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Leading Engineering Firm Revolutionizes Knowledge Management with a Serverless GenAI Assistant on AWS

A leading engineering firm empowers teams with instant access to centralized technical documentation

Engineering
4 min read
AWS LambdaAmazon BedrockKnowledge Management
85%
Faster Retrieval
500+
Documents Indexed
40%
Fewer Escalations

Overview

A leading engineering firm partnered with Ironbook.ai to build and deploy a GenAI-powered knowledge base assistant into production. The system, now live and actively used by the firm's engineering and support teams, centralizes technical documentation and support protocols, enabling instant information retrieval across the organization.

The Challenge

Understanding the business problems that needed to be solved

The firm's engineering and support teams faced systemic inefficiencies in knowledge management that impacted productivity and service quality:

  • 1Technical documentation, best practices, and support guides were scattered across various documents and systems, creating a fragmented knowledge repository.
  • 2Engineers spent valuable time searching for information across multiple, often outdated sources, delaying problem resolution.
  • 3Existing support protocols failed to capture all necessary information, leading to recurring knowledge gaps and inconsistent service quality.
  • 4Manual processes for sifting through dense technical documents were slow, error-prone, and impacted team productivity.

The Solution

How Ironbook.ai delivered a transformative AWS solution

Ironbook.ai delivered a GenAI-powered knowledge base assistant built on AWS serverless architecture:

  • Implemented AWS Lambda as the central orchestrator, connecting Amazon Bedrock for generative AI capabilities with Amazon OpenSearch Service for high-speed vector search.
  • Built a comprehensive document ingestion pipeline to process and index technical documentation, creating a single source of truth.
  • Deployed Amazon Bedrock with advanced embeddings for semantic understanding of technical queries and context-aware responses.
  • Established enterprise-grade security using AWS IAM for access control, Amazon KMS for encryption, and AWS CloudTrail for audit logging.
  • Created an intuitive chat interface allowing engineers to query the knowledge base using natural language.
  • Implemented feedback loops to continuously improve response accuracy based on user interactions.

Architecture Diagram

Visual representation of the AWS serverless architecture

A Leading Engineering Firm Architecture Diagram

Click to enlarge

Technologies Used

AWS LambdaAmazon BedrockAmazon OpenSearch ServiceAWS IAMAmazon KMSAWS CloudTrailS3API Gateway

The Results

Measurable outcomes and business impact

Since deploying to production, the GenAI Knowledge Assistant has transformed the firm's knowledge management capabilities and team productivity:

85% Faster Information Retrieval

Engineers now retrieve accurate answers in under 10 seconds compared to an average of 45 minutes of manual searching, dramatically accelerating problem resolution in production.

500+ Documents Indexed

The production system ingested and indexed over 500 technical documents, creating a single source of truth and eliminating fragmented information silos.

40% Improvement in Support Consistency

Standardized, AI-driven responses improved the consistency of support answers across the team, reducing escalation rates by 40%.

Secure & Compliant in Production

The live system operates with full IAM access controls, KMS encryption, and CloudTrail audit logging, meeting enterprise compliance requirements.

Ready to Transform Your Business?

Let's discuss how Ironbook.ai can help you achieve similar results with AWS cloud solutions tailored to your needs.