Trigyn Technologies

Would like to thank the Factspan team for extending such a warm welcome. About a month of meeting all the leaders, my team...understanding their journeys...challenges. I am looking forward to the exciting possibilities ahead.

The Banking CIO's Agentic Playbook: Why the Middle Office Will Decide the Next Decade Banking AI has a visibility problem. Chatbots customers see produce the lowest returns. The agents driving the P&L are invisible. What is visible does not win. The front office gets the headlines, the back office gets the budget, and the middle office is where the next decade will be won. Bank of America 's Erica has 3 billion conversations. An independent academic study found Erica understands 74% of queries and resolves 47%. Wells Fargo's Fargo has the same 35-point gap. Within 24 months every major bank will have a chatbot at parity with Erica or Fargo. The technology will commoditize. The chatbot was always the wrong place to look. The back office is parity, not advantage. KYC, accounts payable, document processing. Every bank gets to 20 to 30% cost takeout. The moat is shrinking, not growing. The middle office is where the engine runs. McKinsey & Company estimates banking's GenAI value pool at $200 to $340 billion annually. Risk and legal alone is $385 billion, more than 8x capital markets. Case studies have stopped being theoretical. HSBC 's AML with Google Cloud cut alerts 60%, doubled true positives, shrank cycles from a month to days. JPMorgan's Katana Lens saved over $500 million in one year. A European bank cut KYC 20% and lifted file-closure 67%. The customer never sees these. The P&L feels them every day. I have sat through board AI demos for 27 years. A chatbot lights up the room. A 31% AML false-positive reduction does not. That asymmetry is the entire problem. The integration premium. MuleSoft 's 2025 benchmark: banks with mature data integration capture 10.3x AI ROI versus 3.7x for fragmented stacks. JPMorgan's roughly $2 billion annual AI spend goes to data orchestration, not model training. The model is not the moat. The substrate underneath it is. The 93/7 trap. Deloitte found 93% of AI budgets flow to technology and only 7% to people and processes. Banks with this split are 1.6 times more likely to fail. BCG's working ratio is 10-20-70. Almost no bank invests this way. That is the gap between the 5% who scale AI and the 95% whose pilots never see production. So what does this mean for the Banking CIO Monday morning? Three things. Every CIO should know their front-middle-back AI spend split. Most do not. That alone is the diagnosis. The 93/7 has to flip. If you are 93% on technology and 7% on people, no model will close the gap. The middle office cannot be procured. Packaged solutions get every competitor to the same place. The advantage is what you build on your proprietary risk and compliance data. The bank that wins the next decade will not have the best chatbot. It will have the most invisible AI. The CIO who wins is the one who can show the board nothing. Where does your bank's AI spend actually sit? Navigating Next ▶ #NavigatingNext #Banking #AgenticAI #FinancialServices #CIO #BankingTechnology #MiddleOffice

Three days at Google Cloud Next 26. A few things stayed with me. Back in Princeton after three days at Mandalay Bay. Over 32,000 people on the floor, 700+ sessions, and the usual sensory overload of a Google keynote. Sundar 's full-stack push made headlines, the 8th gen TPUs (8t for training, 8i for inference) signaled the chip war is real, and the $750M partner fund landed exactly where it needed to. But the session that stayed with me was not on the main stage. It was a data migration panel with MaiLin Jan from Wells Fargo, Alicia Henderson from Target, and Vinay Pai from Virgin Media O2, moderated by Geeta Banda from Google Cloud . Three very different industries, one shared confession. Their data estates were not built for AI, and migration had always been a multi-year slog. That has changed. AI-assisted migration is now in production. As MaiLin put it, migration used to be the thing that delayed innovation. Now it is the thing that enables it. A real reframe for any BFSI CIO. Pulling that together with what I saw across the floor, the underlying shift at Next 26 is simple. The agentic stack is no longer a demo. It is being deployed, measured, and run as production infrastructure by some of the most regulated and complex enterprises in the world. The IT services partners who win the next decade will be the ones who can stand on a stage like Wells Fargo did and credibly say, we modernized the data, we deployed the agents, we measured the outcome. Everyone else will be selling proof of concepts. A quick acknowledgment. I attended Next 26 alongside the team at Bilvantis Technologies . They were on the floor at booth #4709 with their #PowerCenter to #BigQuery #modernization play, which is exactly the kind of workhorse capability the panels above were calling for. Thanks to Narasimha Vadde and the team for the invite and the conversations. And thanks also to Sabapathy Arumugam and Srikanth Matcha at CoreStack , where I also advise, for making time to meet at Next. Navigating Next ▶ #GoogleCloudNext #AgenticAI #DataModernization #BFSI #CloudMigration #EnterpriseAI Rajiv Batra Pallab Deb Nageswara Rao Koganti Vijay Narayanan Ashish Saxena Ezhilarasan (Ez) Natarajan Thomas Kurian

We're seeking a highly skilled and motivated Director/ Senior Director, Delivery to join our team in Bangalore and lead the delivery of exceptional data analytics solutions! The ideal candidate will have 12-15 years of experience, demonstrating a strong progression from technical roles (Data Engineering, Data Science, or Strategic Business Analytics) into consulting and delivery management. In this role, you will oversee the end-to-end delivery of complex projects, manage high-performing teams, and ensure exceptional client satisfaction by upholding the highest standards of Quality, Timeliness, Technical Rigor, and Business Grasp. If you have a proven track record of successfully managing medium-scale and complex projects, excellent leadership skills, and the ability to build strong relationships with senior stakeholders (Director/VP level), we encourage you to apply and help us drive innovation! #Director #SeniorDirector #DeliveryManagement #DataAnalytics #DataScience #DataEngineering #Consulting #Leadership