LTM accelerates testing transformation with Tricentis agentic AI

As a major Tricentis Tosca implementation partner supporting numerous customers, LTM faced a growing problem. Manual test case creation was eating up time and resources at an unsustainable rate. Every test case—regardless of complexity—required substantial human effort. This created bottlenecks that rippled across project delivery timelines.

The technical challenges ran deep. Manual Excel-based uploads to test management systems like qTest added layers of administrative overhead. Teams struggled to balance quality standards with the pressure to accelerate delivery. And as AI became more prevalent in the testing landscape, LTM recognized a widening gap between their current capabilities and where they needed to be.

Resource allocation constraints made the situation worse. Heavy manual requirements limited how effectively LTM could scale their testing operations across multiple customer projects. Skilled testers spent hours on repetitive tasks instead of higher-value work. The math simply didn’t work.

LTM needed a solution that could dramatically reduce manual effort, integrate seamlessly with their existing tools, and position them for the autonomous testing future. They found it through their partnership with Tricentis.

Challenges:

• Manual test case creation inefficiency – Test cases required substantial human effort across all complexity levels
• Resource allocation constraints – Heavy resource requirements limited scalability across multiple customer projects
• AI readiness gap – As AI became more prevalent in testing, LTM needed solutions that could leverage autonomous capabilities
• Quality vs. speed trade-off – Maintaining quality standards while accelerating test case creation and execution
• Integration complexity – Manual Excel-based uploads to test management systems (qTest) added administrative overhead

Phase 1: Agentic Test Creation rollout

The first phase deployed the AI chatbot for natural language test case generation. LTM tested across three complexity tiers—low, medium, and high—creating 10 to 12 total test cases for comprehensive evaluation.

Multiple testers used identical test cases to evaluate output consistency. This cross-tester validation revealed how reliably the system performed across different users and interaction styles. The team configured automatic integration with qTest, eliminating the manual upload process that had slowed previous workflows.

Prompt optimization became a key focus. Through iterative learning, testers refined their natural language inputs to generate better outputs. Each interaction improved the system’s accuracy and reduced the need for post-generation edits.

Agentic Test Creation transformed how LTM builds test cases, reducing manual effort dramatically:

• Low complexity test cases dropped from 30 minutes to 10 minutes—a 67% reduction
• High complexity test cases fell from 2 hours to 20-30 minutes—up to 83% time savings

The automatic integration with Tricentis qTest eliminated manual Excel uploads entirely. Test cases now flow directly into the test management library, removing administrative overhead and reducing errors. The system is self-improving: execution time decreases with each subsequent run, reducing processing overhead without additional investment.

Phase 2: Agentic Test Automation deployment

Phase 2 activated the autonomous processing mode within Tricentis Tosca. The team deployed in a staging environment using SAP GUI and selected three test scenarios of varying complexity. Each scenario tested different aspects of the agent’s autonomous capabilities. The system demonstrated its ability to handle increasingly complex workflows without human intervention.

Agentic Test Automation delivered consistent improvements across all three pilot scenarios:

• GL account description change (low complexity) – A straightforward finance process that established baseline performance
• Document posting (medium complexity) – A documentation workflow requiring multiple validation steps
• Purchase order creation (high complexity) – A BTP process involving navigation across numerous screens and sub-screens

The most complex scenario, purchase order creation, showed the greatest efficiency gains in test execution timelines, suggesting that Agentic Test Automation delivers increasing value as workflow complexity rises.

The pilot strengthened LTM’s market position and operational capabilities:

• Enhanced value proposition. LTM can now offer joint customers with Tricentis a more compelling testing solution. The validated results provide proof points for sales conversations and customer success discussions.
• Competitive differentiation. As an AI-forward implementation partner, LTM stands apart from competitors still relying on traditional approaches. This positions the company as a true “Business Creativity Partner” rather than a conventional services provider.
• Scalability across the enterprise. The solutions work across different geographies, teams, and systems. What succeeded in the pilot can extend to LTM’s global operations without fundamental redesign.
• Resource optimization. Freed from repetitive test case creation, skilled team members can focus on higher-value activities—complex test design, strategic planning, and customer consultation.

The LTM team sees the pilot as a foundation for broader transformation.

“We’re excited to roll this out more broadly. It will shrink project timelines greatly across multiple projects spanning different geographies, teams, and systems,” says Nisarg Pandya, Test Lead, LTM.

With support from the Tricentis team, implementation was rapid and adoption on Pandya’s team grew quickly. “The support from the Tricentis team has been excellent; the team has always been available to help and train with best practices and tips on how the system behaves,” says Pandya. This collaborative approach accelerated adoption and ensured LTM’s teams understood not just how to use the tools, but how to maximize their value across different project types.

This enthusiasm reflects confidence in the technology and the partnership. LTM’s commitment to leveraging cutting-edge AI for real-world testing challenges positions them—and their customers—for continued success as the testing landscape evolves.

• Project timeline reduction – Expected to “shrink project timelines greatly” across multiple initiatives
• Scalability – Solution applicable across different geographies, teams, and systems
• Resource optimization – Freed up skilled resources for higher-value activities
• Quality assurance – Maintained quality standards while accelerating delivery