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    Cloud Combinator AI-DLC Enablement with Codex on Amazon Bedrock

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    Adopt AI-DLC with Codex and Amazon Bedrock through a scoped engineering pilot. Cloud Combinator configures access, introduces requirements and review workflows, enables your team and provides a rollout plan. Optional gateway services add usage attribution and budget controls. Service pricing is agreed through a private offer; AWS usage and any applicable third-party charges are additional.

    Overview

    Cloud Combinator helps engineering teams put AI-Driven Development Lifecycle practices into use with Codex and OpenAI models on Amazon Bedrock.

    The engagement starts with your engineering workflow, one selected repository and an agreed use case. Together we define the intended outcome, quality checks, data handling and AWS access requirements. We then configure the Codex connection and guide your team through a pilot from requirements to a reviewed code change and operational handover.

    The core service includes:

    • Discovery and a written pilot scope with acceptance criteria.

    • Codex configuration for the agreed Bedrock model and access path.

    • Repository instructions and templates for requirements, implementation, testing and review.

    • A guided pilot with human approval of key decisions, code changes and deployment actions.

    • Team enablement, a handover pack and a plan for wider rollout.

    For teams that need additional governance, an optional LiteLLM gateway workstream covers scoped developer access, usage attribution and budget controls. Its architecture, identity integration, model routes and acceptance tests are agreed separately. Production agent deployment and ongoing managed operations can be scoped as follow-on engagements.

    Supported Codex surfaces and features depend on the selected Bedrock configuration. The model, endpoint and inference routing are selected against your processing geography, security and performance requirements. Logging and retention are agreed before collecting prompt or source content.

    Price, delivery dates, team size and support coverage are agreed in the statement of work and private offer. Service charges are billed through the selected AWS Marketplace dimensions. Customers are responsible for additional AWS infrastructure and model usage charges, and any applicable third-party charges, separately from this professional services purchase.

    Contact Cloud Combinator using the support details on this listing to discuss suitability, scope or onboarding.

    Highlights

    • Introduce a repeatable AI-DLC workflow across requirements, implementation, testing and operational handover, with human review at agreed checkpoints.
    • Connect Codex to Amazon Bedrock using an agreed access and model routing configuration, supported by reusable setup and delivery assets.
    • Add a separately scoped governance gateway for developer access, usage attribution and budget controls, verified against agreed acceptance criteria.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Contact Cloud Combinator at hello@cloudcombinator.ai  or +44 20 3588 2584.

    Before purchase, Cloud Combinator helps you assess suitability, scope and prerequisites. We respond to enquiries received through the listing within two business days.

    After private offer acceptance, we contact you or provide next steps within two days, unless the offer specifies another arrangement. During delivery, we provide configuration guidance, troubleshooting and handover support for the agreed scope. Support hours, the post-handover support period and any response targets are specified in the statement of work and private offer. Use the support contact shown on this listing and the fulfilment page for service issues and refund requests; refund terms are set out in your offer.