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Quotation design

The output is a branded quote, so the hero is a quotation document and the workflow is shown by hand versus automated.

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  • Rewritten from the case study on devopstechlab.com (PDF supplied 1 Oct 2026). No figures added beyond the original page.
  • Client has agreed to be named on the new site (confirmed 1 Oct 2026).
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AI & GenAIAWSClient story

The One Technologies

AI quote and proposal automation for corporate gifting

Customer requirements become budget-compliant recommendations and branded quotations within minutes.

Told by a Generative AI Engineer from DevOps TechLabCorporate gifting2 min read

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

By hand, for every enquiryAutomated

  • 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

  1. 01
    Discovery

    mapped the quotation workflow from enquiry to final quote; chose Amazon Bedrock to keep operations simple.

  2. 02
    Design

    a fully serverless architecture on API Gateway, Lambda, Aurora PostgreSQL Serverless v2 and Amazon Bedrock, reviewed with cost estimates before build.

  3. 03
    Build

    AI recommendations, automated hamper generation with business-rule checks, and branded PDF quotations stored in S3.

  4. 04
    Security

    IAM, AWS Secrets Manager, RDS Proxy, private networking and VPC endpoints; infrastructure as code with CloudFormation.

  5. 05
    Optimisation

    serverless cost tuning, Aurora tuned to the workload, faster document generation; a roadmap for Amazon Cognito and further automation.

The architecture

Architecture as built
  • 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.

Source

  1. Original case study on devopstechlab.com
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