RiskPlus: AI-Driven Product Development

RiskPlus is a B2B SaaS platform that helps German water utility companies comply with government regulations for water safety risk management. As Product Manager at Disy Informationssysteme GmbH, I led this product from inception to seven figures in revenue within the first year.

The Challenge

After launching successfully with a team of three full-time developers, we faced a critical decision point when development resources were reallocated. Rather than letting the product stagnate, I proposed and executed an innovative solution: rebuilding the entire platform as a solo developer using AI-assisted development.

AI-Powered Transformation

In just 8 weeks, I completely rebuilt RiskPlus from the ground up using AI pair programming, achieving:

• Cost Savings: Six figures in development costs saved
• Velocity: Shipping features faster than the original 3-person team
• Quality: Maintained production-grade code quality with comprehensive stakeholder validation

Key Features Delivered

Interactive catchment area management with geospatial data visualization

The platform enables water utilities to:

• Map and manage water catchment areas with PostGIS-powered geospatial features
• Conduct comprehensive risk analyses following regulatory requirements
• Document and track hazards
• Generate compliance reports for regulatory authorities

Comprehensive risk analysis workflow with regulatory compliance tracking

Technical Implementation

The rebuilt architecture leverages:

• Backend: Python/Flask with SQLAlchemy ORM
• Frontend: Svelte 5 for reactive UI components
• Database: PostgreSQL with PostGIS for spatial data
• Maps: OpenLayers for interactive geospatial visualization
• Deployment: Docker-based containerization with CI/CD pipelines

Hazard identification and management interface

Product Management Excellence

Beyond the technical rebuild, I maintained full product management responsibilities:

• Stakeholder Management: Regular coordination with TZW (technical water utility partner) and C-suite
• Customer Success: Weekly webinars and demos, maintaining high customer satisfaction
• Strategic Planning: Clear product roadmap aligned with regulatory requirements
• Go-to-Market: Pricing strategy and sales support that drove 7-figure revenue

Impact

This project demonstrates the transformative potential of AI in software development when combined with deep domain knowledge and product management expertise. By embracing AI as a development partner, I turned a potential product crisis into a case study for innovation, delivering more value with fewer resources while maintaining quality and customer trust.