Engineering Trust Across Every Stage of Development

Modern businesses need software quality embedded across every stage of development. Tech Mahindra’s Autonomous Quality Fabric (AQF) transforms legacy testing into an AI-powered, agent-driven quality engineering model. Generative and agentic AI support test design, execution, and defect detection end-to-end, keeping humans in control of key decisions.

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Modern businesses need software quality embedded across every stage of development. Tech Mahindra’s Autonomous Quality Fabric (AQF) transforms legacy testing into an AI-powered, agent-driven quality engineering model. Generative and agentic AI support test design, execution, and defect detection end-to-end, keeping humans in control of key decisions.

Powered by AppGinieZ and LitmusT, AQF delivers faster releases, broader coverage, lower maintenance, and continuous assurance.

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Solution Highlights

Agentic QE Agents

Specialized agents support requirement analysis, test case generation, automation scripting, self-healing execution, defect root-cause analysis, release readiness, and continuous assurance.

Lifecycle Orchestration

Quality activities are coordinated end-to-end instead of being executed as disconnected tasks across teams, tools, and environments.

AI-Native Intelligence

Generative, predictive, and agentic AI are applied to create scenarios, identify risks, prioritize tests, analyze failures, and improve future coverage.

Flexible AI Foundation

The solution can work with leading commercial or customer-hosted language models.

Enterprise Toolchain Integration

The fabric connects with existing test management and automation tools, repositories, CI/CD pipelines, APIs, observability platforms, and reporting systems.

Human-in-the-Loop Control

AI agents act transparently, flag uncertainty, and defer to qualified experts for judgment-led decisions, risk governance, and approvals.

AppGinieZ™ and LitmusT Engine

AppGinieZ™ powers agentic quality workflows while LitmusT strengthens intelligent automation, visual validation, performance assurance, test data and environment management, and zero-touch execution.

Agentic Systems Assurance

The framework validates autonomous systems for goals, reasoning, tool use, safety, security, resilience, monitoring, and governance.

Solution Benefits

  • Faster releases that keep pace with business demand
  • Lower testing effort and cost across teams
  • Stronger production stability with fewer defects
  • Broader test coverage across applications, reducing risk
  • Reduced automation maintenance, so gains hold up over time
  • Safer, governed AI adoption for compliance needs

Industry Use Cases

BFSI Release Assurance

Accelerate regression, API, data, and compliance testing for banking, insurance, and payments platforms while maintaining traceability and release confidence.

Telecom Digital Platforms

Validate customer journeys, billing flows, digital channels, network-facing applications, and integration-heavy programs with faster feedback.

Healthcare Compliance Testing

Support regulated releases across clinical workflows, interoperability, privacy, safety, and digital health platforms.

Manufacturing ERP Modernization

De-risk ERP transformations, integration programs, supply chain workflows, and plant-to-enterprise quality scenarios.

Retail Experience Quality

Assure quality across omnichannel commerce, loyalty and personalization programs, payments, and peak-load customer journeys.

Energy and Utilities Resilience

Improve assurance for field operations, customer portals, asset systems, and critical enterprise workflows.

Why Agentic Quality Fabric

Built for AI-native Delivery

Moves quality from a late-stage checkpoint to a continuous intelligence capability integrated across delivery.

Transparent Autonomy

Acts within clear control boundaries, with explainability, escalation, and human oversight.

Platform-led Execution

Combines AppGinieZ and LitmusT to connect agentic intelligence with enterprise-grade automation.

Assurance Beyond Testing

Extends quality from functional validation to risk, reasoning, safety, observability, and production confidence.

Global QE Expertise

Draws on Tech Mahindra’s Quality Engineering practice, domain knowledge, and enterprise delivery experience.

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