WiP
This stage focuses on defining the AI-powered startup’s direction. It involves identifying business objectives, AI use cases, and assessing your organization's readiness for AI integration. Setting clear data strategies, identifying talent gaps, and ensuring ethical AI practices are key to laying a solid foundation.
Designing and architecting your AI system involves building a scalable structure for your software. This phase includes drafting product roadmaps, setting up APIs, and configuring systems that ensure seamless integration of AI technology into your product.
During development, focus on building AI models and features iteratively. Agile sprint planning, rigorous testing, and continuous integration ensure that your product evolves with user needs, while monitoring models helps maintain AI performance.
This phase includes preparing for deployment by addressing risk management, post-launch monitoring, and gathering user feedback. AI-powered customer onboarding and decision-making help optimize early adoption and improve AI capabilities over time.
Once the product is live, maintaining and improving AI models is critical. This involves gathering feedback, monitoring KPIs, and implementing maintenance strategies to ensure the software remains efficient, relevant, and adaptable.
The final phase focuses on scaling the business and its AI capabilities. Growing the customer base, improving retention, and expanding AI capabilities allow the business to mature and optimize processes for sustained success.
Initial Planning & Strategy
Product & Technical Design
Development & Testing
Launch & Deployment
Post-Launch & Monitoring
Scaling & Growth