Alex Dorlandt

Alex Dorlandt

Head of Supply Chain Risk, Lloyds Banking Group

Alex Dorlandt is Head of Supply Chain Risk at Lloyds Banking Group, accountable for setting the Group’s supplier policy and overseeing the supplier risk framework to drive robust onboarding, ongoing assurance, and regulatory compliance across a complex supply chain. In this role, Alex helps business teams deliver safe growth by embedding proportionate controls across outsourcing, concentration risk, , exit planning, and emerging third‑party risk themes.

With over 20 years’ experience across sourcing and supply chain risk, and more than a decade at Lloyds Banking Group, Alex has worked at the intersection of commercial delivery, risk management, and regulation—helping organisations translate regulatory expectations into practical, scalable supplier risk models. Alex is particularly interested in how firms evolve third‑party risk management to remain resilient in the face of increased dependency on critical suppliers, technology‑led change, and heightened supervisory scrutiny.

4:05 pm - 4:55 pm

CLIMATE & ESG RULES IN THE SUPPLY CHAIN – PANEL DISCUSSION

Building climate-ready third-party risk management across the EU

  • Translating EU ESG/CSRD requirements into concrete third party due diligence, onboarding and ongoing monitoring
  • Obtaining reliable climate and ESG data from critical and high risk suppliers, and dealing with gaps, inconsistent reporting and Scope 3 exposure
  • Embedding climate and ESG obligations into contracts, SLAs and exit strategies without disrupting key services or vendor relationships
  • Aligning ownership between sustainability, procurement, risk and TPRM teams to create one integrated framework that works across EU entities

11:00 am - 11:35 am

HIDDEN AI IN THE SUPPLY CHAIN: EXPOSURE, BLIND SPOTS AND CONTROL CHALLENGES

How undocumented and embedded AI across third- and Nth-party ecosystems is creating invisible risk

  • Identifying undisclosed AI usage across vendors and sub-vendors
  • Assessing vendor AI models with limited documentation or transparency
  • Managing risks around data leakage, bias, and automated decision-making
  • Strengthening contractual protections and governance for unknown AI deployment
  • Building visibility and accountability across AI-enabled supply chains