SERVICES
Better software.
More trustworthy AI.
AI Testing & Assurance
Benchmark the AI you deploy and make the software you build more reliable. Tescom brings proven quality engineering discipline to Generative AI assurance and AI-assisted software testing.
TWO COMPLIMENTARY CAPABILITIES
AI assurance & AI-enabled quality engineering
Whether you are deploying an AI-powered product or modernising a conventional testing process, TESCOM helps you understand risk and improve release confidence.
SERVICE 01
AI Benchmark Testing
Test the AI itself: Evaluate Generative AI and LLM-based applications across accuracy, content safety, sensitive information leakage, adversarial robustness, and fairness using structured test datasets and measurable results.
SERVICE 02
AI-Assisted Software Testing
Use AI to improve testing: Accelerate functional, performance, and security testing with AI-assisted test design, script generation, intelligent analysis, and expert review—all within proven quality engineering practices.
SERVICE 01 - AI BENCHMARKING TESTING
Measure AI quality. Identify risks. Build trust.
Our AI Benchmark Testing service helps organisations systematically evaluate Generative AI and LLM applications using relevant evaluation datasets, clearly defined criteria, repeatable methods, and evidence-based findings.
Hallucination & Accuracy
Assess factual correctness, answer relevance, consistency, and whether outputs are supported by source information.
Content Safety
Evaluate how applications respond to harmful, inappropriate, or policy-violating content across defined scenarios.
Data Leakage
Evaluate safeguards against unauthorised disclosure of confidential, sensitive, or restricted information.
Adversarial Robustness
Test whether AI safeguards remain effective against controlled adversarial prompting in authorised environments.
Bias & Fairness
Identify potentially unfair or inconsistent outputs across representative user scenarios and relevant groups.
Risk-focused, evidence-based decisions
Combine measurement and contextual analysis to support model selection, release readiness, remediation, and ongoing monitoring.
OUR METHODOLOGY
From evaluation design to actionable insight.
Repeatable assessments aligned to the business context, the deployed AI system, and the risks that matter most.
Assess & plan
Define use cases, AI risks, acceptance criteria, evaluation metrics, and scope.
Design benchmarks
Select reference datasets and develop application-specific test scenarios.
Execute & review
Run structured evaluations and validate material findings with human experts.
Report & improve
Present evidence, identify gaps, prioritise recommendations, and guide retesting.
WHAT YOU RECEIVE
Clear findings for confident decisions
Our deliverables make benchmark results understandable to technical teams, product owners, and leadership.
- Benchmark assessment report
- Evaluation metrics & test evidence
- Comparative analysis, if applicable
- AI quality & risk scorecard
- Prioritised risk finding
- Improvement & retesting guidance
Assessments reflect the agreed system version, test data, evaluation criteria, and scope; a benchmark result is not a guarantee that an AI application is free of all risks.
SERVICE 02 - AI-ASSISTED SOFTWARE TESTING
Smarter testing. Faster feedback. Confident releases.
Tescom combines established quality engineering practices with AI-assisted techniques to enhance test preparation, analysis, and delivery across functional, performance, and security testing.
AI-Assisted Functional Testing
Accelerate test design, automated script development, and regression analysis for web, mobile, enterprise, and API applications.
- User story and requirement analysis.
- AI-assisted test scenarios and test cases.
- Playwright automation script development.
- Coverage and requirements traceability.
- Test maintenance and failure analysis.
- Agile and CI/CD workflow integration.
Business value: Faster test preparation, improved traceability, and less repetitive engineering effort.
AI-Assisted Performance Testing
Enhance workload modelling, test script preparation, performance data analysis, and bottleneck investigation.
- Performance requirement assessment.
- Workload model and scenario design.
- AI-assisted scripting and optimisation.
- JMeter, k6, and LoadRunner workflows.
- Anomaly and performance trend analysis.
- Bottleneck investigation and reporting.
Business value: More efficient test design, accelerated analysis, and earlier performance insight.
AI-Assisted Security Testing
Support security specialists with AI-assisted threat analysis, test prioritisation, and expert-validated findings.
- Threat and attack-surface analysis.
- Security scenario design and prioritisation.
- Vulnerability assessment workflow support.
- Code and configuration review assistance.
- Findings correlation and risk assessment.
- Expert validation and remediation guidance.
Business value: More focused assessments, streamlined analysis, and actionable risk reporting.
CONNECTED TO TESCOM's ESTABLISHED SERVICES
Built on a strong software quality foundation.
Our new AI offerings complement our core testing capabilities. Explore existing TESCOM services to see how AI-assisted approaches can fit into your current delivery model.
Functional Testing
SIT, system testing, UAT, and test management backed by expert QA practices.
Test Automation
Maintainable automated test suites with Playwright and other established frameworks.
Performance Testing
Load, stress, endurance, and scalability assessment with measurable outcomes.
Cybersecurity Testing
Structured vulnerability assessments, penetration testing, and security assurance.
FREQUENTLY ASKED QUESTIONS
Questions about AI Testing?
AI Benchmark Testing measures AI application behaviour and quality, including accuracy, safety, information leakage, robustness, and fairness. Software performance testing measures response times, throughput, stability, and system behaviour under load.
Yes. AI-generated test cases, scripts, analysis, and security findings should be checked for correctness, suitability, and traceability by qualified testing professionals.
Where access, scope, and comparable datasets permit, benchmark assessments can be designed to compare different models or application versions using consistent criteria.
No. The assessment provides evidence for the defined scope, test dataset, and system version. It does not constitute a guarantee or a claim of AI TAP accreditation.