Soumendra Mohanty, Chief Strategy Officer At Tredence On AI Strategy For 2025: Agentic AI, Micro-Models & Execution

What separates AI experimenters from AI winners?

In this episode of Discover Dialogues, we’re joined by Soumendra Mohanty, Chief Strategy Officer at Tredence, to explore the ever-growing divide between AI experimentation and enterprise-scale execution. As organizations rush to implement artificial intelligence across workflows and decision systems, very few are prepared to scale it with the precision, governance, and cultural alignment required. This conversation digs deep into a concept Soumendra calls Data Darwinism—a survival framework for AI in the enterprise.

Soumendra brings over 25 years of experience spanning global consulting firms, technology leaders, and digital transformation programs. His roles at TCS, Infosys, Accenture, Mindtree, and L&T Infotech have positioned him at the intersection of business strategy and technological execution. Today, at Tredence, he is leading initiatives that help companies build domain-first, verticalized AI systems that are operationally scalable and impact-focused.

The episode opens with Soumendra reflecting on his career journey—from working in large enterprise ecosystems to embracing startup-style agility and risk-taking at Tredence. He discusses what it means to lead innovation when there are no safety nets and how recalibrating one’s perspective toward business impact is critical for leadership in modern AI environments.

From there, we dive into the core theme: Data Darwinism. According to Soumendra, this isn’t about who has the biggest model—it’s about who has the best-aligned strategy, cleanest data foundation, clearest governance processes, and most adaptable culture. He breaks this down into five enterprise lenses:
 

• Business value alignment

• Technological appropriateness

• Cultural readiness

• Governance and ethical safeguards

• Operational maturity and explainability

Soumendra also shares examples of how regulated sectors like BFSI and pharma have different AI risk tolerances compared to consumer industries like retail or hospitality. He discusses the shift from generic AI models to domain-specific, vertical AI solutions—and why large language models will soon give way to micro-models running on personal devices with niche, contextual intelligence.

The conversation closes with an exploration of the co-intelligent workforce—humans and machines operating side-by-side, where leaders must evolve from being “in the loop” to being “above the loop,” shaping governance, nudging behavior, and creating frameworks for safety and success in AI-powered enterprises.

Who Should Read This
 

• AI and Data Leaders

• Strategy Officers and CIOs

• Transformation consultants and enterprise architects

• Business and tech leaders scaling AI beyond pilots

About Soumendra Mohanty

Soumendra Mohanty is the Chief Strategy Officer at Tredence, a global data science and AI company focused on solving the last-mile problem in analytics. A member of the Forbes Technology Council, he has previously held leadership roles at Accenture, Infosys, Mindtree, and LTI, building enterprise-scale strategies across industries including BFSI, telecom, healthcare, and retail.