AI assistance for application lifecycle management

Codebeamer AIMore insight.
Your engineering.

Bring focused assistance to requirements, test preparation and information discovery. Keep your engineers in charge of the decisions.

Discuss Codebeamer AI

Explore the assistants

Engineering knowledge, put to work

Intelligence in the workflow.
Judgment with your team.

Codebeamer AI adds focused assistants to the ALM environment your team works in. Use them to examine requirement wording, prepare test cases and find relevant engineering information.

Start with a specific task and a representative set of records. Review the suggestion against the product context before deciding what belongs in your controlled work.

See the Codebeamer platform

The assistant

A useful starting point

Surfaces wording issues, drafts test content or retrieves relevant information.

Your engineers

The accountable decision

Check intent, technical accuracy and suitability within your review process.

Space for the work that matters

Less friction in the detail.
More focus on the product.

Evaluate how assistance improves preparation and review while keeping engineering responsibility with your team.

Clearer conversations

Catch imprecise wording early, while a requirement is still being shaped. Give reviewers a more focused starting point.

Give a review meeting a concrete question to resolve: does everyone interpret the requirement the same way? Record the agreed intent before the discussion moves into implementation.

A stronger test brief

Give verification reviewers a shared starting point for discussing test intent before your team develops the maintained test cases.

Use the draft to compare expectations across engineering and verification. Discuss what the test is meant to demonstrate, then capture the unresolved questions for further investigation.

Context within reach

Keep related engineering knowledge close to the review discussion, so reviewers can judge a result in its original context.

When a review question has a history, bring relevant earlier work into the discussion. Compare the surrounding assumptions before deciding whether that information is useful today.

Three assistants. Distinct jobs.

Ask a better question.
Work with the answer.

Explore the work each assistant supports. Your configured environment, permissions and licensed release determine the available scope.

Requirements

Turn wording into a useful review.

The Requirement Assistant examines requirement quality against supported INCOSE rules and can suggest improvements. Review each recommendation against the intended engineering meaning.

Analyze a selected requirement’s description.
Inspect the tested rules and any rules left untested.

Requirement analysis supports English and German in the documented workflow.

Test preparation

Shape the test before writing every step.

The Test Case Assistant guides preparation through conditions, techniques, details, an outline and test steps. Edit the generated content before saving it to the configured test tracker.

Choose the testing approach for the requirement.
Review fields and the requirement-to-test relationship.

Generating a test case does not execute the test or establish complete coverage.

Semantic search

Find the meaning behind the terms.

Use the Search Assistant to retrieve relevant items from indexed engineering data. Follow the source records to judge how well the results answer your question.

Search within the information available to your account.
Check the underlying items and the index freshness.

Results depend on indexed content and access permissions.

The evolving AI toolset

New ways to find context.
A clearer path to adoption.

AI 1.2 connects Search Assistant with AI Indexing: one helps people discover project knowledge, while the other prepares it for discovery. These capabilities follow an AI release cycle separate from the core Codebeamer platform.

Semantic discovery

Only fully indexed projects appear in Search Assistant’s scope. That makes indexing readiness a practical part of introducing the new search capability, while existing permissions continue to determine which records a person can read.

Indexing under your control

Selected projects enter a managed indexing process. Administrators decide what to include and which projects take priority, then follow progress and last-indexed information to understand how current the searchable content is.

From a capability to an engineering task

Complex products.
Focused places to begin.

Choose a narrow first use case with clear reviewers and representative records. These are starting points for an evaluation, shaped around the work your team owns.

Automotive

Make intent easier to review.

Begin with a small set of system requirements. Examine wording quality, then ask your verification team to review the proposed test conditions.

Which ambiguities cause the most back-and-forth in your reviews?

Explore automotive engineering

Medical equipment in a manufacturing environment.

MedTech

Keep evidence close to the question.

Use a bounded requirements-and-test workflow to evaluate assistance. Quality and engineering owners define the checks needed before suggestions enter maintained records.

What must a reviewer see before accepting a suggestion?

Explore medical technology

Before you begin

Your AI questions.
Clear next steps.

Practical answers about access, deployment and the people responsible for the work.

Is Codebeamer AI part of the standard platform license?

Codebeamer AI is a separately licensed add-on. Confirm the assistants, release, user access and supported environment included in your proposed entitlement.

Can AI accept a requirement or approve a test?

Your team remains responsible for technical decisions and approvals. Review generated material through your configured process before relying on it.

Can we use our own AI infrastructure?

A customer-hosted option uses your organization’s Azure tenant. Assess the required services, supported configuration, data handling and operating responsibilities for your environment.

Does an INCOSE quality check establish compliance?

No. A requirement-quality check addresses supported writing rules. Regulatory compliance depends on the applicable obligations, validated process and evidence your organization maintains.

What should we prepare for an evaluation?

Bring representative requirements, a target test workflow, review owners and data-governance constraints. TriStar can help frame the fit, configuration and licensing questions for that use case.

Is Codebeamer AI the same as Codebeamer+?

They address different needs. Codebeamer+ is the SaaS delivery model; Codebeamer AI provides separately scoped assistance. Confirm availability and entitlement for the environment you choose.

Your next move

Start with one task.
Make the evaluation useful.

Bring a representative requirement, your review process and the questions your team needs answered.

Talk to TriStar