Products are becoming increasingly connected and software-driven, and with this shift comes the need to manage software development alongside the products they power throughout the development process. Application lifecycle management (ALM) enables this, ensuring software requirements are met and everything is appropriately tracked. Using ALM AI solutions streamlines this process further, using solutions like Codebeamer AI ALM to build AI assistance directly into ALM workflows.

Codebeamer AI ALM embeds AI assistance directly into your ALM workflows to answer questions and streamline processes where traceability, review, and audit history already live.

Quick Review: What is ALM?

Application Lifecycle Management (ALM) is the practice and the solutions for managing an application throughout the development process. It’s like product lifecycle management (PLM) but for software. It tracks everything through ideation, development, testing, release, and maintenance, serving as a single source of truth and maintaining all relevant artifacts. With Codebeamer ALM, this includes linking requirements, risks, tests, changes, and compliance evidence into a single digital thread so teams can easily see and track what has changed and what that impacts.

ALM isn’t just a “nice-to-have”; it’s the foundation that turns software development complexity into something manageable.

Why You Should Already Be Using ALM

If your team isn’t already using an ALM solution for software development, you should be. Traditional, manual processes are error-prone, forcing teams to track things across various digital sources like spreadsheets and emails, or worse, even more manually with post-its and word-of-mouth institutional knowledge.

ALM allows you to keep everything connected and maintain a single source of truth for software development decisions and management. Requirements don’t live in isolation; they’re linked to decision discussions, change requests, test cases, etc. When something changes (which it always does), your team can quickly see what it affects and what needs to be updated, rather than having to think through all the steps and manually track down those changes.

ALM provides your team with repeatable processes for review, baseline, and impact analysis, all of which are critical for staying on top of compliance requirements.

The Benefits of ALM AI

ALM AI can help teams move faster by improving the two places where work most often breaks down: requirements clarity and test coverage. ALM AI can support authoring and review to spot ambiguity, recommend clearer wording, and reduce the back-and-forth that causes late-cycle rework. Ultimately, this allows teams to:

  • Maintain cleaner requirements with less rework: Use AI to surface ambiguity, tighten language, and encourage consistent structure—so you spend less time debating intent and more time delivering.
  • Spend more time on real engineering: Offload repetitive lifecycle tasks (drafting, refinement, documentation support) so engineers and QA can focus on design decisions and execution.
  • Improve test strategy: Generate broader, more systematic test scenarios tied to requirements, helping teams consider a fuller set of conditions and defend their verification approach.

Codebeamer AI ALM

Codebeamer AI is now available within the Codebeamer ALM interface and includes two assistants to help remove the most repetitive and error-prone parts of requirements and verification.

  • Requirements Assistant: Automatically detects requirements quality issues to remove ambiguity based on INCOSE and ISTQB guidance.
  • Test Case Assistant: Generates and optimizes test cases directly from requirements for improved accuracy, consistency, and accelerated validation.

Manual, traditional application management relies on maintaining high-quality, standards-compliant requirements that can lead to ambiguities, inconsistencies, and delays.

Codebeamer AI ALM leverages governed AI assistance within ALM workflows to drive faster time-to-market, higher quality, and greater compliance.

Get Started with Codebeamer AI ALM

ALM is already the backbone that keeps modern software development organized, traceable, and defensible—and ALM AI is the next step in making that backbone faster and easier to maintain. By improving requirement quality and expanding test coverage earlier in the lifecycle, teams reduce rework, ship with more confidence, and stay ahead of compliance pressure. In short, ALM AI helps you move more quickly without losing control. Contact us to get started with Codebeamer AI ALM.