What's Old Is New Again

Thirty years ago, Michael Hammer and James Champy urged businesses to radically redesign their processes. Today, as AI and Generative AI promise unprecedented innovation, their principles of Business Process Reengineering (BPR) are more critical than ever.

This brief explores how to leverage AI for true transformation, learning from past mistakes to avoid simply automating inefficiencies. Discover how a strategic approach, focused on understanding your core processes and empowering your people, can unlock the revolutionary potential of AI.

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This brief discusses the transformative potential of AI and digital technologies in revolutionizing business operations by streamlining workflows, reducing manual tasks, and creating competitive advantages. Many organizations focus on isolated AI solutions that provide only marginal gains and limited scalability. To achieve significant operational improvements and value, leading companies are shifting to a digital portfolio management approach to realize the promise of digital transformation.

A digital portfolio management platform aids in offering visibility into business process taxonomies, allowing companies to map digital opportunities and evaluate the impact of process ownership, maturity, and value. Governance through cross-functional collaboration and digital portfolio reviews helps prioritize opportunities, ensuring that digital initiatives align with business strategies. A case study of a global life sciences company demonstrates how this approach improves visibility, aligns initiatives, and drives significant value through AI and digital transformation.

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This brief on Digital Product Management explores the transformative role of AI in revolutionizing industries, particularly in med tech, where advancements in healthcare delivery, diagnostics, and robotics are reshaping patient outcomes. AI technologies enable personalized medicine, enhanced imaging, and automation, while improving administrative efficiency and fostering real-time health monitoring.

To successfully bring digital and AI-enabled products to market, companies must focus on agile development, risk management, and measurable results. Effective digital product portfolio governance is critical, requiring cross-functional leadership to manage complexity and ensure value-driven decision-making. The paper highlights the importance of maintaining a balance between vision, viability, and value throughout the product lifecycle.

Customer journey mapping is essential in creating seamless digital experiences, while innovative methods are necessary to meet evolving customer expectations. Vision realization is driven by repeatable methods such as playbooks, prototyping, and agile frameworks. A digital PMO oversees execution, while an AI Center of Excellence ensures a unified AI strategy and alignment with business objectives.

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This brief explores the transformative potential of AI in redefining industries and enabling organizations to innovate, enhance operations, and drive competitive advantage. Unlocking AI's full potential requires a strategic approach centered on mature data systems and scalable AI capabilities. By focusing on three foundational pillars—knowledge and semantic management, process intelligence, and data lineage—organizations can establish the critical frameworks needed for successful AI integration.

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This brief delves into the role of AI agents in automating routine tasks, providing predictive insights, enhancing customer interactions, and managing risks. It highlights their impact on the life sciences sector, where they support operational efficiency, accelerate clinical development, and improve diagnostics and patient care. Furthermore, it covers critical implementation considerations, including organizational redesign, employee training, governance, and platform integration strategies.

As AI agents evolve to incorporate reinforcement learning and other advanced capabilities, their adoption is expected to become mainstream. By understanding their potential and addressing key adoption challenges, organizations can harness AI agents to achieve competitive advantage and deliver measurable value.

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