Testing Levels: A layered strategy that filters defects where fixing them costs less
We organize your testing pyramid—unit, integration, system, and acceptance—so that each defect is filtered at the level where fixing it is most cost-effective.
Trusted by organizations where every level of the pyramid is equally important.
When the testing pyramid is not designed, the business pays the price
The cost of detecting defects late in the pyramid shows up in business results
CNBV, Condusef, PCI-DSS, or SOX audit findings due to case-to-requirement traceability that fails to withstand sprint-by-sprint reviews
Burned-out QA teams sustaining manual acceptance while unit and integration tests are left abandoned in the repository
Release decisions made without comparable evidence because every squad and vendor measures levels using different criteria
Competitive lag against organizations already operating AI in case design and regression prioritization under governance
Three scenarios, one business risk
The problem is not the number of levels, it is what’s missing behind them: strategy, architecture, and method
In the organizations that we advise, we see three different scenarios. Each has its own symptoms, but they all share the same consequence: when the pyramid is not designed as architecture, the risk is absorbed by the business in the form of hotfixes, regulatory findings, and releases that become uncertainty events for management.
Without Layered Strategy
All validation is concentrated at the end of the cycle, in acceptance or UAT. Every defect found there is paid at the highest price: rework, hotfixes, and escalation meetings that no one wants to call anymore.
Layers Without Criteria
There are unit, integration, and system tests, but no criteria to decide what to cover in each layer. Trivial tasks are duplicated, critical ones are left uncovered, and coverage reports stopped being read several sprints ago.
Scaled Layers, Without Governance or AI
The pyramid exists at a multi-squad and multi-vendor scale, but without level-based observability per or predictive capabilities. AI was evaluated in isolated pilots and never reached the pipeline; regression prioritization remains political,not technical.
Whatever your scenario may be, the root cause is the same: the pyramid is not designed with strategy, architecture, and a framework. That is what we design.
WHY MTP FOR YOUR TESTING LEVELS?
We don’t just promise testing levels: we deliver the results that only come with method, experience, and support
Pyramid Designed by Measurable Risk
Pyramid Designed by Measurable Risk
We Work on Projects, Not Hours
We Work on Projects, Not Hours
AI per Layer, Audit-Ready
AI per Layer, Audit-Ready
+900,000 annual executions
+900,000 Annual Executions
What changes when quality is designed, not improvised
Results the business recognizes, not just the technical team
Early Detection, Not Late Diagnosis
Coverage by Risk, Not by Volume
Each layer covers what matters based on business criticality, not inherited technical convention.
Contained MTTR, Not Crisis Escalation
When a defect explodes in production, the team knows which layer it should have been filtered in and why it wasn’t.
Reliable Pipeline, Not a Source of Noise
Objective quality gates per level and flakiness under control; the team respects the suite again instead of bypassing it.
Audit-Ready Compliance, Not Pre-Audit Scramble
Case-to-requirement traceability by level, ready for CNBV, Condusef, PCI-DSS, or SOX at any time.
Experience in environments where error is not an option
Testing Levels Operating Process
From Late Defects to Detection at the Right Level: How We Operate
Structured Quick Assessment
Defect leakage map per level, potential ROI versus current COPQ, gaps against Omniatest®, and a 90-day plan. Delivered in 5 business days.
Criticality Mapping per Layer
We identify the highest financial, regulatory, and operational risk flows. We prioritize what to cover at each level based on real business impact, not technical convention.
Pyramidal Architecture Design
We define coverage per layer, explicit entry and exit criteria per level, and objective quality gates that the pipeline respects without political overrides.
Controlled AI Activation per Layer
Generative test case design, defect prediction between levels, and anomaly detection in acceptance with human-in-the-loop and audit trails ready for inspection.
CI/CD Integration and Executive Dashboard
Native connection to the real pipeline with unified visibility across squads and vendors, comparable sprint-by-sprint metrics, and go/no-go decisions based on objective criteria.
Continuous Optimization
Periodic recalibration per level based on product evolution, regulatory frameworks, and team maturity. The pyramid stays alive; it doesn’t freeze at go-live.
Operational Scale for Organizations
Over more than 12 years in Mexico, we have helped our clients solve the most complex QA challenges.
Issues Detected
Automated Test Cases
Testing Hours
Test Cases Designed
Frequently Asked Questions About Our Testing Levels Offering
What tools and frameworks does MTP use for testing levels?
MTP operates with the standard technical stack per level and adapts to the client’s, without imposing replacements. We work with JUnit, TestNG, Mockito, and xUnit for unit tests; REST Assured, Karate, Postman, and contract testing with Pact for integration (REST, gRPC, and GraphQL); Selenium, Playwright, Appium, and testRigor for system and acceptance; and Jenkins, Azure DevOps, and GitLab for CI/CD. The selection per project is defined in the Quick Assessment based on your stack, regulatory framework, and maturity level. When an evolution is beneficial, we recommend it based on technical, not commercial, criteria.
How does MTP decide what to cover at each level of the pyramid?
By applying the pyramid calibrated by business risk, not inherited technical convention. Unit tests cover domain logic and calculation rules with high coverage and execution in seconds; this is where the bulk of the risk is filtered at a low cost. Integration covers contracts between services—REST, gRPC, Kafka events—and data validation across system boundaries. System covers end-to-end flows of journeys that generate revenue or regulatory risk. Acceptance validates business criteria with stakeholders and provides audit-ready evidence. The specific distribution is designed during the Quick Assessment based on your architecture, flow criticality, and applicable regulatory framework.
How is the defect escape rate reduced between levels?
By establishing explicit exit criteria at each layer: no defect crosses to the next level without documented evidence. This requires objective quality gates—not political thresholds—stable test data management per layer, service contracts validated in integration before touching the system, and level-based observability to detect where risk is leaking in real time. The Quick Assessment measures your current escape rate per layer and proposes specific gates to reduce it without slowing down time-to-market.
How does MTP's AI operate for testing levels under CNBV, PCI-DSS, and SOX?
Under the Controlled AI model with human-in-the-loop and full audit trails. In design, generative AI proposes cases in Gherkin format that the expert team validates before promoting them to the repository. In execution, defect prediction prioritizes which regression to run based on the risk of the change. In acceptance, anomaly detection flags deviations without making autonomous decisions. Every AI-assisted action is recorded with granular RBAC and sprint-by-sprint traceability, ready for regulatory audits at any time. The exact model configuration—AI First, Controlled AI, or No AI—is decided during the Quick Assessment based on your framework.
What signs indicate that the testing pyramid is not working?
Critical defects detected in acceptance or production that should have been filtered in unit or integration testing. Regression cycles that grow sprint after sprint without reducing the escape rate. High percentage coverage reports alongside high defect rates in production. Manual acceptance consuming more team capacity than all other levels combined. Inability to respond to an audit with case-to-requirement traceability per layer. If you recognize two or more of these, the pyramid exists but is not governed.
How long does the Quick Assessment last and what does it deliver?
The Quick Assessment lasts 5 business days from the initial alignment session. We deliver a defect leakage map per level, potential ROI versus current COPQ, gaps per layer against Omniatest®, and a 90-day plan with measurable quick wins per level. It is free and carries no further commitment; it exists so that your team and ours can make decisions based on data per layer, rather than general estimates about the pyramid.
Let’s talk about your challenges in Testing Levels
The 5-business-day Assessment maps your current level of flakiness, projected TCO, and potential ROI, providing a concrete deliverable to present to management.