Turn Fragmented Systems Into an AI-Driven Enterprise Ecosystem.
Talk to an Expert70%
Quality Improvement
60%
Regression Cost Reduction
40%
Performance Optimization
60%
Effort Optimization
AI holds immense potential to transform enterprises but realizing that potential requires seamless integration across diverse applications and data ecosystems. With the right expertise and disciplined execution, AI can scale effortlessly while enhancing performance and agility.
At Tx, we make this a reality. Our AI-driven solutions are designed to integrate smoothly with your internal systems, enabling high-performing, reliable operations. We understand that the true strength of an AI system lies in the cohesion of all its parts, and each must be rigorously tested, both individually and as a unified whole, to ensure success. Using our proprietary frameworks like NG-TxAutomate and NG-TxHyperAutomate, we validate functionality, non-functional requirements, and security, ensuring every AI component works in harmony within your enterprise ecosystem.
Address potential AI security risks with compliance-first validation and tailored pen testing.
Validate dataflow and AI/ML model behavior for flawless decision-making based on trustworthy results.
Access pre-built test frameworks and automation tools to reduce AI integration timelines.
Leverage backward compatibility testing to ensure seamless AI integration with existing systems.
Ensure business continuity with thorough rollback-safe and pre-launch validation testing of AI systems.
We leverage AI-powered accelerators and automation methods to facilitate AI System SIT execution and optimize efficiency.
Enterprises need AI systems that are highly scalable and resilient to innovation. We assess your AI systems against NFR benchmarks and ensure their high performance under peak loads.
Integrating AI with legacy systems often results in interoperability issues. We perform compatibility testing to ensure seamless adaptation of AI to your existing infrastructure.
At an enterprise level, AI must perform without stress across diverse environments. We check the functionality of your AI systems with scenario-based testing, Total Experience (TX) assessment, and edge case validation.
AI depends on data for decision-making, and incomplete or inconsistent data will directly impact it. We validate data consistency and quality to maintain high-quality of your AI insights.
We conduct pen testing, encryption checks, and compliance validation to ensure your AI systems meet evolving security and regulatory standards.
Stability is critical when executing automated AI workflows at an enterprise level. We test system handshakes, workflow execution, and process integrations for optimal performance of your AI systems.
Data biases and model drift negatively impact AI predictions. We assess your AI/ML models so that they deliver accurate outcomes that are in sync with your enterprise objectives.
Fragmented systems and disconnected AI Pipelines.
Data inconsistencies affecting AI/ML model accuracy.
Legacy systems causing delays in AI adoption.
Unpredictable behavior of AI models in production.
Difficulty in meeting stringent AI security and compliance benchmarks.
Unified integration test plan for smooth orchestration across enterprise ecosystems.
Comprehensive validation of incoming and outgoing data across systems.
Middleware testing for seamless AI integration across legacy infrastructure.
Behavior-driven testing to evaluate AI models' performance in the real world.
Implement an AI-focused security approach to keep systems secure and audit-ready.
Our phased and automation-driven SIT approach ensures AI systems operate optimally within the enterprise environment.
We focus on risk mitigation and performance optimization to accelerate AI system deployment.
Seamlessly uniting AI with your ecosystem through proven expertise in scalable system integration.
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We assist enterprises in integrating AI with the existing tech stack, enabling them to unlock AI’s full potential.
We shorten enterprise-wide AI integration timelines by leveraging intelligent QE methodologies and ensuring high operational resilience.
We ensure systems meet business-specific regulatory demands by conducting risk analysis and regulatory compliance assessments.
We leverage pre-built test assets and AI-powered in-house accelerators (NGAutomate, Tx-SmarTest) to support your integration efforts.
AI-driven System Integration Testing (SIT) automates the validation of interactions between integrated systems, ensuring seamless communication, data consistency, and functional accuracy.
AI-powered integration testing includes data-driven testing, API testing, UI-based integration testing, and predictive analytics-driven testing.
Organizations can use AI-based SIT to accelerate testing cycles, reduce human intervention, and improve accuracy in detecting integration issues. It will enhance test coverage, mitigate risks, and ensure smooth system interoperability.
AI-driven SIT focuses on validating system interactions, data flow, and component compatibility. UAT evaluates the application from an end-user perspective and usability standards.
AI enhances SIT by automating test case generation, identifying defects through predictive analytics, and continuously learning from past results to improve accuracy and efficiency.
You can start by emailing us at [email protected] or visiting our contact page. We offer tailored SIT solutions, drive impactful digital strategies, and help you achieve your goals.
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