The Hidden Cost of “Human-in-the-Loop” AI Author: Varghese Chacko -Director of Technology The Hidden Cost of “Human-in-the-Loop” AI Human-in-the-loop AI creates hidden operational drag at scale Manual validation layers reintroduce delays AI was meant to eliminate Agentic AI shifts from review-driven workflows to exception-driven execution
Why Enterprises Don’t Trust AI And How Nuvento Closes the Trust Gap Author: Varghese Chacko -Director of Technology At Nuvento, we work with enterprises that are already past the experimentation phase of AI. These organizations are not asking whether AI works. They are seeing tangible
From AI Projects to AI Operating Models: A CXO’s Guide to Agentic Enterprises Because AI should run your business, not your meetings about running AI. In 2025, the world proved one thing loudly: AI is no longer a side quest. It’s the main storyline. But here’s the catch, most enterprises
What does it mean to actually be AI-ready, not just AI-experimenting? In 2023, the UK’s Royal Mail published a public apology after a large-scale IT system error resulted in thousands of wrongful fraud flags, disrupted operations, and reputational damage. The culprit wasn’t AI, but rigid automation systems
Agentic Ai 2026 your competitors hidden advantage Author: Varghese Chacko -Director of Technology Agentic AI systems operate end-to-end enterprise workflows independently Governance and auditability are mandatory for production use Competitive advantage comes from data + orchestration, not models Enterprises that use agentic artificial intelligence in their production
TL;DR Enterprises fail with agentic AI when they prioritize demos over defined business problems Giving agents unrestricted access too early increases risk and slows trust Poor data quality undermines intelligent agent performance Without evaluation and feedback loops, AI systems stagnate The fastest path to ROI
In the age of digital transformation, organizations are under increasing pressure to streamline operations, reduce manual workloads, and extract actionable insights from their data. Yet, for many businesses, a significant portion of critical information remains locked in paper documents, PDFs, emails, and other unstructured formats.
Artificial intelligence (AI) has rapidly evolved from a futuristic concept to a practical tool that is reshaping industries worldwide. While much of the early excitement around AI focused on general-purpose models, capable of everything from writing emails to generating code, the next wave of innovation
If you’re in a project meeting today and someone hasn’t mentioned large language models (LLMs), check your calendar; you might be in 2020. From marketing decks to IT roadmaps, LLMs are everywhere. But amid the tidal wave of hype, what’s often missing is a grounded,