DatabricksAndrea DeSosa, Soheyl Rafi, Ralph Laite, Paul Signorelli, Kim HattonProblem & solution
Buy-side asset management finance departments face growing complexity from AI agents influencing valuation, redemption, and reconciliation workflows, while protecting net fee margin and NAV integrity remains their core mission. Databricks Genie One is presented as a data-smart AI coworker grounded in Genie Ontology, which captures business meaning and keeps definitions current as strategies and fee arrangements shift. Behind the assistant, Genie Agents automate overnight fund operations: ingesting custodian files, pricing positions, reconciling records, and producing a preliminary NAV for review. Every figure is traceable to its source, permissioned by role, and provable to investors or regulators, enabling finance teams to see forming risks early. The system does not make investment or valuation decisions; a human remains in the loop for every action.
The buy-side asset management industry faces increasing complexity from AI agents influencing valuation, redemption, and reconciliation workflows. Finance departments must protect NAV integrity and net fee margin while meeting regulatory demands (SEC, GIPS, AIFMD). Databricks Genie One is positioned as a data-smart AI coworker that uses Genie Ontology to capture business meaning and automate overnight fund operations.
Databricks Genie One uses Genie Ontology to capture business meaning and Genie Agents to automate overnight fund operations: ingesting custodian files via LakeFlow, pricing positions against market data, reconciling against custodian records, and producing a preliminary NAV for review. Every figure is traceable to its source and permissioned by role. A human remains in the loop for decisions.
AI agents are increasingly shaping valuation, redemption, and reconciliation workflows in asset management; BCG research estimates agentic workflows could lift investment-operations capacity by 55-65% and cut costs by 40%.
Genie One’s backend agents automate overnight NAV reconciliation: ingesting custodian files, pricing positions, reconciling, and producing a preliminary NAV before the ops team starts work.
Genie One does not make investment or valuation decisions; those remain with portfolio management and valuation committees, with a human always in the loop.
AI agents are increasingly shaping valuation, redemption, and reconciliation workflows. BCG research estimates agentic workflows could lift investment-operations capacity by 55-65% and cut operational costs by roughly 40%, concentrated in fund accounting, reconciliation, and NAV work.
No. Databricks Genie does not make investment, valuation, or redemption decisions. Those calls belong to portfolio management, valuation committees, and investor relations teams. Genie One gives finance an accurate view of fund operations so teams can see forming risks early and guide decision-makers.
Genie One's backend agents automate the overnight fund operations workflow: ingesting custodian files through LakeFlow, pricing positions against market data feeds, reconciling against custodian records, and producing a preliminary NAV for the valuation team to review. Every NAV figure is traceable to its exact pricing source, accrual entries, and custodian comparison.
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Asset management runs as a layered control plane: custodian and pricing data feed a governed context layer, agents run the overnight fund work, and a human signs off before anything is published.
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