Tata Consultancy Services Limited (TCS) has launched TCS AI WisdomNextTM, a platform that aggregates multiple Generative Artificial Intelligence (GenAI) services into a single interface and enables organizations to rapidly adopt next-gen technologies at scale, lower costs and within regulatory frameworks. The platform is designed to remove barriers for customers to develop and launch business solutions, allowing for real-time experimentation across vendor, internal, and open-source LLM models. AI and GenAI have far-reaching applications across the value chain for businesses.

However, solution designers around the world find it difficult to select, experiment and decide on the right foundational models to use. Foundational models are constantly evolving, and each model offers different capabilities in terms of mode of usage, cost, and effectiveness. TCS' AI for Business Study, a comprehensive survey on the impact of AI on businesses, found that while business executives are generally positive about the impact of AI, they are less certain about the path to transformation.

TCS AI WisdomNext helps businesses choose the right models and simplify the design of new business solutions using GenAI tools. It also enables businesses to reuse pre-existing components to accelerate the design. In the initial testing phase, TCS has already leveraged this powerful tool for many of its largest customers to create value for them and build prototypes.

Examples include fast-tracking sales for an outdoor advertising company in the US, with real-time inventory availability and quote generation with maps Integration; enhancing productivity and efficiency across the application migration and modernization lifecycle for a leading American insurance provider; and enhancing customer experience through a smart mortgage- assistant for a leading bank in the UK. TCS AI WisdomNext is an integrated enterprise AI orchestration platform with features including: Preconfigured industry solution blueprints; Intelligent `evaluator bots', which enable organizations to compare available GenAI models and related technology stack choices, helping them to make more informed decisions; Scenarios to optimize GenAI running costs using the platform's native intelligence; Centralized governance with in-built guardrails to ensure compliance with local regulations and best practices; Seamless portability feature across cloud platforms and GenAI ecosystems; Build hyper-personalized experiences, paving the way for higher customer satisfaction.