Client: The One Technologies

The Challenge

The One Technologies managed a growing volume of corporate gifting enquiries where every customer request required employees to manually identify products, assemble suitable hampers, validate pricing, and prepare professionally branded quotations.

As enquiry volumes increased, manually preparing quotations became a bottleneck that slowed customer response times and introduced inconsistencies across proposals.

• Preparing customer quotations required multiple manual steps before delivery.
• Budget validation and hamper creation depended on manual verification.
• Proposal formatting consumed valuable sales team time.
• Maintaining consistency across quotations became increasingly difficult.
• The One Technologies wanted an AI-powered solution without operating dedicated AI infrastructure.

The primary objective was to automate quotation generation while improving consistency, reducing manual effort, and accelerating customer response times.

Discovery

DevOps TechLab collaborated with business and technical stakeholders to understand the existing quotation workflow and identify opportunities for AI-driven automation.

• Analysed the existing proposal generation process from customer enquiry to final quotation.
• Evaluated managed AI services and selected Amazon Bedrock to minimise operational complexity.
• Identified automated recommendation generation and branded quotation creation as the highest-value capabilities.
• Defined requirements for budget validation, intelligent hamper generation, and document automation.
• Established AWS-native security and deployment requirements.

The discovery phase produced an architecture focused on automation, scalability, and operational efficiency.

Onboarding

Following discovery, DevOps TechLab designed a fully serverless AWS architecture for intelligent quotation automation.

• Designed the application using Amazon API Gateway, AWS Lambda, Amazon Aurora PostgreSQL Serverless v2, and Amazon Bedrock.
• Designed automated quotation generation using AWS Lambda and Amazon S3.
• Reviewed architecture, deployment approach, security controls, and cost estimates before implementation.
• Planned phased deployment to minimise business disruption.

Operations & Support

• Built AI-powered recommendation services using Amazon Bedrock.
• Implemented automated hamper generation with business rule validation.
• Developed branded PDF quotation generation workflows.
• Stored quotation documents securely in Amazon S3.
• Secured the platform using IAM, AWS Secrets Manager, Amazon RDS Proxy, private networking, and VPC endpoints.
• Provisioned infrastructure using AWS CloudFormation.

All deployments were validated before production rollout to ensure reliable business operations.

Optimisation & Advisory

• Optimised serverless workloads to reduce infrastructure costs.
• Tuned Aurora Serverless v2 for quotation workload patterns.
• Improved document generation performance.
• Recommended Amazon Cognito for future user management.
• Defined a roadmap for workflow automation and AI enhancements.

Summary

By combining Amazon Bedrock, AWS Lambda, Amazon Aurora PostgreSQL Serverless v2, and Amazon S3, DevOps TechLab helped The One Technologies automate corporate gifting quotations through an intelligent AWS-native platform. Customer requirements are transformed into budget-compliant recommendations and professionally branded quotations within minutes, reducing manual effort while improving consistency and operational efficiency.

About DevOps TechLab

DevOps TechLab helps organisations design, build, and operate cloud-native and AI-powered platforms on AWS combining serverless architecture, managed AI services, and strong security practices aligned with the AWS WellArchitected Framework.