TLDR: Tredence has launched its Agentic AI Playbook, a strategic guide designed for Chief Data & Analytics Officers (CDAOs) and AI leaders. Released on July 9, 2025, the playbook aims to help enterprises transition from experimental AI pilots to large-scale modernization by reimagining workflows, decision-making, and leadership models in the Generative AI era. It emphasizes addressing organizational design as a critical factor for successful AI adoption, focusing on key areas such as business value realization, human-AI co-intelligence, and process reengineering.
SAN JOSE, Calif. and BENGALURU, India – July 9, 2025 – Tredence, a global leader in data science and AI solutions, today announced the release of its groundbreaking Agentic AI Playbook. This first-of-its-kind strategic guide is specifically tailored for Chief Data & Analytics Officers (CDAOs) and other AI leaders, providing a comprehensive framework to navigate the complex journey from nascent AI pilots to full-scale enterprise modernization.
The playbook offers a bold and practical approach to reimagining workflows, decision-making structures, and leadership models within the rapidly evolving Generative AI (GenAI) landscape. Unlike traditional AI reports that often focus solely on tools and technological trends, Tredence’s Agentic AI Playbook challenges leaders to address a more fundamental question: how must organizations themselves evolve when AI agents become central to decision-making and execution?
Soumendra Mohanty, Chief Strategy Officer at Tredence, highlighted the common pitfalls in AI adoption, stating, “We’ve seen AI pilots fail not due to technology, but because organizations weren’t ready—lacking clear decision structures, governance, and accountability for human-machine collaboration. As AI agents take on more decisions, leaders must rethink when humans stay in, oversee, or step back from the loop. This playbook guides leaders to build the right systems, teams, and mindsets to scale GenAI successfully.”
The core philosophy of the playbook posits that the most significant risk associated with AI is not its misuse, but rather its underuse, often stemming from outdated organizational designs. It positions AI not as a supplementary tool, but as a transformative force capable of reshaping entire business models and decision rights.
Sumit Mehra, Co-founder and CTO of Tredence, further elaborated on this perspective: “Many Agentic AI discussions today are still tactical—focused on use cases, models, and tools. But leaders don’t scale strategy through pilots. This playbook is built for those designing organizations where humans and machines are peers in decision-making. That shift requires new mental models, not just new tech.”
The Agentic AI Vision Playbook is anchored in five strategic lenses, providing a holistic roadmap for enterprise AI transformation:
1. Business Value Realization: Structuring AI initiatives to deliver measurable Return on Investment (ROI), sustain stakeholder engagement, and maximize long-term value.
2. Human + AI Agents = Co-Intelligence: Redefining the role of humans in an AI-automated world and ensuring seamless alignment between human strategy and machine execution.
3. Business Process Reengineering: Leveraging decision intelligence and Agentic AI systems to automate and optimize end-to-end workflows.
4. Technology Adaptation: Guiding the integration and evolution of technological infrastructure to support advanced AI agent deployment.
5. Governance: Establishing robust frameworks for ethical AI use, data privacy, and accountability in human-machine collaborative environments.
Designed for enterprises ready to move beyond mere experimentation, the playbook challenges prevailing leadership models in the GenAI era. Its insights are derived from Tredence’s extensive experience working with Fortune 500 clients and incorporating perspectives from leading industry executives.
Also Read:
- Automation Anywhere Deepens AI Agent Capabilities with New Solutions and Platform Enhancements
- Visionet Pioneers AI-First Enterprise Transformation with Focus on Intelligent Systems and Scalable Innovation
Tredence is renowned as a global data science and AI solutions provider, particularly for its focus on solving the ‘last-mile problem in AI’ – the critical gap between the creation of insights and their actual value realization. The company achieves this through a combination of deep domain expertise, advanced data platforms, accelerators, and strategic partnerships, delivering targeted and impactful solutions to its diverse client base.
