AI AGENTS FOR QUALITY ENGINEERING
Operational QA runs on its own. You provide the judgment.
Neo reads the user story, plans, explores the application, generates and executes tests, repairs automations, and consolidates evidence. Your team reviews and decides what to release.
30
skills
4
orchestration models
3
adapter axes
1 day
to deploy the catalog
Crowdar's experience in Quality Engineering, transformed into actionable agents.
The challenge
Every project ends up solving the same problems: scripts, prompts, automations, and integrations. This leads to more maintenance, less consistency, and knowledge that is difficult to scale.
The PROPOSAL
Neo transforms QA knowledge into reusable, scalable capabilities, with full traceability and human oversight.
What changes with NEO
Greater QA capacity without adding operational workload.
Fewer repetitive tasks
Agents execute processes that currently take up hours of your team's time.
Greater coverage
Your team can explore more scenarios without multiplying manual effort.
Less maintenance
NEO detects and repairs automations whenever possible.
Greater control
Every execution leaves behind traceability, evidence, and visible decisions.
NEO IN ACTION
From a user story to evidence ready for decision-making
Neo covers the entire cycle: it interprets criteria, designs the plan, explores the application, executes tests, repairs automations, and consolidates evidence.
See the full cycle in action
User Stories + Criteria
Test plan
Explore the app
Generate and execute tests
Self-healing
Evidence + Final report
SKILLS
Turn QA knowledge into reusable assets
Organize your Quality Engineering process into independent skills that you can run individually or chain together in an end-to-end flow. Knowledge is capitalized; your team decides how and when to apply it.
lippia-neo-workflow-e2e
Run the 6-step QA workflow on a user story, from end to end.
lippia-neo-read-user-story
Extract scope, acceptance criteria, URL, and credentials from a user story.
lippia-neo-create-test-plan
Generate the comprehensive test plan in specs/.
lippia-neo-generate-test-suite
Generate the test suite for the configured framework.
lippia-neo-run-and-heal
Run and self-heal tests until they pass, with a plateau cutoff.
lippia-neo-write-test-report
Compiles the final dated report with evidence.
+ qa-bootstrap-stack · qa-scripted-execution · qa-exploratory-test · qa-ci-bootstrap and the rest of the catalog
Orchestration
Your team determines how much autonomy to give the AI in each cycle.
From interactive assistance to deterministic pipelines. Your team defines how much to automate and where to maintain human intervention.
MODEL 1
IMPROVISED
AI proposes and the team decides.
MODEL 2
ADAPTIVE HYBRID
AI interprets and executes based on defined rules.
MODEL 3
HUMAN-IN-THE-LOOP
The team defines the playbook and the agents execute it.
MODEL 4
PURELY DECLARATIVE
Deterministic workflows integrated into CI/CD.
Integrations - Portability
Switch technologies without losing your QA expertise
QA knowledge endures even as technology changes. Neo decouples test logic from frameworks, models, and integrations, allowing you to evolve your stack without starting from scratch.
Frameworks
Playwright
Lippia
Pytest
CI / CD
GitHub Actions
GitLab CI
Bitbucket
LLM
Claude
Copilot / ChatGPT
Gemini
Integrations/ MCPs
Jira
Lippia Test Manager
GitLab
Azure DevOps
A single QA standard. Any stack. No need to rewrite your test logic.
Neo Benefits: Optimization and scalability for your QA strategy
Time savings
Neo performs repetitive tasks so the team can focus on analysis and decision-making.
Focus on what matters
Free up hours to explore critical scenarios, edge cases, and behaviors that are difficult to anticipate.
Consistency
The same playbook and the same criteria, regardless of who executes the process.
Traceability
Each execution leaves behind a documented plan, evidence, results, and a report.
Let's see where Neo can free up capacity in your QA team.
Learn how to apply AI agents to your stack, processes, and quality criteria.
