OnBoard Integrates Semantic AI to Digitize Institutional Memory
Directors often struggle to recall the nuances of past investment approvals or unresolved risks buried in board archives. Indianapolis-based OnBoard is addressing this gap with AI Assist, a new tool that allows executives to interrogate historical board materials through plain-language queries while ensuring all answers remain strictly cited to source documents.

The platform functions within existing security frameworks, meaning users only access data they are already authorized to view. Crucially, customer information is excluded from AI training sets to maintain data privacy. During beta testing, the tool enabled boards to identify critical risks and conditions from previous sessions, allowing directors to connect legacy proposals to current agenda items before casting a vote.
Tim Adair, Chief Product Officer at OnBoard, notes that the ability to retrieve context beyond the current meeting packet is essential for high-level governance. The tool serves as a bridge for institutional knowledge, ensuring that the rationale behind past decisions remains accessible even as board composition changes. This launch aligns with the company’s broader 'Governance IQ' initiative, which aims to integrate historical records with individual expertise to improve long-term decision-making. According to the company's 2026 Board Effectiveness Survey, 92% of directors are already utilizing AI in their workflows, yet 63% operate on boards without established governance policies for the technology.
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