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01 · Use cases— The evidence

Pets at Home

3 documented AI deployments at Pets at Home, across 1 industry. Each one links to the public source it was taken from.

Handforth, United Kingdom · Founded 1991 · petsathome.com · WikipediaSource: Wikidata, 2026-11-01

3
deployments
on record
1
industry
Retail
100%
use AI agents
3 of these
3 Apr 2025
latest source date
1 report a measured outcome
§ 1

Public AI record

Pets at Home has 3 documented public AI cases on the hub, too few for a score. Customer personalization and customer service automation are common among peers but not yet documented at Pets at Home.

Low confidenceBased on 3 public cases · updated 10 Nov 2026

A record score appears once Pets at Home has 5 documented public cases. The peer comparison below already uses what is on record.

First documented case Oct 2024, latest Apr 2025. No new deployment documented since Apr 2025. Cloud providers named: Microsoft.

§ 2

Compared with peers

Against 9 other retail companies on the hub.

What peers document

  1. 33%
  2. 33%
  3. 33%
  4. Shopping recommendations3 of 9 peers · here too
    33%
4 of 6 patterns

Gaps against the industry

Signature use cases

No peer on the hub documents fraud detection or legal onboarding automation.

Stack and approach vs peers
  • Peer cases name Microsoft 68%, GCP 25%, AWS 8%.
  • AI agents: 100% of Pets at Home's cases vs 30% for peers.
  • Cases from the last 12 months: 0% vs 19% for peers.
§ 3

Deployments

3 deployments at Pets at Home, newest first.

  • 3 Apr 2025
    Retail

    Pets at Home scales fraud detection and veterinary care with AI-powered agents

    Pets at Home · Shopping recommendations · Microsoft

    Pets at Home, the UK’s largest pet care company with 450 retail stores and veterinary practices, unified its previously siloed operations by leveraging Microsoft Azure to establish a centralized data platform. Using Microsoft Copilot Studio, it developed AI agents that play critical roles in multiple business areas, notably retail fraud detection and personalized pet care recommendations for 8 million loyalty program members and 10 million pets. The AI agent analyzes large-scale transaction data to spot suspicious activity, such as repeated claims using identical photos, vastly accelerating and improving the accuracy of fraud investigations. In veterinary operations, AI transcription and scheduling tools streamline administrative tasks, allowing clinicians to spend more time on patient care. These solutions, built with strict data privacy, have enabled the company to scale, enhance consumer service, and foster business innovation.

    Multi-agent

  • 29 Oct 2024
    Retail

    Pets at Home boosted profit protection with autonomous AI agents

    Pets at Home · Legal onboarding automation · Microsoft

    Pets at Home, McKinsey & Company, and Thomson Reuters have adopted Microsoft’s Copilot Studio and autonomous agents within Dynamics 365 to automate supply chain, sales, onboarding, and due diligence workflows. These AI agents handle supplier communications to avoid disruptions, sales qualification to accelerate lead processing, client onboarding to reduce cycle times, and legal due diligence to improve throughput—all leveraging secure integration with Microsoft 365 Graph, Dataverse, and Fabric. For Pets at Home, the profit protection team uses an autonomous agent to efficiently assemble cases for expert review, leading to significant annual cost savings. McKinsey’s onboarding agent reduced lead times by 90% and administrative efforts by 30%. Thomson Reuters cut legal due-diligence time by half, improving client offerings. Success depends on supplying quality data, but the agents have shown clear productivity and cost benefits for early adopters in retail, professional services, and legal sectors.

    Multi-agentProduction

    −90%
    time
  • 21 Oct 2024
    Retail

    Pets at Home Retail Fraud Detection with Microsoft Copilot Agents in UK

    Pets at Home · Fraud detection · Microsoft

    Pets at Home, the UK's biggest pet care company, created an AI agent in Microsoft Copilot Studio to support retail fraud investigations across its omnichannel business. The company said the agent can quickly sift through large volumes of transaction data and spot suspicious patterns such as repeated use of the same image in fraudulent refund claims. Pets at Home also uses Azure as a data platform and broader AI capabilities to connect store, website, app, and veterinary practice operations while keeping customer data inside its own ecosystem.

    Agentic

§ 4

What it builds

Fraud detection is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

Microsoft is named in 3 of these deployments.

  1. Microsoft100% of these
    3
§ 6

Industries

All of these deployments are in Retail.

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