Key insights include:
Governance models for integrating AI expertise at the board level, including why CHROs should partner with CEOs to recruit AI-native board directors with hands-on experience in generative AI, agentic systems, enterprise-scale deployment, and measurable business outcomes.
A blueprint for creating a Corporate Superintelligence Lab, or CSL, including the leadership structure, core roles, and talent strategy needed to build an internal AI unit made up of AI scientists, applied AI leads, AI operations and infrastructure experts, and business translators.
Workforce design principles for AI-native roles and augmentation, including how CHROs can redesign job architectures, incorporate AI into KPIs and performance reviews, launch AI literacy programs, and introduce agentic workers across functions such as HR, compliance, and procurement.
ROI benchmarks for the deployment of agentic AI and workforce productivity, including guidance on pilots tied to measurable cost savings, revenue lift, safety, governance, and business-unit ownership.
Drawn from Christian & Timbers’ proprietary AI Leadership Search Model, the paper provides a CHRO-focused playbook for building AI-native boards, recruiting Chief AI Scientists, standing up Corporate Superintelligence Labs, and redesigning the workforce for the agentic AI era.
The whitepaper includes cross-industry examples from financial services, biotech, pharma, manufacturing, industrials, and retail to help leaders identify relevant peer models and talent patterns.
