CloudGeometry AWS Engineering & Managed Services, Delivered via AI-MSL

CloudGeometry, an AWS Advanced Tier Services Partner, has delivered cloud, platform and software engineering since 2014. We now deliver that work through AI-MSL, a fully managed service on top of the AI-MSL Platform: an AI-powered software development lifecycle with expert supervision built in. Every piece of work becomes a governed Change that moves through requirements, specifications, code, tests and documentation, with human approval gates between stages, all visible in the AI-MSL Portal.

Start with evidence

• Historical Change Cost Evaluation (free): we analyze about the last 30 days of your work (roughly 15 Changes) from your repository, and from Jira where available, and compare what it cost and how long it took against AI-MSL.
• System Assessment: Basic is free and establishes system complexity and maintenance cost. Extended is paid and adds modernization opportunities, total cost of ownership and other scopes. Typical results after assessment: 3x+ faster and 3x lower cost than a traditional development team model. Your precise savings and timelines are defined by the System Assessment.

Example use cases

• Cloud migration and platform engineering: move workloads to AWS, containerize services and adopt AWS managed services.
• Application modernization without a rewrite: framework and runtime upgrades, replacing deprecated APIs, modernizing authentication, service decomposition and API enablement, done incrementally.
• Software maintenance and security: vulnerability remediation, dependency and framework upgrades, bug fixes, technical-debt reduction and documentation kept in sync.
• DevOps and production operations (optional): CI/CD, hosting and managed production operations, with production findings turned into estimated Changes.
• Data platforms and analytics: data pipelines, data integration, dashboards and semantic data layers that prepare data for AI.
• AI and ML features: model integration, retrieval and knowledge grounding, agent workflows with human checkpoints, evaluation and guardrails.
• SaaS product upgrades: multi-tenancy, enterprise SSO, API integrations and new services on an existing product.
• Cloud and AI cost optimization: compute, AI-token and operations spend brought under governance, with findings delivered as governed Changes.
• Ownership takeover: take over a system from a departing team or vendor, with its knowledge captured in AppGraph.

How the work is delivered

1. AI-MSL builds AppGraph, a living model of your system, at the System Assessment and refreshes it after every delivered Change.
2. Your Product Owner describes the outcome. AI-MSL estimates scope, timeline and cost in DevCredits, and nothing starts until you approve.
3. Work is test-first. Depending on the Change, validation covers unit, integration, API, regression, end-to-end, performance, compatibility and security testing.
4. An AI Lifecycle Engineer reviews the gates and the test evidence and signs off. You receive a tested branch with its artifacts in your own repository for your review; merging is your decision.
5. Every gate decision is recorded with actor and time, and every Change keeps its requirements, specification and test evidence. A named AI Lifecycle Manager handles onboarding and priorities with your team.

Plans and deployment AI-MSL is offered as monthly plans, with Pay-per-Change for work above plan capacity. Pricing is set in a private offer. Deploy as AI-MSL SaaS, a Dedicated Managed Instance, or an Enterprise Platform in your own environment, including AWS; VPC deployment is built to your requirements. Models are chosen per activity, including Claude through Amazon Bedrock, or your own model credentials.

Security and ownership

• SOC 2: Type 1 audit underway, report expected December 2026.
• Your repositories, code, tests, documentation and Change artifacts stay yours and can be exported. No lock-in.

Get started Request a private offer from this page, or contact us at https://www.cloudgeometry.com/contact . We respond within two business days.