Author: Mike
What Is Context Engineering? Context Engineering is the practice of selecting, organizing, managing, and delivering the right information to an AI system at the right time so it can reason, plan, and complete tasks accurately. It combines memory, enterprise knowledge, user preferences, real-time data, business rules, and external tools to give AI agents the context they need to make intelligent decisions. For traditional AI chatbots, a prompt may be enough. For Agentic AI, which performs multi-step tasks and interacts with enterprise systems, context is the foundation of intelligence. Key Takeaways Why Context Engineering Is Becoming the Most Important AI Skill…
Enterprises Shift Beyond Traditional Automation Toward Intelligent, Self-Operating Business Processes For years, businesses have invested in automation to eliminate repetitive tasks, improve efficiency, and reduce operational costs. Robotic Process Automation (RPA), workflow engines, and AI-powered assistants have streamlined many business functions, but most still rely on human intervention for decision-making and exception handling. That is beginning to change. The rise of Agentic AI is enabling enterprises to move beyond automation toward autonomous operations, where intelligent AI agents can reason, make decisions, coordinate workflows, and execute complex business processes with minimal human involvement. This shift is laying the foundation for what…
Regulators Call for Stronger Guardrails as Autonomous AI Expands Across Banking and Financial Markets The rapid adoption of agentic AI in banking and financial services is prompting fresh warnings from central bankers and regulators, who say existing oversight frameworks may not be sufficient for increasingly autonomous AI systems. As financial institutions deploy AI agents to automate trading, payments, fraud detection, and customer service, policymakers are urging the industry to strengthen governance, resilience, and risk controls. Why Regulators Are Concerned Unlike traditional AI systems that generate recommendations, agentic AI can independently make decisions, execute transactions, and interact with multiple financial systems.…
Artificial Intelligence is entering a new era. While generative AI changed how people create content, Agentic AI is transforming how software thinks, plans, reasons, and completes complex tasks autonomously. Unlike traditional AI applications that simply answer prompts, agentic AI systems can break problems into smaller tasks, collaborate with other AI agents, use external tools, retrieve information, remember previous interactions, and continuously adapt based on new information. Behind these intelligent systems are Agentic AI frameworks—development platforms that simplify building, orchestrating, and deploying autonomous AI agents. As enterprises rapidly adopt AI-powered automation, selecting the right framework has become a strategic decision for…
Amazon, Swiggy, and Zepto Are Building a New Era Where AI Shops on Your Behalf For decades, online shopping has revolved around one simple action—search. Whether consumers wanted groceries, electronics, fashion, or household essentials, they opened an app, typed keywords into a search bar, compared products, read reviews, and finally placed an order. That familiar shopping journey is beginning to change. Artificial intelligence is introducing a new retail model known as agentic commerce, where AI agents don’t just recommend products—they understand customer intent, compare options, make decisions, and can even complete purchases on behalf of users. The shift is already…
Indian Businesses Move from AI Experimentation to Enterprise-Scale Autonomous Operations India is emerging as a strong contender in the global race toward agentic AI, with enterprises increasingly shifting their focus from AI experimentation to deploying autonomous systems that deliver measurable business outcomes. According to industry insights, the conversation has evolved from whether organizations should adopt AI to how they can implement agentic AI responsibly, securely, and at scale. Recent research from EY’s AIdea of India: Outlook 2026 highlights this momentum, revealing that 24% of Indian enterprise leaders have already deployed agentic AI, while 91% identify deployment speed as a critical…
New AI Platform Brings Reasoning, Automation, and Governance to Modern IT Management Hexaware Technologies has unveiled Tensai® for Reasoning Ops, a new agentic AI platform designed to transform enterprise IT operations through autonomous reasoning, intelligent decision-making, and workflow automation. The platform aims to help organizations shift from reactive IT support to more proactive and self-healing operations by enabling AI agents to analyze operational data, recommend evidence-backed actions, and automate routine IT processes. Bringing Reasoning to IT Operations Unlike traditional IT automation tools that execute predefined workflows, Tensai for Reasoning Ops introduces AI agents capable of understanding operational context before suggesting…
Autonomous AI Agents Are Reshaping the Future of SaaS Business Models Agentic AI is poised to transform the enterprise software industry, with Gartner warning that nearly $234 billion in enterprise application software spending could be at risk by 2030. The research firm believes autonomous AI agents are changing how organizations interact with business applications, potentially disrupting the traditional software-as-a-service (SaaS) pricing model. According to Gartner, AI agents capable of completing business tasks across multiple enterprise systems could reduce the need for employees to interact directly with conventional software interfaces. This shift may fundamentally alter how enterprise software vendors generate revenue.…
New Platform Provides Sovereign, Sandbox-Based Environment for Deploying Autonomous AI Agents Indian AI cloud infrastructure provider NeevCloud has introduced Agentic Studio, a new platform designed to help enterprises securely develop, test, and deploy autonomous AI agents. The launch addresses one of the biggest challenges organizations face as they move from experimenting with generative AI to deploying agentic AI in production—ensuring that AI agents can safely execute tasks without compromising enterprise systems or sensitive data. Secure Execution for Autonomous AI Unlike traditional development environments, Agentic Studio provides isolated, on-demand sandbox environments where AI agents can run independently without directly interacting with…
Analyst Firm Says Autonomous AI Agents Will Transform Business Operations Beyond Generative AI Gartner believes that agentic AI is becoming the next major milestone in enterprise artificial intelligence, enabling organizations to move beyond content generation toward autonomous systems capable of executing complex business processes. According to the analyst firm’s latest research, AI agents are expected to reshape enterprise operations by improving data management, optimizing cloud resources, and automating multi-step workflows that previously required significant human involvement. The shift reflects a broader change in enterprise AI strategies. After rapidly adopting generative AI for writing, coding, and productivity tasks, businesses are increasingly…