The Problem Is Not Finding Documents
OnBoard announced the launch of AI Assist, a conversational feature that enables directors, administrators, and executives to query board materials and background in natural language. The tool is available to OnBoard customers and provides responses accompanied by references to the sources used.
The technical difference lies in how information is retrieved. Rather than simply locating identical words within minutes or documents, OnBoard describes AI Assist as a semantic search tool, capable of relating a question to information that may be expressed using different terminology.
The platform can jointly query board materials, published minutes, and years of meeting history.
This changes the function of document search. A director can ask about the background of a decision or what changed since a previous discussion, and the system attempts to reconstruct that relationship using the available historical record.
Traceability Becomes Part of the AI
A response generated by artificial intelligence takes on different significance when it can lead to the document supporting the information. AI Assist incorporates citations that allow the user to consult the original material used to generate the response.
This feature introduces a layer of document traceability especially relevant in an environment where decisions can have financial, regulatory, and strategic consequences. The AI performs retrieval and synthesis, but the user retains the ability to review the record before using that information during a meeting or vote.
The system also inherits existing access permissions. A user can only retrieve materials for which they have authorization, and OnBoard states that if a source is outside their permissions, AI Assist does not expose it. This means the governance problem does not end with response quality: it also depends on controlling what information can enter the context of each query.
Institutional Memory Enters the Architecture
The second relevant component is the preservation of historical knowledge. OnBoard links AI Assist with its Governance IQ offering, aimed at connecting board history with sector knowledge and individual experience.
The company suggests that retrieving previous decisions can help preserve that knowledge when board members change.
The problem is common in organizations with extended governance cycles: documents remain stored, but the reasoning that accompanied a decision may be scattered across minutes, meeting materials, and different stages of the process.
A platform capable of semantically relating those records can turn the historical archive into a source of operational context.
Security and Human Judgment Remain in the Loop
The launch comes when, according to an OnBoard survey cited by the company, 92% of directors surveyed had used AI for board-related functions during the previous six months, while 63% belonged to boards without a policy regulating its use. These are figures from the company’s own survey and should therefore be interpreted within that population and methodology.
In that scenario, control architecture becomes as important as conversational capability. OnBoard states that customer data is not used to train AI models and that AI Assist operates within existing permissions. Its documentation also notes security and audit controls associated with its platform.
The company also maintains an explicit premise: AI retrieves and synthesizes context, but the decision continues to rest with the people responsible for organizational governance. Technically, this positions AI Assist closer to a retrieval and analysis layer over the corporate record than to an autonomous decision-making system.
SOURCE and PHOTO: https://www.prnewswire.com
