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LLM & Chatbot Testing

Make conversational AI safe, accurate and ready for real-world use.
Be confident in responses

Large language models and chatbots are transforming how organisations engage with customers and manage internal workflows.

But without proper testing, these systems can behave unpredictably, generate incorrect information or introduce significant risk.

KJR has developed specialised frameworks for validating LLMs, chatbots and conversational AI – ensuring their outputs are reliable, fair and aligned to organisational standards.

KJR's Expertise

Drawing on decades of software quality engineering, we test model performance, content safety, behaviour boundaries and integration reliability across varied use-cases.

Whether you’re building an internal knowledge assistant, customer service chatbot or domain-specific LLM application, we ensure your system performs consistently and responsibly.

What we deliver

  • Behaviour, accuracy and consistency testing for LLMs and chatbots
  • Safety and compliance evaluation, including hallucination and harmful output checks
  • User experience, intent recognition and conversation flow testing
  • Integration assurance across data, APIs and business systems
  • Custom prompt-engineering validation and optimisation

Who is this for

Organisations deploying generative AI, customer service centres, government departments, digital product teams and businesses implementing AI-enhanced automation.

Featured case example

Victorian Water Authority

Chatbot Widget Testing

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Prevent Unpredictable AI Responses

Ensure your LLM or chatbot is safe, compliant and performs as expected before deployment.

Speak with KJR’s specialists using this form

or contact your local KJR General Manager.

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