Roadmap

$AUTO Token Launch: Deploy $AUTO token as the foundation of the Auto-AI ecosystem.
Community Onboarding: Build a strong base of users and investors through targeted campaigns.
Initial Ecosystem Access: Enable $AUTO holders to access basic platform functionalities, such as AI-driven analytics and reporting.

AI Workflow Automation: Launch core automated workflow tools, enabling businesses to streamline repetitive processes.
Real-Time Analytics: Roll out advanced real-time data analysis for businesses to make informed decisions instantly.
Platform Integrations: Integrate Auto-AI with major tools like Figma, Salesforce, and other widely used business platforms to enhance utility.
User Feedback Integration: Gather and act on feedback to refine existing features and prioritize upcoming releases.

Cognitive Automation: Introduce intelligent, adaptive AI workflows capable of reasoning and learning over time.
Predictive Maintenance: Deploy predictive maintenance tools to reduce downtime and operational costs for businesses.
AI Customization: Enable users to build tailored AI solutions suited to their unique business needs through drag-and-drop interfaces.
Global Scaling: Expand platform reach with multilingual support and localized features for international adoption.

AI-Powered Ecosystem: Establish Auto-AI as the go-to platform for fully autonomous business operations.
Custom Dashboards: Allow users to create personalized dashboards to track KPIs, workflows, and AI-driven insights.
Enterprise Partnerships: Collaborate with global corporations to integrate Auto-AI into their ecosystems.
Continuous R&D: Invest in cutting-edge AI research to roll out future-ready features, ensuring sustained innovation and leadership in the market.

Last updated 2 months ago

$AUTO Token Launch: Deploy $AUTO token as the foundation of the Auto-AI ecosystem.
Community Onboarding: Build a strong base of users and investors through targeted campaigns.
Initial Ecosystem Access: Enable $AUTO holders to access basic platform functionalities, such as AI-driven analytics and reporting.

AI Workflow Automation: Launch core automated workflow tools, enabling businesses to streamline repetitive processes.
Real-Time Analytics: Roll out advanced real-time data analysis for businesses to make informed decisions instantly.
Platform Integrations: Integrate Auto-AI with major tools like Figma, Salesforce, and other widely used business platforms to enhance utility.
User Feedback Integration: Gather and act on feedback to refine existing features and prioritize upcoming releases.

Cognitive Automation: Introduce intelligent, adaptive AI workflows capable of reasoning and learning over time.
Predictive Maintenance: Deploy predictive maintenance tools to reduce downtime and operational costs for businesses.
AI Customization: Enable users to build tailored AI solutions suited to their unique business needs through drag-and-drop interfaces.
Global Scaling: Expand platform reach with multilingual support and localized features for international adoption.

AI-Powered Ecosystem: Establish Auto-AI as the go-to platform for fully autonomous business operations.
Custom Dashboards: Allow users to create personalized dashboards to track KPIs, workflows, and AI-driven insights.
Enterprise Partnerships: Collaborate with global corporations to integrate Auto-AI into their ecosystems.
Continuous R&D: Invest in cutting-edge AI research to roll out future-ready features, ensuring sustained innovation and leadership in the market.

Last updated 2 months ago