Agentic AI & Automation Platform on AWS Outpost | Bedrock

Enterprises in asset-heavy industries — offshore engineering, shipbuilding, energy, manufacturing, logistics — face a common challenge: critical operational data is trapped across carrier websites, vendor portals, and thousands of unstructured documents. Teams spend hours manually tracking shipments across dozens of carrier websites, copying data into internal systems, and searching through PDF bundles to locate a single equipment certificate. This manual work is slow, error-prone, and does not scale.

Our Agentic AI & Automation Platform is a professional services engagement that solves both problems on a unified AWS architecture — keeping all your operational data on-premises on AWS Outpost while leveraging Amazon Bedrock's AI capabilities in the cloud.

WHAT WE DELIVER

Capability 1 — Automated Data Extraction & Reconciliation We build a multi-agent system that autonomously visits external websites and APIs on a configurable schedule. AI-driven browser automation (powered by Amazon Nova Act and AgentCore) navigates carrier portals, handles logins and CAPTCHAs, and extracts structured data. An intelligent reconciliation engine compares extracted data field-by-field against your system of record and updates only what has changed. A conversational AI assistant (powered by Amazon Bedrock) lets your team query live data and internal knowledge bases using plain English — no SQL, no portal hopping.

Capability 2 — Document Intelligence & Cross-Document Linking We build an AI-powered document processing pipeline that ingests PDFs and spreadsheets, classifies document types automatically, and uses vision AI (Amazon Bedrock Claude Sonnet) to extract structured fields from each page. The core innovation is a cross-document stitching engine that automatically links records across document types by matching shared identifiers — tag numbers, serial numbers, part numbers, certificate numbers — creating unified equipment or asset records with full traceability. Operations teams search via a web portal using natural language, and the system returns contextual answers with links to source documents using hybrid search (structured metadata + vector embeddings via Amazon Bedrock Titan and PostgreSQL pgvector).

ARCHITECTURE & DATA RESIDENCY

The platform follows a strict separation of concerns. All operational data, databases, web portals, and application servers run on your AWS Outpost inside your data centre. AI processing happens in Amazon Bedrock (ap-southeast-1) in-memory with zero data retention. No customer data is persisted outside the Outpost. All data in transit is encrypted with TLS 1.2+; all data at rest is encrypted with AWS KMS. Network connectivity uses AWS Direct Connect or VPN between Outpost and AWS Region.

AWS SERVICES USED

Amazon Bedrock (Claude Sonnet, Titan Embeddings, Nova Act), Amazon AgentCore, Amazon EventBridge, Amazon S3, Amazon RDS (MySQL/PostgreSQL with pgvector), Amazon ECS/EKS on Outpost, Amazon SQS, AWS Secrets Manager, AWS KMS, Amazon CloudWatch, and AWS IAM. This product relates to Amazon Bedrock, AWS Outposts, and Amazon AgentCore.

ENGAGEMENT MODEL

This is a 15-week fixed-scope professional services engagement delivered in parallel tracks:

• Weeks 1-2: Discovery & detailed design
• Weeks 3-4: Infrastructure setup & core framework
• Weeks 5-10: Iterative development sprints with demos
• Weeks 11-12: Integration testing & UAT
• Weeks 13-15: Production deployment & hypercare

We provide solution architecture, development, testing, deployment, knowledge transfer, and post-go-live hypercare support.