Tess Hilson-Greener is an international speaker, researcher, transformation leader and founder of the HR2035 Foundation. With more than 30 years' experience across global organizations, government and private equity-backed enterprises, she specializes in AI-mediated organizations, workforce transformation, governance and decision architecture. Her work combines expertise across HR, organizational design, technology, executive leadership and enterprise transformation. Based in London, UK, she is also the creator of the PXB Ecosystem™, a decision-based operating architecture designed to help organizations embed accountability, governance and performance into AI-enabled execution.

• Chapter - 00: Introduction;Chapter - 01: The illusion of progress;Chapter - 02: Human–AI teaming – where organizational judgement now lives;Chapter - 03: Ethics without judgement – when systems prevent decisions;Chapter - 04: Role compression – reconfiguring HR in an AI-mediated organization;Chapter - 05: Capability under pressure – reconfiguring HR in an AI-mediated organization;Chapter - 06: Rethinking productivity in an AI-mediated organization;Chapter - 07: Leadership in the AI supercycle – redefining decision-making and accountability;Chapter - 08: The PXB ecosystem – an operating architecture for AI-mediated organizations;Chapter - 09: The architecture of AI governance – monitoring, ethics and the judgement spine;Chapter - 10: From AI tools to operating systems – implementing the AI-centric operating model;

Tess Hilson-Greener is an international speaker, researcher, transformation leader and founder of the HR2035 Foundation. With more than 30 years' experience across global organizations, government and private equity-backed enterprises, she specializes in AI-mediated organizations, workforce transformation, governance and decision architecture. Her work combines expertise across HR, organizational design, technology, executive leadership and enterprise transformation. Based in London, UK, she is also the creator of the PXB Ecosystem™, a decision-based operating architecture designed to help organizations embed accountability, governance and performance into AI-enabled execution.

• Chapter - 00: Introduction;Chapter - 01: The illusion of progress;Chapter - 02: Human–AI teaming – where organizational judgement now lives;Chapter - 03: Ethics without judgement – when systems prevent decisions;Chapter - 04: Role compression – reconfiguring HR in an AI-mediated organization;Chapter - 05: Capability under pressure – reconfiguring HR in an AI-mediated organization;Chapter - 06: Rethinking productivity in an AI-mediated organization;Chapter - 07: Leadership in the AI supercycle – redefining decision-making and accountability;Chapter - 08: The PXB ecosystem – an operating architecture for AI-mediated organizations;Chapter - 09: The architecture of AI governance – monitoring, ethics and the judgement spine;Chapter - 10: From AI tools to operating systems – implementing the AI-centric operating model;

Tess Hilson-Greener is an international speaker, researcher, transformation leader and founder of the HR2035 Foundation. With more than 30 years' experience across global organizations, government and private equity-backed enterprises, she specializes in AI-mediated organizations, workforce transformation, governance and decision architecture. Her work combines expertise across HR, organizational design, technology, executive leadership and enterprise transformation. Based in London, UK, she is also the creator of the PXB Ecosystem™, a decision-based operating architecture designed to help organizations embed accountability, governance and performance into AI-enabled execution.

• Chapter - 00: Introduction;Chapter - 01: The illusion of progress;Chapter - 02: Human–AI teaming – where organizational judgement now lives;Chapter - 03: Ethics without judgement – when systems prevent decisions;Chapter - 04: Role compression – reconfiguring HR in an AI-mediated organization;Chapter - 05: Capability under pressure – reconfiguring HR in an AI-mediated organization;Chapter - 06: Rethinking productivity in an AI-mediated organization;Chapter - 07: Leadership in the AI supercycle – redefining decision-making and accountability;Chapter - 08: The PXB ecosystem – an operating architecture for AI-mediated organizations;Chapter - 09: The architecture of AI governance – monitoring, ethics and the judgement spine;Chapter - 10: From AI tools to operating systems – implementing the AI-centric operating model;