Tata Consultancy Services has launched a new industrial intelligence foundry. The AI offering enables scaled AI deployment across industrial enterprises, according to the firm, and is set to reduce new product introduction timelines by 25%.
Firms have spent tens of billions on artificial intelligence capabilities over the past three years. Yet according to research published by Valliance in mid-2026, 48% of mature organisations with established AI programmes still have AI initiatives stuck in pilot stage. A year earlier, two-thirds of financial services CEOs expected to move past the piloting phase; when surveyed again, 60% were still in it. Three recurring barriers lie behind this gap: fragmented data, governance shortcomings and organisational readiness.
At a time when businesses continue to struggle to demonstrate their returns on growing investments into artificial intelligence, bosses must find ways to scale their gains into measurable business value. And that must be beyond simply what a CEO’s gut feeling suggests.
To that end, with 80% of UK manufacturers now trialling AI to drive operational resilience, moving from AI experimentation to deployment is now the sector’s defining challenge. And Tata Consultancy Services’ intelligence foundry is aiming to address the critical gap between AI experimentation and enterprise-wide execution, providing industry-specific agents which can integrate into existing workflows safely and securely.
Speaking on the opportunity, Ramachandran S, practice leader for engineering and manufacturing in HFS Research, said, “Most enterprise AI still lives on desktops, while there is untapped value on shop floors in industrial and physical AI. According to our research, industrial organizations plan to double their physical AI spending over the next two years. That is an opportunity to unlock latent value across engineering and manufacturing workflows, especially in critical areas where prevailing technologies fall short due to cost or functionality. Industrial Intelligence Foundry is TCS’ bet to fill this gap with domain-specific AI, with the potential for significant business impact, scaling AI Implementations and not just another agentic AI project.”
Foundry offering
TCS’ new offering spans aerospace, mobility, semiconductors, medical devices, industrial electronics, utilities, and energy, bringing anticipated productivity gains projected to exceed 40% as data foundations mature. Examples of industrial AI use cases it supports include engineering intelligence, product development acceleration, product performance and quality control.
According to a statement from the firm, the offering can “help enterprises reduce new product introduction timelines by 25% and improve manufacturing productivity by 20-25%”. As data foundations and operating ecosystems mature, productivity gains “could exceed 40%”, the consultants claim, while maintaining quality, governance, and operational performance.
Sreenivasa Chakravarti, global head and vice president of industrial autonomy and engineering at TCS, said, “The next wave of industrial AI will be shaped by how effectively AI agents are orchestrated to transform engineering, plant systems, and asset-centric operations. While enterprises are scaling their use of AI agents, our firm belief is that the AI era will be won by context-aware agentic deployment across enterprises. With the Industrial Intelligence Foundry, TCS is helping enterprises to deploy domain-specific, AI applications at scale that can accelerate autonomy, and translate industrial knowledge into scalable business outcomes.”