Industry
Client Overview
A publicly-traded global game publisher with multiple blockbuster franchises. For their highly anticipated open-world sequel, they faced a massive challenge: ensuring stability and performance across a vast, dynamic world filled with complex systems. Their manual QA team was overwhelmed, and the release date was at risk.
Client Testimonial
"The AI QA agents from CISIN were a game-changer. They ran 24/7, covering more ground in a week than our manual team could in a month. The bug reports were detailed, reproducible, and allowed us to fix critical issues we never would have found otherwise. CISIN didn't just save our launch; they helped us deliver a better game." - Head of QA, Anonymous AAA Publisher
Problem
The game's sheer scale and the emergent nature of its AI systems created an astronomical number of potential failure points. Manual testing was slow, expensive, and couldn't effectively test the complex interactions between AI NPCs, physics, and player actions.
Key Challenges
-
01
Massive Test Matrix: An enormous open world with thousands of quests and dynamic events.
-
02
Emergent Bugs: Unpredictable bugs arising from interactions between complex AI systems.
-
03
Performance Bottlenecks: Difficulty identifying performance drops across different hardware configurations.
-
04
Looming Deadline: The risk of a costly delay to a major holiday release window.
Our Solution
We deployed a dedicated "Quality-Assurance Automation Pod" to develop and manage a fleet of AI test agents.
AI Agent Development: We created intelligent agents trained to mimic various player archetypes (e.g., "The Explorer," "The Chaos Agent," "The Speed Runner").
Automated Test Execution: These agents were deployed across hundreds of virtual machines, autonomously navigating the world, completing quests, stress-testing combat, and trying to break game systems.
Intelligent Bug Reporting: When an agent encountered a crash, visual glitch, or significant performance drop, it automatically logged a detailed bug report complete with video, logs, and reproduction steps.
Performance Profiling: The agents constantly collected performance data, allowing us to generate heatmaps of the game world that pinpointed areas causing frame drops.
Implementation & Execution
-
Initial Integration (Week 1)
Our team worked with the client's DevOps to integrate our test harness into their daily build pipeline.
-
Agent Training (Weeks 2-3)
We used reinforcement learning to train the agents on basic navigation and interaction.
-
Heuristic Development (Weeks 4-6)
We coded specific heuristics for the agents to test high-value systems like combat, crafting, and main story quests.
-
Full-Scale Deployment (Week 7+)
The AI fleet began 24/7 testing, running through the entire game on every new build.
-
Dashboard Creation
We provided a real-time web dashboard for their QA leads to view testing progress, bug reports, and performance analytics.
-
Weekly Syncs
Our Delivery Manager held weekly meetings with their Head of QA to review findings and prioritize the next testing sprint.
Positive Outcome
1. 60% Reduction in QA Cycle Time
Automated testing of a full game build was reduced from one week (manual) to just 48 hours.
2. 10,000+ Unique Bugs Found
The AI agents identified over 10,000 bugs, including 250+ critical, crash-inducing issues.
3. On-Time, Stable Launch
The game launched on schedule with significantly higher stability and performance than previous titles, resulting in positive reviews.
4. 40% Reduction in QA Costs
The client was able to reduce their reliance on seasonal manual QA contractors, leading to significant cost savings.
Why Choose Us
-
Deep AI Specialization
We had the AI expertise to build truly intelligent test agents.
-
Verifiable Process Maturity
Our CMMI L5 process ensured reliable and documented results.
-
Flexible Engagement PODs
The dedicated QA pod integrated seamlessly.
-
World-Class In-House Talent
Our expert engineers built the solution from scratch.
-
Accelerated Time-to-Market
We were the key to them hitting their launch date.
-
Full IP & Data Ownership
They owned the test agents and all data.
-
Risk-Free Trial
The initial 2-week trial proved our capability.
-
Global Delivery, Local Support
Constant communication and support.
-
Proven Track Record
Our history with enterprise clients gave them confidence.
Conclusion
By shifting from a purely manual QA process to an AI-augmented model with CISIN, the client was able to de-risk their launch, improve product quality, and achieve significant efficiencies, setting a new standard for their internal QA processes.