Author: Mike

Financial institutions are embracing Agentic AI to automate complex operations, but one challenge continues to slow adoption: governance. In highly regulated industries such as banking, AI cannot simply make decisions without providing transparency, accountability, and evidence that regulators can review. To address this challenge, Fenergo has introduced Fen-AI, a governed agentic AI orchestration platform designed specifically for financial institutions. The platform enables banks to automate client lifecycle management, Know Your Customer (KYC), Anti-Money Laundering (AML), and compliance workflows while ensuring every AI action is explainable, traceable, and supported by a complete audit trail. The launch highlights an important shift in…

The banking industry is entering a new phase of digital transformation where Agentic AI is moving beyond chatbots and virtual assistants to automate complex business processes. Singapore-based OCBC Bank has announced the deployment of an agentic AI platform called Helios to streamline wealth management client onboarding. The initiative demonstrates how autonomous AI agents can improve operational efficiency, strengthen compliance, and enhance customer experience—all while maintaining human oversight. Rather than simply answering customer queries, OCBC’s AI platform actively performs tasks that traditionally required multiple teams, documents, and weeks of manual processing. Why Wealth Client Onboarding Is Complex Opening a wealth management…

Artificial Intelligence has been part of Human Resources (HR) for several years, primarily helping organizations automate repetitive administrative tasks. From screening resumes and scheduling interviews to answering employee questions through chatbots, AI has improved efficiency and reduced manual workloads. However, a new era is emerging. With the rise of Agentic AI, organizations are beginning to rethink the role of AI in HR. Rather than acting solely as an automation tool, AI is becoming an intelligent collaborator capable of reasoning, planning, making decisions, and executing complex workflows. This shift is giving rise to Agentic HR—a model where AI not only supports…

As enterprises race to deploy Agentic AI, finance leaders are increasingly embracing autonomous AI to improve productivity, automate financial operations, and support strategic decision-making. However, a new industry report suggests that while adoption is accelerating, many organizations are struggling to translate these investments into measurable business value. Weak governance frameworks, unclear return on investment (ROI), and implementation challenges continue to slow enterprise-wide success. Finance Leaders Are Moving Beyond AI Pilots Chief Financial Officers (CFOs) are no longer limiting AI to experimentation. Many organizations are deploying AI agents across finance functions to streamline routine tasks, improve forecasting, strengthen financial planning, and…

The evolution of Agentic AI is moving beyond chatbots and virtual assistants into real-world business transactions. In a significant milestone for autonomous commerce, Visa and Chinese fintech LianLian DigiTech have successfully completed what they describe as Greater China’s first live B2B agentic payment transaction. The achievement demonstrates how AI agents are beginning to manage not only purchasing decisions but also secure payment execution within enterprise environments. AI Agents Are Becoming Active Participants in Commerce The transaction was powered by LoopXPay, an AI agent developed by LianLian. Unlike traditional AI assistants that simply recommend products or provide insights, LoopXPay autonomously managed…

As enterprises move from Generative AI to Agentic AI, technology leaders are rethinking how they invest in artificial intelligence. Rather than funding isolated AI pilots, organizations are focusing on scalable AI ecosystems that combine autonomous agents, data infrastructure, governance, and measurable business outcomes. AI Spending Is Entering a New Phase Enterprise AI investment is evolving rapidly. The first wave of Generative AI focused primarily on experimenting with large language models (LLMs), chatbots, and productivity assistants. Today, organizations are shifting toward Agentic AI—autonomous systems capable of reasoning, planning, and executing complex workflows with minimal human intervention. This transition is changing how…

Agentic AI startup Emergent has entered the unicorn club after raising $130 million in a Series C funding round, achieving a $1.5 billion valuation just over a year after its public launch. The funding marks one of the fastest growth stories in India’s AI startup ecosystem and highlights growing investor confidence in AI-powered software development platforms. The round was led by Creaegis, with participation from Claypond Capital and Sentinel Global, alongside support from existing investors. The fresh capital will be used to expand Emergent’s AI platform, accelerate product development, strengthen engineering capabilities, and support global expansion. Building Software with AI…

Cadence has introduced the AuraStack AI Super Agent, an agentic AI platform designed to automate and optimize printed circuit board (PCB) and advanced packaging design. Integrated into Cadence Allegro AI Studio, the new solution enables engineering teams to manage the entire electronic system design process—from initial system planning to manufacturing-ready designs—within a single AI-native environment. The launch expands Cadence’s growing portfolio of AI-powered engineering solutions, making it the only company to offer agentic AI super agents across the complete electronic system design workflow, including digital and analog chip design, advanced semiconductor packaging, and PCB development. Agentic AI for End-to-End System…

Businesses across Australia and New Zealand are embracing agentic AI faster than many of their global counterparts as they seek to improve customer service, according to the latest Genesys Customer Experience (CX) report. The study found that organizations in the region are placing greater strategic importance on autonomous AI than businesses elsewhere. Around 39% of CX leaders in Australia and New Zealand described deploying agentic AI as a critical business priority, significantly higher than the 22% global average and 21% across the Asia-Pacific region. AI adoption is already well underway. Nearly half (48%) of organizations surveyed said they currently use…

The Very Group has announced a three-year partnership with UiPath to modernize its retail pricing strategy using agentic AI, marking another significant step in the adoption of autonomous AI across the retail industry. The initiative aims to enhance pricing decisions by combining AI-driven automation with human oversight, enabling the retailer to respond more quickly to changing market conditions and customer demand. AI-Powered Pricing for a Dynamic Retail Market Retail pricing has become increasingly complex as businesses balance consumer expectations, competitor activity, inventory levels, promotions, and profitability. Traditional pricing processes often rely on manual analysis and periodic updates, making it difficult…