GenAI on Amazon Bedrock

Generative AI has moved past the demo phase. The organisations winning with it are the ones who have figured out how to put it into production safely — with the right data ground truth, the right governance, and the right cost controls. The organisations stuck on it are the ones still running an isolated POC on someone's laptop while their competitors deploy.

PurePlay Cloud helps Australian organisations cross that gap on Amazon Bedrock. We design GenAI solutions with the same engineering rigour as any other production workload — security, observability, change management, cost ceilings — so what gets shipped to production stays in production.

What we deliver Discovery and use-case shaping

• Identify the highest-value GenAI use cases for your business (cost-out, revenue, productivity)
• Confirm data readiness — what corpora exist, what governance applies, what gaps need to be closed first
• Confirm AWS Cloud Experience Initiative (CEI) funding eligibility for the use case

RAG (Retrieval-Augmented Generation) architectures

• Document ingestion pipelines on AWS Glue, Lambda and S3
• Vector storage on Amazon OpenSearch Serverless, Amazon Aurora pgvector, or Bedrock Knowledge Bases
• Bedrock-hosted foundation models (Anthropic Claude, Amazon Nova, Meta Llama, others) with model selection guidance
• Guardrails for Amazon Bedrock — content filtering, denied topics, PII redaction, contextual grounding
• These can be further augmented with your data and existing workload capabilities using methods such as MCP and CLI

Agents and workflows

• Bedrock Agents with action groups, knowledge bases and orchestration
• Multi-step agentic workflows for back-office automation, customer support, document processing

Amazon Q deployments

• Amazon Q Business — secure connectors to your enterprise data sources with permissioned answers
• Amazon Q Developer — adoption rollout, governance, measurement of engineering productivity uplift

Custom GenAI applications

• Bespoke applications using Bedrock APIs, AWS Lambda, API Gateway and AWS Amplify
• Cost guardrails, model fallback and observability built in from the first deploy

Why PurePlay Cloud AI is in our DNA — our own engineers use AI coding assistants daily, and we run AI agents alongside our architects on customer engagements. We have already shipped Bedrock-based RAG architectures (CEI-funded) for customers including a major Australian construction business, and run an Amazon Q chatbot proof-of-concept (CEI-funded) in the education sector. We have a 74% AWS funding success rate, and CEI funding for GenAI use cases is one of our most reliable wins for customers.

Getting started Get in contact with our team and we will reach out within one business day. We will scope a complimentary GenAI use-case discovery session and confirm CEI funding eligibility before any commercial commitmen