SuperAPI AI Directory

Double a framework ai driven innovation

A framework to navigate and harness AI, blending AI, Agile, and Design Thinking.

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About this tool

The Double A framework is a process framework for guiding and leveraging AI, developed by the digital services studio Humblebee in Gothenburg, Sweden. The framework's name "Double A" stands for AI and Agile, and it also draws inspiration from Design Thinking. It is designed to help companies create new AI-enabled products, services, or processes in a structured and simple way, or use AI to enhance existing products, services, or processes.

[Purpose] The framework is designed for companies that seek to leverage AI to support new products, services, or processes (or enhance existing products, services, or processes) but do not know where to start. It helps users navigate technical uncertainty and unlock new services rooted in business value.

[Main capabilities]

  • Provide a structured process and step-by-step guidance for executing AI projects.
  • Help users quickly create, build, and launch AI-enabled solutions.
  • Ensure that solutions remain relevant and adaptable to market changes.
  • Simplify the complexity of AI projects.
  • Ultimately produce a runnable AI-enabled product, service, or automated process.
  • Foster a culture of continuous improvement and learning.

[How to use] Users can register to obtain the AI Thinking playbook and the The Double A framework guide. The AI Thinking playbook provides an overall overview of the framework and briefly explains the main stages of the process. The guide provides a detailed step-by-step explanation of the framework process and mentions the recommended techniques, supporting materials, and tools for each step. In addition, registration also includes a 15-minute Zoom consultation to discuss the framework in depth with an expert and help understand how to apply the framework within a company.

[Applicable scenarios] It is suitable for enterprises and teams that want to use AI to drive business innovation, create new products or services, and optimize processes. It is especially suitable for organizations that feel uncertain about AI projects and need a clear starting point and structured approach.

[Limitations] Details such as pricing, specific charging models, supported languages, and technology stack requirements are not yet provided in the official materials. The framework uses the CC BY-ND 4.0 license, which may impose certain restrictions on modification and distribution.