Compliance automation

Amazon Logistics is the last-mile delivery arm of Amazon, and its Sustainability Engineering team manages electric vehicle charging point deployment across the delivery station network.The team built a serverless design review portal on AWS that uses Automated Reasoning checks in Amazon Bedrock Guardrails and Claude in Amazon Bedrock to extract information from heterogeneous proposals, convert technical specifications into verifiable policies, and validate engineering variables with transparent compliance explanations.

Amazon LogisticsLogistics

Bluesight built Prism Assistant and a broader multi-product agentic AI platform to automate healthcare compliance workflows across its product suite.The solution uses Amazon Bedrock AgentCore, Amazon Bedrock, MCP tools, and multi-agent orchestration to gather evidence across products and produce auditable compliance determinations.

BluesightHealthcare

Stripe built a production-grade AI agent system for financial compliance on AWS to help compliance teams review thousands of transactions daily without proportional headcount growth.The system uses Amazon Bedrock with a ReAct-style agent framework, task decomposition into a DAG of sub-tasks, a dedicated agent service, and an LLM proxy with prompt caching and model fallbacks.

StripeFinance

AgeChecker.Net provides age verification solutions for ecommerce, helping merchants comply with changing regional regulations while maintaining a smooth checkout experience.The company migrated infrastructure to Google Cloud and uses Document AI to automate extraction from low-quality ID images, reducing verification time from minutes to seconds. It also plans to use Vertex AI for customer support streamlining and fraud detection.

AgeChecker.NetRetail

Shieldbase AI is an enterprise AI operating system that unifies fragmented AI tools, data systems, and agentic applications into a single automation platform.The platform acts as an integration and orchestration layer for customers, connecting multiple data sources and centralizing and indexing data, including BigQuery, for use with Google Cloud AI models.It uses Vertex AI and Model Garden on Vertex AI to power reporting, search, and workflow automation, enabling rapid AI deployment with privacy and governance controls.

Shieldbase AITech & Comms

FletcherTech, Fletcher Building’s technology division for its 30+ businesses, implemented Gemini Enterprise to make the company’s collective knowledge easier to access and to weave AI into daily work.The deployment used Gemini Enterprise with data connectors and Google Cloud console configuration, and integrated with Jira, ServiceNow, and SharePoint to support contextual answers, workflow automation, and data governance checks.Employees also used the platform to build custom agents for QA testing automation and developer coaching, and to audit data sources for sensitive items such as keys, salary, and personal data.

FletcherTechProfessional Services

Haast is a marketing compliance software for enterprises in regulated sectors like insurance and banking that automates compliance reviews across documents, websites, and multimedia.The platform uses Amazon Bedrock to power custom-built AI agents that analyze content, identify and classify compliance risks, recommend changes, and provide contextual explanations and suggested remediations.Haast also runs backend services on Amazon EKS and uses Amazon EKS Auto Mode for data pipelines, with private access to Amazon Bedrock APIs through VPC endpoints.

HaastInsurance

Treasury Intelligence Solutions (TIS) provides cloud-based payments, cash visibility, and forecasting solutions for multinational enterprises.TIS developed an AI Personal Assistant to help treasury teams streamline data-heavy finance operations and reduce manual work while maintaining accuracy and compliance.

Treasury Intelligence SolutionsFinance

Bitazza Thailand is a licensed digital asset broker in Thailand that uses Google Cloud to scale its brokerage platform and data infrastructure.The company centralizes terabytes of internal and external data in BigQuery to support business analytics, compliance reporting, and machine learning workflows without moving data.For advanced data science and machine learning tasks, the team uses Vertex AI Notebooks and BigQuery Notebooks to develop, train, and deploy models directly on BigQuery data.The company also automates CI/CD with Cloud Build and runs containerized and event-driven workloads on Cloud Run and Cloud Scheduler, helping the data team operate without a dedicated DevOps engineer.

Bitazza ThailandFinance

CellPoint Digital is rebuilding its payment orchestration infrastructure on Google Cloud to improve scalability and become more data-driven.The company supports travel payments across multiple currencies, banks, and payment methods, and uses the new platform to streamline data access, reporting, and decision-making.A three-tier microservices architecture on Google Kubernetes Engine ingests operational events through Pub/Sub into analytical services, with raw data written to BigQuery and then transformed with Dataflow and SQL/dbt for reporting and analytics.

CellPoint DigitalFinance