings. As AI agents become more integrated into everyday life, consumers will benefit from streamlined purchase processes while maintaining oversight on transactions through systems such as VCs. How AP2 Enhances User Experience The safety of user transactions hinges heavily on the robustness of the protocols governing them. Through AP2, users will have a clear framework defining how their agents can operate, ensuring they maintain control without needing to micromanage each transaction. This development will potentially lead to increased user confidence in utilizing AI to manage their purchases, opening the door for broader adoption across various sectors. What’s Next for the AI Payments Landscape? The introduction of AP2 is more than just a technological shift; it foreshadows a fundamental change in how we interact with commerce. With companies like Microsoft and other tech giants stepping into the AI payments arena, the implications for cross-platform interoperability are significant. As AI tools, such as Copilot from Microsoft, continue to evolve, they may integrate with protocols like AP2, creating ecosystems that facilitate adaptive and intelligent payment processing. As we embrace the convergence of AI and digital commerce, it’s paramount to remain aware of the challenges that lie ahead. Issues concerning data privacy, security, and ethics will continue to necessitate rigorous scrutiny and thoughtful solutions. The advancements of protocols like AP2 represent hope toward establishing a more user-centric and secure framework as commerce becomes increasingly automated. Embracing Change: Take Action The advent of protocols like AP2 challenges us to rethink our views on technology and commerce. As AI continues to evolve, so should our understanding of the intricacies involved in these transactions. Stay informed about AI advancements and consider how they might enhance your daily life. If you’re passionate about shaping the future of commerce, explore further into the Agent Payments Protocol and engage with this transformative technology.

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