Tale

About the project

Tale is an AI automation platform designed for regulated industries like banks, law firms, and hotels in the DACH region. Unlike traditional automation tools that keep humans at the center or AI code assistants that are too complex for non-developers, Tale puts AI in the driver's seat while humans act as supervisors. The platform enables AI to autonomously build, test, observe, and self-optimize workflow automations — all through a human-friendly review layer that makes it easy for anyone, not just developers, to understand and approve AI actions. Built in Switzerland with a focus on security and privacy, Tale is specifically designed for organizations that require private, secure AI automations in highly regulated environments. Every automation is fully traceable and auditable, ensuring compliance with strict industry standards while delivering the productivity benefits of AI-driven development without the reliability and accuracy risks that come with traditional AI coding tools.

Project goals

• •Enable AI to autonomously build, test, and optimize workflow automations while maintaining human oversight and control.
• •Create a human-friendly review layer that allows non-developers to easily understand and approve AI actions.
• •Build comprehensive platform infrastructure to control all automation processes from A to Z.
• •Deliver secure, private AI solutions specifically designed for regulated industries in the DACH region (banks, law firms, hotels).

Achievements

• •Successfully completed MVP for AI-driven workflow automation platform targeting regulated industries in Switzerland.
• •Built comprehensive platform infrastructure enabling full control over automation processes from creation to deployment.
• •Developed intuitive review interfaces that make AI actions transparent and understandable for non-technical users.
• •Created secure, private deployment architecture meeting requirements for banks, law firms, and hotels in highly regulated environments.

Challenges encountered

Building an AI automation platform required solving the fundamental tension between AI autonomy and human control. Traditional automation tools require too much manual work, while AI code assistants generate code that's difficult to review and debug at scale. The challenge was creating a system where AI could drive the entire development process while keeping humans in meaningful supervisory roles. Additionally, working with regulated industries meant meeting strict security, privacy, and compliance requirements while maintaining the platform's ease of use for non-technical users.

Solutions

We designed Tale around the principle that AI should be the developer and humans should be the supervisors. This meant building a comprehensive platform with full control over the entire automation lifecycle — from AI-generated code to testing, observation, and self-optimization. We created specialized review interfaces that translate complex AI actions into human-understandable terms, allowing stakeholders to approve or reject automations without needing technical expertise. The platform architecture prioritizes security and privacy, with deployment options suitable for Switzerland's strict regulatory landscape. Throughout development, we maintained focus on the unique needs of regulated industries, ensuring every feature supported both autonomy and accountability.