Case Studies | SaaS B2B

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Intelligent Document Query Platform

About

A SaaS B2B business working with Cloud Combinator on AWS. The client is anonymised at their request.

Challenge

The engagement had three focus areas.

Grounded, tuneable document querying

Users needed to query their documents and get answers grounded in that content, with control over model behaviour such as temperature and tone exposed simply through a front end rather than buried in configuration.

Identity-aware, permissioned access

Each customer's data had to stay isolated and access controlled. The model needed to know who was asking without the user stating it, so identity had to flow from Amazon Cognito into the query itself, and results had to respect each user's permissions.

Repeatable, safe provisioning

The client needed to stand up a new customer account containing all the required services in a repeatable way, and to keep the model safe from misuse through pre-screening and guardrails before any query reached the knowledge base.

Solution

Delivered under Cloud Combinator's AI and ML Project Accelerator, the build split into a querying component and a new customer set up component, tested against example data provided by the client.

Bedrock

Grounded document querying with Claude 3

1,000

Scale the solution is costed to support (projected)

CloudFormation

Repeatable per-customer account provisioning

By the numbers:

  • Bedrock - Grounded document querying with Claude 3
  • 1,000 - Scale the solution is costed to support (projected)
  • CloudFormation - Repeatable per-customer account provisioning
Changes

The proof of concept demonstrated both halves of the client's vision: accurate, safe querying over a Bedrock Knowledge Base, and a repeatable, Cognito-permissioned way to provision a new customer, all deployed as infrastructure as code.

  • Querying proven — A Bedrock Knowledge Base answering questions grounded in the client's own documents, with temperature and tone tuneable through the front end.
  • Identity-aware by design — Amazon Cognito identity flowed into each prompt so the model knows who is asking, with per-customer permissioned access to the data.
  • Safe by default — A Claude 3 pre-screening stage and guardrails that check every prompt for misuse before it reaches the knowledge base.
  • Repeatable provisioning — CloudFormation plus AWS Control Tower to stand up a new customer account with the required services.
  • Handover — A working front end, demonstration and documentation delivered, with the client's technical lead engaged to continue development in Amazon Bedrock.

With the querying capability and the account model both proven, the client have a clear, secure blueprint for taking their document query product to market, on an AWS foundation ready to support continued development.

AWS Stack

Amazon Bedrock Knowledge Bases

For grounded document querying with Claude 3.

Amazon Cognito

For user authentication and identity-aware, permissioned access.

AWS Lambda

And Amazon SQS for the secure, buffered serverless query pipeline.

Amazon S3

For document storage underpinning the knowledge base.

AWS CloudFormation

And AWS Control Tower for repeatable per-customer account provisioning, with AWS Amplify for the front end.

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