Case Studies | SaaS B2B

Turning one-off reviews into an always-on service

Intelligent Document Query

About

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

Challenge

The opportunity concentrated on three focus areas.

Making insight available on demand

Customers needed to be able to query their information whenever they wanted, rather than depending on a scheduled one-off review. On-demand access was the core of the new offering.

Enabling a subscription model

The tool had to underpin a shift in business model, from an one-time review to a recurring, subscription-based service, so the technology and the commercial ambition had to move together.

Grounding answers in the client's own information

To be trustworthy, the tool had to answer from each customer's own information rather than generic content, keeping the strategic insight specific and reliable.

Solution

The recommended design centres on an Amazon Bedrock Knowledge Base. A customer's information and insight documents are held as the knowledge source, and the knowledge base makes that material queryable through natural language.

Changes

The engagement delivered a recommended solution and design for an on-demand querying tool built on AWS AI services, aimed at converting the client's one-off reviews into a recurring service. The results below describe the intended outcomes of the build rather than measured production performance.

  • On-demand querying — A design that lets customers interrogate their insights whenever they want, using an Amazon Bedrock Knowledge Base.
  • A model shift enabled — A tool built to underpin the move from one-off reviews to a subscription-based service.
  • Grounded, specific answers — Responses drawn from each customer's own information, keeping the insight trustworthy.
  • A clear route to production — An opportunity scoped so the client can validate the approach before rolling it out to customers.
  • Handover — A recommended solution design the client can take forward into a production build.

With a working pattern for on-demand, grounded querying, the client has a foundation for a recurring insight service, able to extend the same AWS-native knowledge base approach across more customers and more kinds of information over time.

AWS Stack

Amazon Bedrock Knowledge Bases

For holding each customer's information and making it queryable.

Amazon Bedrock

For generating natural-language answers grounded in that information.

Amazon S3

For storing the documents that populate the knowledge base.

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