How InnoGames integrates AI to enhance efficiency across departments
In conversation with Thomas Lehr, Head of Software Development at InnoGames
57+
AI agent usages/month
157+
linked users via SSO
10M+
monthly GPT-4 tokens utilized
Game Development and Publishing
Berlin, Germany
350+
We encourage employees from various departments to integrate AI effectively into their workflows. TypingMind serves as a central hub for interacting with predefined AI chatbots, providing access to different LLMs through a single, intuitive UI.
About InnoGames
With a rich portfolio of successful titles such as Forge of Empires, Tribal Wars, and Rise of Cultures, InnoGames connects millions of players worldwide, delivering memorable gaming moments through high-quality experiences.
In this article, we explore how InnoGames has leveraged TypingMind's AI agent platform to boost productivity and streamline internal workflows.
Use cases for TypingMind
InnoGames' use of TypingMind is both strategic and multifaceted. By integrating TypingMind into their workflows, InnoGames aims to enhance efficiency and innovation across various departments:
- Central Hub for AI Interaction: TypingMind serves as a central platform, providing employees with access to predefined AI chatbots and different Large Language Models (LLMs) through a single, intuitive UI.
- Specialized AI Agents: Custom AI characters such as the "Pro Coder" assist engineers with coding suggestions and code refactoring.
- Web Search Plugin Integration: Enables quick, source-referenced Internet research directly within the platform.
Our engineers frequently utilize the "Pro Coder" character to receive targeted coding suggestions and assist with code refactoring. The integration of the Web Search Plugin allows for quick, source-referenced Internet research directly within the platform.
Key metrics
The integration of TypingMind with Single Sign-On (SSO) at InnoGames has resulted in significant uptake among employees. The reduced entry barrier has encouraged widespread use of the comprehensive AI chatbot within the company.
InnoGames now has 157 active users utilizing AI in their workflow, saving hours per week and utilizing over 10+ millions GPT-4 tokens per month. This metric showcases the tremendous impact TypingMind has had on driving AI adoption and streamlining processes at InnoGames.
TypingMind has impressed us with its intuitive use and easy configuration; it quickly connects to various LLMs and enables rapid creation and deployment of custom AI characters throughout the company. The continuous updates and new features keep the tool evolving, benefiting our team without the need for in-house developments.
TypingMind stands out by not only supporting experimentation with training data and documents but also simplifying basic Retrieval-Augmentation Generation (RAG) use cases. The efficient support from the TypingMind team ensures prompt resolutions to any queries or issues, enhancing user experience and satisfaction.
Evaluating TypingMind against other solutions
Prior to implementing TypingMind , InnoGames utilized custom-made AI chatbots integrated with Slack. While these are still in use, TypingMind was introduced as a more adaptable and versatile option. Thomas Lehr highlights the factors that led to choosing TypingMind:
The decision to adopt TypingMind was influenced by the positive feedback during an internal trial period. Key reasons for selecting TypingMind over other options were its great UI/UX and intuitive usage. Also, the efficiency in organizing and managing chat sessions was a big plus.
Conclusion and future outlook
InnoGames values the continuous development efforts at TypingMind and appreciates the recent introduction of server-side plugins, which allow for secure plugin use without exposing API access tokens. They have a few suggestions for future improvements:
- Expand 'native' access to other services and LLMs, such as Groq with Llama 3, or implement a 'proxy' managed by TypingMind that routes queries to a broad selection of popular LLMs.
- Implement functionality that allows concurrent prompts to be sent to multiple AI bots, with some form of aggregation to determine the optimal result.
- Develop independently working self-prompting agents to potentially solve more complex tasks autonomously.
By integrating TypingMind, InnoGames has greatly enhanced their operational efficiency, driven AI adoption, and continued to deliver top-notch gaming experiences. TMC remains a vital component in their toolkit, supporting innovation and excellence in game development.
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