Each update requires rerunning large volumes of manual tests Manual Testing Is Time-Consuming and Hard to Maintain Regression testing cycles often take several days Repetitive manual operations lead to fatigue and misjudgments Test records are scattered and hard to track/manage A change in requirements forces complete test flow rewrites
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Minor UI changes cause entire script batches to fail Test Scripts Are Fragile—Updates Break Everything Object recognition fails due to slight UI adjustments Heavy maintenance depends on project manpower Technical scripts are understood by only a few The longer the project, the harder it is to resolve technical debt
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Testing across SAP, Web, and Mobile is extremely labor-intensive End-to-End Cross-System Testing Is Hard to Cover Integrating multiple tools is costly and fragmented Testing flows separately misses real risks Cross-team collaboration incurs high communication costs Regression testing is often shortened or skipped
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Each test cycle starts with searching for data and creating accounts Test Data Preparation Is Slow and Inconsistent Manual test data creation is inefficient Scenario data is hard to reproduce and share Data versions differ across environments Data masking and compliance for sensitive data is difficult
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Coders don’t test, testers don’t code Technical Barriers and Communication Gaps in Testing Teams Automation knowledge is limited to a few engineers Requirements and QA teams speak different languages Manual testers struggle to transition into automation Testing knowledge is hard to standardize and replicate
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Biweekly sprints, but testing remains in waterfall mode Hard to Keep Pace with Agile/DevOps Delivery Testing often becomes the biggest bottleneck before release CI/CD pipelines lack automated testing safeguards Risk assessment relies heavily on personal judgment Daily or nightly fast regression is hard to achieve
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Mobile Reimbursement and Expense Management Overview Table
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  Module Feature Highlights Immediate Benefits Agentic AI Autonomous Test Assistant Create, adjust, and analyze test cases using natural language—like having an AI teammate Lower scripting barriers, accelerate test design and maintenance, shorten automation onboarding. Vision AI Visual Object Recognition Recognize screen elements visually without relying on underlying code or tech stack Resilient to UI changes, significantly reduces maintenance costs from frontend updates. Model-Based Test Automation Maintain tests by business process models, not scripts—one change updates all Maintain up to 90% automation rate across releases while minimizing maintenance time Risk-Based Test Optimization Automatically select key test sets based on business risk and usage frequency Achieve over 80% risk coverage within limited time—focus on what matters most API Testing & Virtualization Use unified model interface for API testing and simulation—connect frontend, backend, and third-party systems Start testing before full system readiness—reduce aiting and dependencies, accelerate project timeline Test Data Management (TDM) & Cloud Execution Auto-generate or import production data, support large-scale parallel execution on cloud Shorten data prep time, reduce infrastructure cost, rapidly scale testing capacity
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Business Benefits
"See the Change Immediately"
%Significant Reduction in Testing Time
%Increased Automation Coverage
%Improved Business Risk Coverage
%Shortened Test Data Preparation Time
Tens to Thousands of Testing Hours Saved Effective Reduction in Labor Costs
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Embed automated testing into build, deploy, and release processes Tosca integrates seamlessly with Jenkins, TeamCity, and Azure DevOps Trigger and receive test results via API Automatically log failed cases to Jira and other tracking systems Support short feedback loops and flexible deployment strategies Provide quality trend and risk dashboards via reports
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One tool for end-to-end process testing and integration Covers Web, Mobile, Desktop, API, Database, and major ERP/CRM systems Built-in accelerators for SAP, Salesforce, Oracle, etc. One model supports multiple tech stacks simultaneously Minimal module maintenance required during version updates Reduce tool sprawl and management overhead
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Flexibly support cloud, on-premises, and hybrid deployment models Combine Agentic AI, Vision AI, and cloud execution engine Create test scripts and interpret results using natural language Cloud platform execution unaffected by loop testing Integrate TDM for consistent and compliant test data Reduce maintenance and cost of self-built test environments
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CONCLUSION Turn testing from a cost into a competitive advantage
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