Turning scattered company knowledge into instant answers

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

The challenge had three focus areas that the build needed to address.

Documents and exported CRM data land in an Amazon S3 bucket, which triggers an AWS Lambda that syncs an Amazon Bedrock Knowledge Base backed by an Amazon OpenSearch Serverless vector store. Specialist Amazon Bedrock Agents sit over each source, one for HubSpot, one for Yetiforce and one for internal documentation, so a query is routed to the right body of knowledge. The whole stack runs inside an Amazon VPC with public and private subnets and VPC endpoints for secure access.

Cloud Combinator delivered a working, secure knowledge base that lets the client's staff query internal documents and business systems through a single AI assistant, with authentication, usage governance and safety built in from the start.

• Unified answers — Employees query internal documents, CRM and marketing data through one conversational interface instead of searching each system separately.
• Always current — Uploading or deleting a document automatically re-syncs the Bedrock Knowledge Base, so answers reflect the latest source content.
• Governed usage — Per-user daily token limits in Amazon DynamoDB give the client clear control over GenAI cost as usage scales, with automatic daily resets.
• Enriched intelligence — The assistant combines internal knowledge with external company and credit insight from CreditSafe to build richer account summaries.
• Secure by design — Amazon Cognito authentication, a VPC with private subnets and Amazon Bedrock Guardrails keep access controlled and the model protected from misuse.
• Handover — Cloud Combinator delivered the solution into the client's own AWS account with a demonstration, materials and documentation.

With the knowledge base live, the natural next step (projected) is to integrate the assistant with the client's own front end and extend it across further data sources and markets, adapting the model and region as the service grows.