---
id: "entity-lloyds-banking-group"
type: "entity"
entityType: "organization"
canonicalName: "Lloyds Banking Group"
aliases: ["Lloyds"]
source_timestamps: ["§ Portfolio Management in Practice: Lloyds Banking Group"]
source_url: "https://hbr.org/2026/01/manage-your-ai-investments-like-a-portfolio"
source_title: "Manage Your AI Investments Like a Portfolio"
tags: ["enterprise-ai", "banking", "case-study"]
related: ["concept-genai-control-tower", "question-abandoning-projects"]
sources: ["spine"]
sourceVaultSlug: "hbr-seg-spine"
originDay: 1
articleStem: "hbr-foci-61-ai-investments-portfolio"
sourceUrl: "https://hbr.org/2026/01/manage-your-ai-investments-like-a-portfolio"
sourceTitle: "Manage Your AI Investments Like a Portfolio"
---
# Lloyds Banking Group

> **Type:** Organization (banking / financial services) · **Role in source:** Best-practice case study.

Lloyds Banking Group is a major UK financial institution cited as a best-practice case study for AI portfolio management. Lloyds implemented a **[[concept-genai-control-tower]]** to prioritize use cases, allocate resources, and enforce rigorous legal, ethical, and security reviews before production.

Their model explicitly balances short-term value with long-term transformation and maintains the agility to abandon projects if technological shifts dictate better alternatives — the open tension examined in [[question-abandoning-projects]]. As a regulated bank, Lloyds' governance also reflects model risk management (MRM) norms. Public communications discuss a centralized approach to generative-AI governance and risk, though the specifics of the Control Tower are captured primarily in the HBR piece.