AI agents can
Analyse unfamiliar source structures, suggest field mappings, identify likely relationships and assist with transformation setup.
Onboarding a new provider, fund or system usually means someone manually working out which column means what. Datox agents map source data from the source structure and your existing reporting model, then the governed transformation rules run once a person confirms the mapping.
The agent inspects structure, headers, data types, value patterns and sample records to understand what each column represents.
Fields are matched to the reporting model, with alternatives and a rationale where the match is uncertain.
A member of the reporting team reviews the proposal, corrects anything wrong and approves it. The confirmed mapping becomes configuration.
Transformations, normalisation and calculations run against the mapping every period, and it can be reused for similar sources.
AI assists with interpretation and setup. Configured logic performs the arithmetic. People confirm and approve.
Analyse unfamiliar source structures, suggest field mappings, identify likely relationships and assist with transformation setup.
Perform calculations, apply approved transformation rules and produce repeatable results every period.
Confirm mappings where required, review exceptions and approve material changes before they take effect.
Agents apply the logic you configured; they do not invent arithmetic. When a reviewer asks what happened to a value, the answer is a description of the concrete steps applied, with inputs.
Because mappings are configuration rather than code embedded in a script, they accumulate as a reusable asset. The tenth fund from the same administrator is far quicker to onboard than the first.