Our Reinventing Work for the Age of AI program is tailored for a select group of professionals who are keen on leveraging artificial intelligence to transform their organizations. If you fall into any of the categories below, this program is designed with you in mind:
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General Managers: As a general manager, you are tasked with overseeing and improving the overall operations of your organization. This program will equip you with the knowledge and tools to integrate AI into your workflows, enhancing productivity and efficiency.
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Executives: For executives who are at the helm of decision-making, understanding the impact and potential of AI is crucial. This program will provide you with the frameworks to make strategic investments in AI and redesign work processes for optimal results.
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HR Leaders: You'll understand how AI can revolutionize talent acquisition, management, and development, leading to a more efficient and dynamic workforce.
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Technology Leaders: If you're a technology leader eager to stay ahead of the curve, this program offers insights into the latest AI tools and automation categories, helping you make informed decisions about technology adoption.
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Change Management Professionals: If you're involved in managing organizational change, this program will provide you with practical methods to smoothly transition your team to an AI-driven work environment.
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Innovation Officers: For those tasked with driving innovation within their organizations, understanding how to harness the power of AI is key. This program will guide you through experimenting with emerging AI tools to foster innovation.
Who is this workshop for?
Executive teams (15–20 leaders) responsible for people strategy and operating model change—e.g., CEOs, CHROs, COOs, CIOs/CTOs, and VPs of HR, Strategy, Operations, and Transformation—who need a clear plan for workforce readiness in the age of AI.
What outcomes will we leave with?
A shared vision for AI-enabled work, a skills and roles blueprint (reskill/upskill/hire/partner), redesigned AI-plus-human workflows, change-leadership plan, governance guardrails (ethics, policy, compliance), and a 30-60-90 day execution roadmap with owners and KPIs.
Is this a technical program? Do participants need AI expertise?
No technical background is required. This workshop focuses on talent, org design, and change management decisions; we translate AI capabilities into practical implications for jobs, skills, policies, and culture.
How is the workshop customized to our organization?
Pre-work captures your strategy, critical roles, and pain points. We tailor sector-specific cases, draft role/skill taxonomies relevant to your context, and align recommendations to your risk posture, labor model, and existing HR tech stack. The workshop can cascade for different divisions, locations, or teams as needed.
How is it delivered and where?
Ideally this is a one- or two-day, highly facilitated working session for 15–20 leaders, held on campus at Caltech or at your location. Options include pre-reads, an executive briefing webinar, or an added half-day to deepen role maps, policy updates, or change plans.
How does this differ from the Senior Leaders Lab on AI Strategy?
Reinventing Work centers on workforce and operating model decisions—skills, roles, policies, and change. The AI-Driven Strategy: Senior Leaders Lab focuses on technology strategy—use-case portfolio, platforms, governance, and investment roadmap.
What tangible artifacts do we receive?
A leadership-ready packet: workforce capability map, priority roles with skill deltas, AI-plus-human workflow sketches, policy/governance checklist, and a 30-60-90 plan (initiatives, owners, milestones, KPIs).
Can Caltech faculty or guest experts participate?
Yes—on request we can include Caltech faculty for sessions on AI’s impact on work and organization design, invite industry speakers, and arrange campus or lab visits to contextualize trends and research.
Can we discuss sensitive org issues under NDA?
Absolutely. We don’t require proprietary data, but we can execute an NDA and structure sessions to protect confidentiality while still producing decision-ready outputs.
