Following the era of Systems of Record (SoRs), enterprise software is now entering a new phase with the rise of Systems of Action (SoAs). These platforms are shifting the focus from static record-keeping to workflow, collaboration, and decision enablement. Rather than serving purely as repositories of truth, SoAs are becoming the place where work happens. By capturing metadata and behavioral data, these systems generate datasets that can be used to train AI applications to better understand user goals.
While SoRs prioritized data integrity and structure, SoAs emphasize engagement and real-time context—marking a transition from what we know to how we act.
Soon, SoAs will give way to agentic systems—AI-native platforms that don’t just support work but autonomously perform it. These systems are designed to initiate workflows, complete tasks, and generate outputs based on contextual awareness and historical data patterns.
Henon is a System of Action, purpose-built for private equity and credit workflows. Using proprietary AI models, the platform ingests and structures complex data—transforming raw inputs into understandable records, real-time dashboards, and forward-looking models.
Built with a focus on operational execution, it is designed to create, reinforce, and evolve workflows, ensuring that teams aren’t just informed—they’re efficient. From insight to execution, Henon equips teams with everything they need to monitor, report, and act—faster and with greater clarity than ever before.
SOURCES
The Evolution Of Enterprise Software: Systems Of Records And Action Give Way To Agentic Systems, Akash Bajwa, May 2025
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