AI-Enabled Managed Cloud for Logistics Productivity

Driving business productivity and streamlined operations through managed cloud services with AI enablement

5 min Lesen

HCLTech enabled an enterprise-grade AI platform for a large freight, courier and logistics enterprise operating across Australia and New Zealand. The organization manages an extensive multimodal logistics network spanning road, rail, air and sea, delivering parcel, pallet, express, specialty (including temperature‑controlled and dangerous goods) and full container logistics services. They support end‑to‑end domestic and international logistics operations with a strong focus on reliability, security and operational efficiency.

The Challenge

The client initiated a net‑new AWS‑based AI and cloud platform initiative to address emerging security, governance and productivity challenges. A primary driver was the need to provide a sanctioned, secure and governed AI environment after discovery of widespread use of unapproved public AI tools across the organization, creating potential data security and compliance risks.

The Objective

The customer required an enterprise‑grade AI platform hosted on AWS that would prevent sensitive data exposure, standardize governance and enable rapid innovation. Key requirements included delivery of a secure internal AI assistant, establishment of a reusable agentic AI foundation, implementation of security and Responsible AI controls by design and scalability to support additional AI use cases without re‑architecting the platform.

The Solution

HCLTech designed, implemented and operates a secure, cloud‑native AI platform on AWS for the customer, representing new application workloads and expanded use of AWS services.

Internal AI assistant: HCLTech implemented a secure internal AI assistant deployed on AWS to provide controlled, natural‑language access to approved enterprise knowledge, including policies, SOPs, contracts, RFPs and operational documentation. The solution supports document summarization, multi‑file analysis, Q&A and controlled content generation and is accessible only within the customer’s corporate network
Agentic AI foundation: A reusable agent platform (AgentCore) was implemented to standardize agent orchestration, memory, tools, security controls and user experience. This foundation accelerates onboarding of new AI agents and use cases while maintaining consistent governance and security
Security, governance and Responsible AI controls: HCLTech embedded security, privacy and Responsible AI controls by design, including role‑based access control, content guardrails, audit logging and human‑in‑the‑loop expectations. All AI workloads are deployed within approved AWS regions with controlled data access and observability
Cloud native operations: The platform is deployed using AWS cloud‑native services with automated CI/CD pipelines, monitoring and operational visibility. Performance and reliability are monitored using Amazon CloudWatch integrated with enterprise monitoring tools

The Impact

Provisioned a secure, governed AI environment on AWS, reducing security and data‑leakage risk
Achieved ~30% improvement in application performance, resulting in faster response times and improved user experience for enterprise AI workloads
Significantly reduced security risk exposure by eliminating reliance on unapproved public AI tools and enforcing a sanctioned, governed AWS-native AI platform
Eliminated reliance on unapproved public AI tools via a sanctioned internal platform
Improved productivity through fast, natural‑language access to enterprise knowledge
Established a scalable AWS‑native AI foundation enabling rapid onboarding of future AI use cases
Enhanced governance, auditability and Responsible AI compliance
Improved operational visibility and reliability using AWS‑native monitoring and controls