Build Your Internal GenAI QA Capability
A 5-7 day methodology transfer engagement - custom QA playbook, configured evaluation framework, 100+ test cases, CI/CD integration, and optional team training.
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The QA Program Design is genai.qa’s methodology transfer engagement - a 5-7 day sprint that builds your team’s internal GenAI QA capability from the ground up.
When to Build Internal QA
There is a natural progression for GenAI teams: you start with external sprints to get baseline quality metrics and identify critical risks. As your application matures and your team grows, you need internal QA capability for day-to-day testing - the kind of testing that happens on every PR, every prompt change, every model upgrade.
The QA Program Design sprint bridges external expertise and internal ownership. We design the program, configure the tools, create the test cases, and train your team. You run the program from day one.
What We Build for You
Custom QA playbook - A 30+ page document tailored to your specific stack, application architecture, and risk profile. Not a generic handbook - a playbook that your team can follow step by step for every release cycle.
Configured evaluation framework - We don’t just recommend tools. We configure them. Promptfoo configured with your system prompts, evaluation criteria, and test datasets. DeepEval integrated with your Python test suite. RAGAS connected to your retrieval pipeline. Ready to run on day one.
Test case library - 100+ reusable test cases organized by category: functional correctness, hallucination detection, edge case coverage, adversarial inputs, consistency checks, and regression tests. Each test case includes the input, expected behavior, evaluation criteria, and severity classification.
CI/CD integration - Example pipeline configurations for GitHub Actions or GitLab CI that run GenAI quality gates on every deployment. Your team sees test results before any change reaches production.
Team training - An optional half-day session where we walk your team through the playbook, the tools, the test cases, and the CI/CD integration. Hands-on practice, not slides.
The Ongoing Relationship
Internal QA handles the daily work. genai.qa handles the periodic independent assessments and adversarial red-teaming that internal teams cannot objectively perform on their own systems. Most QA Program Design clients transition to a quarterly sprint cadence - an independent assessment every 90 days to validate internal testing quality and catch blind spots.
Book a free scope call to discuss your team’s QA program requirements.
Engagement Phases
Current State Assessment & Requirements
Evaluate your existing QA processes, tech stack, CI/CD pipeline, and team capabilities. Define requirements for your internal GenAI QA program.
Framework Design & Test Case Library
Design evaluation framework, configure chosen tools (Promptfoo, DeepEval, or custom), create reusable test case library (100+ test cases), and design CI/CD integration.
Documentation & Team Training
Deliver custom GenAI QA playbook, CI/CD integration guide, and optional half-day team training session.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Internal QA Capability | No internal GenAI QA process - fully dependent on external sprints | Structured internal QA program with trained team, configured tools, and 100+ test cases |
| CI/CD Integration | GenAI testing is manual and ad-hoc | Automated GenAI quality gates integrated into CI/CD pipeline |
| Time to Independent QA | Building internal eval suite from scratch: 2-3 months | Production-ready QA program delivered in 5-7 days |
Tools We Use
Frequently Asked Questions
What is the price?
USD 10,000 for framework + documentation, USD 12,500 including half-day team training. Fixed-price, fixed-scope.
Does this replace ongoing genai.qa sprints?
It complements them. Your internal team handles day-to-day QA; genai.qa provides periodic independent assessments and red-teaming that internal teams cannot objectively perform on their own systems.
What tools do you recommend?
It depends on your stack. Promptfoo for general LLM evaluation, DeepEval for Python-native teams, RAGAS for RAG-specific metrics. We evaluate your needs and recommend the best fit - not the tool we prefer.
How long until our team is self-sufficient?
Most teams are running independent evaluations within 2 weeks of the training session. The 30-day email support ensures you have a safety net during the transition.
Break It Before They Do.
Book a free 30-minute GenAI QA scope call. We review your AI application, identify the top risks, and show you exactly what to test before you ship.
Talk to an Expert