AI ROI Gaps, Smarter Agents & Turning AI Pilots to Profits

Proving AI ROI remains the top challenge for half of the industry leaders. This edition covers agents asking smarter questions, automation of infra cost estimation with MCP, and exclusive insights from our Atlanta roundtable.

Top 3 Market Insights

  • Proving AI ROI is a Major Adoption Barrier: If you’ve ever struggled to prove the ROI of your AI project, you’re in good company. More than 50% of AI leaders face the same challenge! CEOs push AI without the right data maturity or governance. Many enterprises realize they don’t have skilled expertise to adopt and scale AI. If you’d like support, we’re just a conversation away.
 
  • From AI Pilots to Profits: 35+ leaders from across industries attended our recent Atlanta roundtable. The most pressing discussions at the event were on success factors for AI pilots, proving ROI from AI initiatives, and the need for a robust AI strategy. Nearly 87% executives think their org. lacks a clear AI framework. Reach out to get a full report on insights from the roundtable.
 
  • AI Agents Learn to Ask Better Questions: AI agents are starting to ask smarter, more relevant questions. Most LLMs focus mostly on productivity. A new approach pushes agents beyond mere productivity to include proactivity and personalization. This innovative approach promotes high-quality agent-user interactions.

Konverge.AI – Under the Hood

Our Work Highlights:

  • Setting up an AI Center of Excellence (CoE) for a BFSI Giant: Global enterprises are increasingly planning dedicated AI CoEs as a long-term innovation strategy. We are helping a global corporate payments company to set up their CoE in India. This helps them implement enterprise-wide Data & AI practices into their workflows.

 

  • MS Fabric’s Multimodal AI Capabilities: Fabric users can now enable auto scanning of Power BI reports to detect errors, failed visuals, and data loading issues before users encounter them. We have seen 65%+ reduction in manual QA time and faster issue resolution maintaining accuracy of the reports.
 
  • Model Context Protocol (MCP) App to Estimate Infrastructure Cost:We recently built an MCP-based app where executives upload architecture diagrams, the system identifies infra requirements, calculates real-time AWS costs and estimates the pricing, eliminating manual budget planning for each project. Reach out to know how we can build this for your org.