Presented by NTT DATA AIVista
At VB Transform 2026, NTT DATA AIVista CEO Bratin Saha discussed with VentureBeat CEO Matt Marshall the crucial challenge of bringing frontier AI models into regulated enterprise environments. The discussion focused on how enterprises can turn AI investments into actual value by addressing reliability, context, guardrails, and security.
Saha emphasized that success isn’t just about the AI model itself but about building a complete system around it that integrates proprietary data, domain-specific workflows, and strict controls. Many enterprise AI projects fail because they lack proper integration, governance, and clear ownership of results.
Frontier models often struggle out of the box, especially with complex workflows like insurance claims processing. The key to improvement lies in specializing the entire AI system with customer data, workflows, and institutional knowledge that typically isn’t documented. This approach includes capturing enterprise context, running cost-effective ensembles of models, and implementing rigorous guardrails.
Importantly, the last mile of AI doesn’t rely on fine-tuning models but on embedding domain expertise and protecting proprietary workflows. NTT DATA’s advantage comes from combining AI experts with business specialists who understand real-world processes.
Saha also highlighted that AI deployment should be viewed as moving workflows from one point to another, not just deploying technology. Investments should prioritize domain expertise and change management alongside technology to maximize returns.
NTT DATA advocates starting with embedding AI into existing workflows before reimagining them, especially in high-stakes environments where disruptions are risky. Their platform balances bespoke knowledge capture with scalable guardrails and mixed-model ensembles to maintain flexibility and reliability.
NTT DATA’s deep industry expertise, particularly in insurance, provides a durable competitive advantage built over decades of experience and trust.
Sponsored content by NTT DATA AIVista.
