Software Architecture Consulting for Adalan AI

Adalan AI needed early technical direction for a SaaS platform around AI risk assessment. I advised on architecture design, technology selection, and product strategy for a growing AI startup.

Emphasis on scalable architecture with React/TypeScript, AWS infrastructure, and MongoDB for flexible data structures. Product strategy and UI/UX advisory for a better user experience in AI risk assessment.

• Technical Advisory: Architecture design, technology selection, scalability planning
• Product Strategy: UI/UX design, user experience, feature planning
• Startup Consulting: Developer hiring, outsourcing strategies, budget planning
• AWS Architecture: Lambda, RDS, SNS, API Gateway, CloudWatch integration
• Development Setup: React/TypeScript, MongoDB, Auth0, Tailwind CSS
• Engineering practice: Code quality, test strategy, deployment paths, and maintainable team capability
• LLM-assisted work: used ChatGPT early for research, architecture sparring, and copy, as far as the models of that time were already dependable for it

• Decision-oriented advisory: Break architecture, technology selection, and product strategy down into concrete next steps
• Software engineering focus: Clarify system boundaries, developer profiles, test strategy, and maintainability early
• Product strategy: Check UI/UX, user experience, and feature scope against the core AI risk assessment value
• Startup guidance: Make hiring, budget, and scaling options visible as investment decisions
• Technical foundation: Recommend a SaaS architecture that can support AI-risk workflows without overloading the early product with complexity