Autonomous regression testing for Telecom
Autonomous regression testing for telecom. Operators handle millions of subscriber interactions across Azerbaijani and Russian, under service-quality SLAs.
Autonomous Regression Testing for Telecom Operators
Telecom operators manage millions of subscriber interactions across Azerbaijani and Russian languages while adhering to strict service-quality SLAs. To maintain these standards, Allmaz provides an autonomous regression testing solution designed to handle the complexity of high-volume contact centers and the pressure of subscriber retention. By leveraging AI computer-use agents, the platform ensures that enterprise web applications remain stable and performant, preventing critical regressions from reaching the end subscriber. As one of the three core engines of the Argus self-hosted platform, this solution integrates seamlessly with QA, AI, and pentest engines through a unified configuration for models, credentials, and cost accounting. It moves beyond traditional testing by utilizing versioned YAML objectives rather than fragile selectors, allowing the system to reason through complex workflows and identify product defects independently. This approach enables operators to scale their quality assurance without the overhead of constant script maintenance.
Solving Telecom Quality Assurance Challenges
Maintain service-quality SLAs through autonomous regression testing of complex subscriber portals and internal tools.
Reduce churn and retention pressure by identifying product defects before they impact the subscriber experience.
Execute complex multi-role workflows where creator, approver, and supplier roles operate in fresh, independently authenticated sessions.
Eliminate maintenance overhead by using reasoning-based agents instead of fragile coordinates or CSS selectors.
Control operational expenditure via a two-tier model execution strategy and granular, aggregated cost accounting.
Ensure total data sovereignty and security through a self-hosted deployment with no external SaaS dependencies.
Enterprise-Grade Testing Capabilities
AI Computer-Use Agents
Agents observe screenshots and state their reasoning to take actions based on YAML objectives, moving away from coordinate-based testing.
Multi-Role Workflow Support
Simulate complex telecom operations where different roles run in fresh, independently authenticated browser sessions.
Deterministic Security
Logins are performed by scripts using an encrypted secret store, ensuring agents never handle raw credentials.
Independent Verification
Assertions are checked by an independent verifier rather than the agent performing the work to ensure objective results.
Model-Agnostic Architecture
Switch models via database configuration without redeploying code, with live probing of provider capabilities.
Collision-Free Parallelism
Run-scoped test data naming allows multiple agents to operate in a shared environment without colliding.
The Autonomous Testing Process
Frequently Asked Questions
Does this replace existing tools like Playwright?
No, it complements them. Use deterministic scripts for stable flows and AI agents for long, multi-role, or frequently changing scenarios.
How is the AI's authority handled regarding bug reporting?
The AI never asserts a defect on its own authority; it flags suspected bugs with a report that a human must review and file.
How is the cost of AI model usage managed?
Every model call is metered, and costs are aggregated from the call level up to the scenario, suite, and release.
Is the solution cloud-based?
The solution is self-hosted using ten containers and a shared artifact volume, removing external SaaS dependencies.
How does the system handle model updates and compatibility?
Model selection is managed in the database and read per run, requiring no redeployment. The system probes provider endpoints live to verify vision support and coordinate grounding.
Stabilize Your Subscriber Experience
Deploy autonomous regression testing to protect your SLAs and reduce churn. Contact Allmaz to learn more about our self-hosted AI testing platform.
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