Providing Confidence for Safe, On-Time Release of an In-Game, AI-Powered NPC

To revolutionize player interaction, the studio set out to launch an AI-powered non-player character (NPC) capable of dynamic, natural-language conversations. But the unpredictable behavior of large language models introduced safety risks - threatening player trust and brand reputation.

The system was complex: multiple LLMs orchestrated through system prompts, LLM-based judges, and real-time content filters. It had to support multi-turn conversations across four languages, in multiple modalities - all while staying in character. The studio’s communication policy further raised the bar, requiring every NPC interaction to be contextually appropriate and narratively aligned.

Balancing creativity with control, the team needed to rigorously pressure-test the system pre-launch - to ensure safety, maintain narrative integrity, and protect the brand.

To mitigate safety risks before launch, the studio partnered with Alice to deploy our AI Red Teaming solution: a purpose-built approach to stress-test GenAI systems, implementing a hybrid strategy -

Automated adversarial testing generated thousands of prompts across languages, modalities, and gameplay scenarios to uncover policy violations, misalignments, and edge-case failures.

Manual, intelligence-led red teaming followed, with subject-matter experts investigating nuanced failure modes, narrative inconsistencies, and safety blind spots.

The approach was tailored to the client’s unique architecture and communication policy, testing how the NPC performed under real-world conversational pressure while staying in character. Our findings revealed vulnerabilities in critical areas such as self-harm, child safety, illegal activity, prompt injection, and narrative-breaking responses. Each issue was triaged and translated into actionable, architecture-level recommendations that strengthened system integrity without sacrificing immersion.

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Within just two weeks, Alice’s AI Red Teaming solution delivered the clarity and confidence the studio needed to move forward.

20,000+ policy-violating or misaligned outputs were uncovered across languages, modalities, and gameplay scenarios.

Multiple architecture-level improvements were implemented, directly informed by our findings.

Product, legal, and executive teams gained shared confidence in the system’s readiness.

The red teaming exercises not only uncovered high-impact risks, but also delivered a clear, data-driven path to remediation. As a result, the studio reinforced its safety posture while preserving the immersive, in-character experience critical to gameplay.

By implementing Alice’s AI Red Teaming solution WonderBuild, the client gained deep insight into model vulnerabilities and used that intelligence to harden its system before deployment.