Inclus Academy: Meet Inclus 6.0 & the AI Assistant
In this Inclus Academy webinar, Inclus co-founders Mikaeli Langinvainio and Juha Törmänen introduced Inclus 6.0 and demonstrated how Inclus AI Assistant can transform enterprise risk management from a static reporting exercise into a dynamic, intelligence-driven process.
The discussion explored how Inclus AI Assistant can support organizations in identifying, analyzing, updating, and mitigating risks through conversational interfaces and automated workflows. The speakers emphasized that while AI significantly improves efficiency and analytical capability, effective risk management still requires human oversight, collaboration, and organizational participation.
A key theme throughout the webinar was “building common understanding with technology” — Inclus’ long-term mission originating from conflict resolution and systems thinking. The session highlighted how AI can help organizations better understand complex issues together by combining structured risk data, natural language interaction, and contextual analysis.
The live demonstrations showcased several practical use cases for the Inclus AI Assistant, including:
Identifying top organizational risks and evaluating mitigation coverage
Generating new mitigation tasks and action plans automatically
Comparing external reports against risk registers to identify missing or emerging risks
Cleaning and consolidating large risk registers with AI-supported suggestions
Stress-testing organizational risks against geopolitical and supply chain disruptions
Creating contextualized risk intelligence and key risk indicators (KRIs)
The webinar also addressed critical questions around AI governance, security, and privacy. Inclus presented its approach to EU-compliant and secure AI deployment, including local AI model support, human-in-the-loop approval processes, and safeguards to prevent unintended data exposure.
Finally, the session explored the future roadmap for Inclus AI, including semantic search, Retrieval-Augmented Generation (RAG), document libraries, semantic clustering, dashboard intelligence, and integrations between AI assistants across enterprise systems. The broader vision is to help organizations move toward AI-optimized risk management where intelligence, workflows, and strategic action are continuously connected.