TLDR: Tata Consultancy Services (TCS) and MIT Sloan Management Review (MIT SMR) have launched a new research series and unveiled a comprehensive roadmap for human-AI collaboration in large enterprises. The initiative highlights a pivotal shift in AI’s role from an adviser to an architect, introducing ‘Intelligent Choice Architectures’ (ICAs) as a new paradigm where human judgment and machine intelligence converge to enhance strategic decision-making across various industries.
BOSTON | MUMBAI, July 15, 2025 – Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, in collaboration with MIT Sloan Management Review (MIT SMR), has announced the launch of a groundbreaking research series. This initiative aims to explore the next phase of human and artificial intelligence (AI) collaboration within large enterprises, providing a roadmap for organizations proactively investing in AI-led solutions.
The year-long, multi-sectoral study, which drew insights from experts and pioneers at organizations like Walmart, Meta, Mastercard, and Pernod Ricard, spans six key industries: manufacturing; retail and consumer packaged goods; banking, financial services, and insurance (BFSI); life sciences and health care; energy, resources and utilities; and communications, media, and technology. The research identifies a critical shift in AI’s role: it is moving from being a mere ‘adviser’ to an ‘architect’ in strategic decision-making. This means AI’s value is evolving from simply improving business processes to enhancing the quality of options available for better decision-making.
A central revelation of this collaborative research is the emergence of ‘Intelligent Choice Architectures’ (ICAs). ICAs represent a new paradigm where human-centric AI systems actively participate in structuring and shaping strategic decisions by generating novel options, predicting outcomes, and guiding choices. Michael Schrage, Research Fellow at MIT Sloan’s Initiative on the Digital Economy and report co-author, emphasized this shift, stating, “ICAs flip the script. They do not just learn from decisions — they learn how to improve the environment in which decisions are made. That’s not analytics, that’s architecture.”
Ashok Krish, Head of AI Practice at TCS, elaborated on the impact of ICAs: “By augmenting human judgment with machine intelligence, ICAs shift AI from task automation to building superior decision environments for complex multi-factorial situations, enabling more trackable, traceable outcomes that ensure accountability. They help align talent development strategies with organizational goals, making it easier to identify and nurture high-potential employees in the AI-era. Ultimately, ICAs foster environments where human judgment and AI work together seamlessly to create connected organization intelligence, where smarter and more informed decisions are made.”
The study provides compelling examples of ICAs in action across various sectors:
Retail: Pernod Ricard utilizes ICAs to test creative designs earlier in campaign development, enabling swift testing, refinement, and content personalization. Walmart employs ICAs in its HR department to identify talent in local stores, expanding options for internal team development.
Manufacturing: Companies like Cummins are exploring generative AI to simulate extreme scenarios in powertrain design, demonstrating how ICAs can improve resilience and reduce time to market.
BFSI: Mastercard aims to integrate ICAs across onboarding, customer care, and sales functions to unlock cross-functional insights and enhance operational efficiency. Liberty Mutual’s Open AI application, LibertyGPT, saved employees over 200,000 hours in 2024 by finding answers and summarizing vast information.
Communications, Media, and Technology: British telecommunications company BT developed Aimee, an AI-driven assistant handling approximately 50% of customer interactions on product or billing questions and augmenting human advisors. Tech major Meta’s ICA framework enables internal teams to make data-informed product decisions faster, experiment with new business models, and optimize user engagement.
Life Sciences and Healthcare: The study found that ICAs combined with scientists can transform drug research, prioritizing candidates with higher success probability, potentially reducing drug discovery time by 20% to 30% and related costs by 30% to 40%.
David Kiron, Editorial Director at MIT Sloan Management Review, underscored the collaborative nature: “This isn’t AI as co-pilot. This is AI and humans working together as architects to redesign how people perceive, weigh, and act on choices.” Sankaranarayanan Viswanathan, VP & Head of Business Innovation Corporate Technology Office at TCS, added, “The real challenge for enterprises isn’t just making better decisions—it is recognizing that decisions are merely the outcome of the choices they privilege or overlook. What we need are systems that foster intelligent choice architectures—enabling the organization to see, understand, and act with awareness.”
Also Read:
- Wipro Highlights Generative AI’s Transformative Role in HR, Reshaping Recruitment and Learning
- Chief AI Officers: The New Architects of Enterprise AI ROI
TCS is uniquely positioned to assist enterprises in navigating this new paradigm, especially as businesses are generally positive about AI’s impact but less certain about the transformation path. TCS has enhanced its GenAI aggregator platform, TCS AI WisdomNext™ 2.0, with agentic capabilities and was recently recognized as the NVIDIA Rising Star Consulting Partner of the Year Award for AI Innovation and Excellence at GTC 2025.
