From our research, our delivery experience, and hard lessons from our own transformation, six fundamentals consistently emerge as the foundation for scaling agentic adoption:

• Leadership and Accountability: Clear ownership at the top, turning AI from use case hunting into enterprise transformation.
• Strategy and Value: Concentrated plays tied directly to profit and loss (P&L) impact, moving from pilots to end-to-end reinvention and value tracking.
• Trustworthy AI: Policies and governance that operationalise guardrails across the lifecycle, making trust an accelerator of scale, not a handbrake.
• Operating Model: Human and agent teaming designed in levels, with roles, KPIs, and governance evolving together, while ensuring IT enables access to the most advanced models and capability.
• Technology and Data Foundations: Deliberate choices to manage token costs, sovereignty, and interoperability that make scaling sustainable and profitable, together with quality data.
• Change Readiness: Redesigning work and building human-agent fluency as a standing capability, not a training exercise.