The client
The One Technologies runs a corporate gifting business with a growing volume of customer enquiries.
The challenge
- Every gifting enquiry meant manually finding products, building hampers, checking prices and formatting a branded quotation.
- As volumes grew, quotation work slowed responses and made proposals inconsistent.
- The company wanted AI without running dedicated AI infrastructure.
The quote workflow, before and after
Find products
→AI recommendations
Build hampers
→Hamper generated with business-rule checks
Check prices
→Budget checked automatically
Format a branded quotation
→Branded PDF stored in S3
What we did
- 01Discovery
mapped the quotation workflow from enquiry to final quote; chose Amazon Bedrock to keep operations simple.
- 02Design
a fully serverless architecture on API Gateway, Lambda, Aurora PostgreSQL Serverless v2 and Amazon Bedrock, reviewed with cost estimates before build.
- 03Build
AI recommendations, automated hamper generation with business-rule checks, and branded PDF quotations stored in S3.
- 04Security
IAM, AWS Secrets Manager, RDS Proxy, private networking and VPC endpoints; infrastructure as code with CloudFormation.
- 05Optimisation
serverless cost tuning, Aurora tuned to the workload, faster document generation; a roadmap for Amazon Cognito and further automation.
The architecture
- Amazon Bedrock
- Lambda
- Aurora Serverless v2
- API Gateway
- S3
- CloudFormation
The result
Branded, budget-compliant quotations within minutes.
Less manual effort and more consistent proposals.
Faster responses to customers.
Want something like this for your team?
Tell us the questions your team asks or the work that slows you down. An engineer will suggest a small first build on Amazon Bedrock.
