The tool functions by synchronizing portfolio data across multiple sources, isolating issues such as duplicate transactions, missing activity, or unexplained balance variances. Rather than forcing accounting staff to manually hunt for errors, the platform categorizes these exceptions into a centralized queue. Users retain final authority through a human-in-the-loop model, ensuring no adjustments are finalized without explicit review and approval.

CEO Jay Geeth noted that the agent aims to reduce the time spent on investigation without compromising data integrity or compliance. To accommodate varied security requirements, the platform is provider-agnostic, allowing organizations to integrate their own API keys for models from Anthropic, OpenAI, or Google. This architecture ensures that enterprises can leverage AI efficiency while maintaining control over their internal workflows and token reporting costs. The agent is currently available to all of the company’s enterprise-tier clients.