About AI MSL

CloudGeometry delivers software development and maintenance through AI-MSL – an AI-powered lifecycle execution model designed to operate on your existing systems without lock-in. It provides managed execution of software changes across maintenance, modernization, and feature delivery while keeping your code in your repositories. The model emphasizes governance, expert supervision, and system-wide context to maintain coherence over time.

AI-MSL operates as a platform plus managed service. It takes high-level business intent and translates it into a production-ready change through a governed lifecycle that includes requirements, specifications, code, tests, and documentation, all reviewed by AI lifecycle engineers before deployment.

AI-MSL relies on AppGraph system intelligence to map architecture, dependencies, and workflows. It enforces end-to-end governance with gates and human oversight, enabling enterprise-scale AI-powered software evolution without vendor lock-in.

Managed Production Ops runs on a Kubernetes platform across AWS, Azure and Google Cloud, and continually optimizes and evolves the software in production through a governed process that combines AI execution with expert supervision and production insights.

Use cases

Move to AI-powered development with platform governance and system context.
Modernize existing systems without disruptive rewrites.

Key features

End-to-End lifecycle execution with governance
AI-driven development with gates
AppGraph system intelligence
Change governance & traceability

Pros and cons

Pros

Provides end-to-end governance with expert supervision and system context.

Operates on existing systems without lock-in.

Reviews

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Frequently asked questions

What is AI-MSL?

AI-MSL is an AI-powered lifecycle execution model delivered as a managed service, operating on existing systems with governance and supervision.

How is AI-MSL priced?

Pricing is paid per completed change and described through DevCredits, with a governance-based delivery process.

Is this self-serve?

No. While users have visibility into stages, AI-MSL is delivered as a platform plus managed service.

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