Production AI Product Development on AWS Bedrock by Horizon Digital

Horizon Digital builds full production-grade AI products on AWS — the next step beyond a proof of concept. Where a POC proves the model and the architecture, this engagement delivers a hardened, evaluated, observable, and operable AI product that your customers or staff use in their daily workflow.

What we deliver:

• Production architecture on AWS Bedrock and Amazon SageMaker, including retrieval-augmented generation (RAG), agentic orchestration where appropriate, and structured output via guardrails.
• Hardened data pipeline: knowledge ingestion, chunking, embedding, vector store (Amazon OpenSearch or Aurora pgvector), refresh cadence, lineage.
• Evaluation harness: gold-standard test set, evaluators for groundedness, accuracy, safety, latency; integrated with CI/CD.
• Observability: Arize Phoenix or equivalent for trace, span, and feedback capture; alerting on drift, cost, and quality regressions.
• Operational handover: runbooks, on-call procedures, prompt versioning policy, model upgrade playbook, cost controls.

Typical AWS services in scope: Amazon Bedrock (Claude, Nova, Llama, etc.), Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, Amazon SageMaker AI, Amazon OpenSearch Serverless, Amazon S3, AWS Lambda, Amazon API Gateway, Amazon CloudFront, AWS Step Functions, Amazon Cognito or Microsoft Entra ID federation for authentication, Amazon CloudWatch and AWS X-Ray for observability.

Who this is for:

• SMB AI Product (8 weeks): focused single-use-case AI product with RAG over a defined corpus, one to two integrations, single-region deployment, baseline evaluation suite.
• Enterprise AI Product (16 weeks): multi-use-case AI platform with agentic workflows, larger corpus, deeper integrations, multi-environment deployment, rigorous evaluation harness, observability and cost-governance dashboards.

Why Horizon Digital:

• AWS AI Services Competency partner — current production deliveries on Amazon Bedrock include RAG, multi-agent orchestration, and full observability stacks.
• Australian-based delivery. Compliance aligned to the Australian Privacy Principles (APP).
• Beyond POC: every AI product ships with evaluation, observability, and operational runbooks. Built to be operated, not just demoed.