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AI-Powered Stakeholder and Issue Management SaaS Platform

streaver.com

Information technology

Environmental Services

Consulting

Challenges in Stakeholder Management and AI Integration

Organizations struggle with identifying, prioritizing, and monitoring key issues and stakeholders due to fragmented data sources, lack of AI-driven insights, and complex dynamic relationships between stakeholders and issues. Existing solutions fail to provide real-time, transparent, and scalable stakeholder mapping with actionable business intelligence.

About the Client

Swiss SaaS platform providing AI-driven strategic decision-making tools for stakeholder and issue management in the European market

Strategic Platform Development Goals

Develop a scalable SaaS platform with AI-driven issue prioritization from public data sources
Create dynamic stakeholder mapping with weighted relationship visualization
Implement transparent data traceability to build user trust
Establish cloud infrastructure for real-time data processing and geographic expansion
Deliver intuitive UX/UI for simplified stakeholder relationship management

Core System Capabilities

AI-driven issue identification with revenue impact and influenceability visualization
Dynamic stakeholder mapping with weighted relevance scoring
Interactive dashboards for actionable insights
Real-time data scraping from public sources with timestamped traceability
Modular architecture supporting chatbot integration and geographic expansion

Technology Stack Requirements

Cloud-native architecture (AWS/Azure)

AI/ML frameworks for data classification

Real-time data processing pipelines

Graph database for relationship mapping

Microservices architecture

External System Connections

Government portals (e.g., parlament.ch)
Academic institution databases
NGO public datasets
Media outlets APIs
Compliance verification systems

System Performance Criteria

Horizontal scalability for 10x user growth
Real-time data updates within 5-minute SLA
99.9% system availability
GDPR-compliant data handling
Modular codebase for rapid feature deployment

Expected Business Transformation

Enables organizations to reduce strategic decision-making time by 40% through AI-powered insights, increases stakeholder engagement transparency with verifiable data sources, and establishes foundation for expanding into 5+ European markets within 18 months. The platform's modular architecture will support 200+ concurrent enterprise clients with real-time analytics capabilities.