Enterprise AI

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Baran Ozkan — Building the Operating System for Financial Crime Compliance

ai, AI (Artificial Intelligence), Artificial Intelligence, CEO Interviews, Compliance, Enterprise AI, Executive Interviews, governance, Interviews

Executive Summary. Baran Ozkan explains how AI-native systems, false-positive reduction, and workflow clarity are redefining how institutions scale regulated operations without losing audit defensibility. Financial crime compliance is moving from rule-heavy oversight to operational infrastructure. As fintech and banking systems scale in complexity, institutions are being forced to rethink how monitoring, investigations, and audit readiness […]

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98% Automation: Why Most Enterprise AI Projects Fail and What Actually Works

ai, AI (Artificial Intelligence), Artificial Intelligence, Enterprise AI, Generative AI, Machine Learning

A machine learning engineer at Cognizant, Raj Bhowmik, who achieved 98% automation of EDI mapping work, shares his approach to enabling GenAI systems to work with legacy infrastructure. Enterprise IT departments face a problem: their data is stored in incompatible repositories. SAP HANA runs alongside BigQuery and Azure SQL. EDI files come in dozens of

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The Rise of Multimodal AI Agents: Smarter Systems or a Bigger Risk?

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI Automation, AI Governance, AI risk, AI safety & ethics, AI Systems, Artificial Intelligence, Emerging trchnologies, Enterprise AI, Enterprise Software, Enterprise Technology, Generative AI, Human-in-the-Loop AI, Multimodal AI, Responsible AI, Spritle Blog, SpritleSoftware

Artificial intelligence is quietly undergoing one of its most important shifts yet. For years, AI agents were largely confined to text—answering questions, generating content, or automating simple, rule-based tasks. Useful, yes—but limited. That limitation is now disappearing. We’re entering the era of Multimodal AI Agents—systems that can see, hear, read, reason, and act across multiple

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AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Artificial Intelligence is evolving at a speed few technologies in history have matched. What began as simple automation has now transformed into systems capable of conversation, emotional expression, and autonomous decision-making. AI chatbots are no longer limited to answering questions — they are advising users, offering emotional support, and influencing real-world choices. But as AI

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Why Most Agentic AI Projects Fail Before They Even Launch

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI APIs, AI Automation, AI engineering, AI Infrastructure, AI Integration, Artificial Intelligence, digital transformation, Enterprise AI, Enterprise Automation, Enterprise IT, Enterprise Software, Enterprise Technology, Generative AI, LLM Limitations, Software engineering, Spritle Blog, SpritleSoftware, workflow automation

AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models

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Vertical-First Agents: Why Industry-Specific AI Beats Generic Models

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, digital transformation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Over the past year, artificial intelligence has evolved rapidly—from simple question-answering systems to AI agents capable of executing real business actions. But as enterprises begin deploying AI across operations, one truth is becoming increasingly clear: Generic AI may impress. Vertical-first AI delivers results. Across healthcare, banking, finance, retail, logistics, manufacturing, and other regulated industries, organizations

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Building Resilient and Autonomous Enterprises 

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, digital transformation, Enterprise AI, Human-in-the-Loop, Observability, Responsible AI

From Always-On Intelligence to Enterprise Control  Just ahead of 2025, I had predicted that artificial intelligence would move decisively from experimentation to enterprise reality. That shift has now played out. Over the past year, AI has moved out of isolated pilots and into early production across core enterprise workflows. Agentic systems began executing multi-step tasks. Domain-specific intelligence started outperforming general models

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60% AI-ready Firms Mature on Responsible AI, Gaps Persist: Nasscom Report

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, Enterprise AI, NASSCOM, Responsible AI, Startups

Nearly 60% of Indian businesses confident about scaling artificial intelligence responsibly already have mature Responsible AI (RAI) frameworks, but persistent gaps around high-quality data, regulatory clarity and emerging AI risks threaten to slow safe adoption, according to a Nasscom report released on Wednesday. RAI frameworks guide the ethical, safe and accountable design, development and deployment

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HCLTech Partners With Carahsoft To Drive IT Efficiencies in US Public Sector

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, Enterprise AI, hcltech, US

HCLTech and Carahsoft Technology Corp have partnered to accelerate digital transformation for public sector agencies across the United States. Under the agreement, Carahsoft will act as HCLTech’s public sector distributor, providing federal, state, local and education agencies access to HCLTech’s technology solutions through its reseller partners and cooperative procurement vehicles. HCLTech has established a dedicated

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LTIMindtree Q3 Profit Falls 12% to ₹960 Crore on Labour Code One-Off

ai, AI (Artificial Intelligence), AI News, Artificial Intelligence, Enterprise AI, Indian IT, LTIMindTree

LTIMindtree has reported a 12% year-on-year (YoY) decline in consolidated net profit for the third quarter of FY26, primarily due to a one-time charge related to the implementation of India’s new labour codes. Net profit for the quarter stood at ₹959.6 crore, compared with ₹1,086.7 crore in the same period last year.On a quarter-on-quarter basis,

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