Development of an AI-Driven Stakeholder and Issue Management Platform for Strategic Decision-Making

The client faces difficulties in managing complex stakeholder relationships and issue prioritization due to fragmented data sources, lack of transparency, and manual processes that hinder timely decision-making. Building reliable, traceable, and scalable systems for real-time issue detection and stakeholder mapping presents significant challenges.

A mid-sized consulting firm specializing in strategic analysis and stakeholder engagement across multiple sectors, seeking solutions to map, analyze, and prioritize issues and stakeholders effectively.

• Develop a cloud-based platform capable of real-time data scraping from diverse public sources such as government sites, media, and organizations.
• Implement AI-powered issue identification, suggesting relevant issues per company with data visualization for prioritization based on relevance, revenue impact, and influenceability.
• Create a dynamic stakeholder mapping system linking organizations and individuals to pertinent issues, with weighted relevance calculations.
• Design an intuitive user interface with interactive dashboards for detailed insights, supporting user trust and engagement.
• Build a scalable architecture supporting future integration of chatbots and geographic expansion.
• Ensure the system maintains transparency with timestamped, traceable data sources to enhance user confidence.

• AI-powered issue suggestion engine that recommends 5-10 relevant issues per company based on public data sources.
• Visual issue map displaying relevance metrics, revenue impact, and influenceability to support prioritization.
• Dynamic stakeholder map that connects organizations and individuals to specific issues, with a weighting system for relevance ranking.
• Interactive dashboards providing actionable insights on issues and stakeholder relations.
• Realtime data scraping and integration with public data sources, with timestamped, traceable links for transparency.
• Modular architecture allowing seamless addition of features like chatbots and geographic expansion.

• Public governmental and legislative portals for issue data
• Academic and NGO data sources for broader stakeholder information
• Real-time data feeds with timestamping and traceability for transparency
• Potential integration with chatbot solutions for enhanced user interaction

• Scalability to support a growing user base and increasing data volumes
• Real-time processing with minimal latency
• High data security and compliance with data privacy standards
• Traceability of data sources with timestamping for enhanced transparency
• User-friendly interface with interactive visualizations for non-technical users

The implemented platform is expected to significantly improve issue identification and stakeholder relations, enabling faster, more transparent, and data-driven decision-making. Goals include supporting a scalable environment that accommodates future growth and advanced features, thereby enhancing operational efficiency, building user trust through transparency, and positioning the client as a strategic leader in stakeholder analysis.