Amazon Bedrock for Business: A Plain-English Guide

What is Amazon Bedrock?

Amazon Bedrock is AWS's managed service for accessing and building with large language models (LLMs) and other AI foundation models. Instead of training your own model or managing GPU infrastructure, you access state-of-the-art models through a simple API — and you only pay for what you use.

Models available on Amazon Bedrock include:

• Anthropic Claude — strong at reasoning, summarisation, and following complex instructions
• Amazon Nova — AWS's own family of models, including Nova Sonic for real-time voice AI
• Meta Llama — open-source models suitable for fine-tuning and cost-sensitive workloads
• Mistral — efficient European models with strong multilingual capabilities
• Stability AI — image generation models

You can swap between models with a single API parameter change, which makes it straightforward to optimise for performance, cost, or compliance depending on your use case.

Why does this matter for UK businesses?

Most businesses do not need to train their own AI model. What they need is the ability to:

• Summarise large volumes of documents automatically
• Answer customer questions accurately from their own knowledge base
• Extract structured data from unstructured text (invoices, contracts, emails)
• Generate first drafts of reports, emails, or product descriptions
• Build internal tools that give employees instant access to company knowledge

Amazon Bedrock makes all of these achievable without a machine learning team, without buying expensive hardware, and without long procurement processes.

What is Amazon Bedrock Agents?

Amazon Bedrock Agents extends the basic model access with the ability to build AI systems that can take actions — not just answer questions.

An agent can:

1. Receive a complex request ("summarise all invoices from last month and flag any over £10,000")
2. Break it down into steps
3. Call tools (APIs, databases, functions) to gather information
4. Reason across multiple results
5. Produce a structured output

This is what makes agentic AI valuable for business workflows — the model is not just generating text, it is orchestrating real work.

What about data privacy and security?

This is the most common question we get from UK businesses, and it is the right question to ask.

Amazon Bedrock does not use your data to train its models by default. Your prompts and responses are not stored or shared with model providers. All data remains within your AWS account and is encrypted in transit and at rest.

For regulated industries or organisations with strict data residency requirements, Amazon Bedrock is available in AWS regions within the UK and EU.

What does it cost?

Amazon Bedrock uses token-based pricing — you pay per thousand tokens processed (input and output). For most business use cases, this works out to a fraction of the cost of a SaaS AI tool, especially at scale.

A simple document summarisation pipeline processing 10,000 documents per month would typically cost between £50 and £300 per month depending on the model chosen and document length.

How do you get started?

The fastest path to value is to identify one specific, repetitive workflow in your business where AI could save time or improve accuracy. Good starting points are:

• Documents that need to be read and summarised regularly
• Customer queries that follow predictable patterns
• Internal knowledge that is hard to search or locate
• Reports that are assembled from multiple data sources

Book a free AI Discovery Call and we will assess your workflows and recommend the right approach — whether that is a simple prompt pipeline, a retrieval-augmented generation (RAG) system, or a full agentic workflow.