How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases

IskayPet’s office teams had a knowledge challenge. Answers to everyday operational questions, such as a return policy, a veterinary protocol, or an onboarding step, lived in hundreds of Microsoft SharePoint documents spread across four languages and three countries. Finding the right information in large document repositories took a long time. Every new store, country, or procedure made the problem bigger.

Retrieval Augmented Generation (RAG) is the usual way to solve this. But running RAG in production normally means operating vector databases, embedding pipelines, and ingestion jobs yourself.

In this post, we show how IskayPet, a leading pet care company in Iberia, built a corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail operations, veterinary care, people and onboarding, and procurement, in four languages and across three countries, with no RAG infrastructure to manage. The team built the whole solution, from the store-facing frontend to the AWS architecture and deployment, using Kiro with Claude Haiku 4.5. We cover the architecture, the SharePoint integration, the retrieval configuration decisions, and the results in production.

IskayPet chose Amazon Bedrock Managed Knowledge Bases for its managed RAG infrastructure, which removed the need to run vector stores, embeddings, or ingestion pipelines. The main reasons were:

IskayPet built the whole solution, from the store-facing frontend to the AWS architecture and service deployment, using Kiro , the agentic development environment, running on Claude Haiku 4.5 on Amazon Bedrock. As new models become available on Amazon Bedrock, IskayPet plans to evaluate and adopt them for each use case.

For model availability by AWS Region, see Supported models by AWS Region in Amazon Bedrock .

IskayPet’s documents already lived in SharePoint, organized by area and country. Rather than migrate them, the team used the native SharePoint connector in Amazon Bedrock Managed Knowledge Bases.

An agentic workflow with Kiro and a fast, cost-effective model like Claude Haiku 4.5 helped a small team move from concept to production quickly. It also kept the application code and the infrastructure consistent and maintainable.

IskayPet is a leading pet care company in Iberia. It operates more than 330 stores across Spain, Portugal, and France under the Kiwoko, Tiendanimal, Kivet, Clinicanimal and Animalis brands. With more than 4,500 employees and 7 million customers, IskayPet runs operations that span retail, veterinary clinics, animal care, procurement, and people and onboarding. Each area has its own policies and procedures, in Spanish, Portuguese, French, and English.

Across every business area, IskayPet office staff searched hundreds of SharePoint documents by hand to answer operational questions about procedures, policies, contracts, and onboarding. With operations in three countries and four languages, this took real time, and the answer was often outdated or wrong.

There was no reliable way to query corporate knowledge, and the problem grew with every country, area, or document added. IskayPet needed a solution that could do the following: