More than a report
Reporting requires source data, validation, review, approvals, commentary, packaging, and evidence.
Next Gen — Fund Reporting
AI-enabled fund reporting production and control.
Fund reporting involves too many fragmented inputs, too many manual steps, and too much risk when validation, review, and approval are not systematically controlled. Reporting Robot helps private markets teams turn those fragmented inputs, validation steps, review cycles, approvals, and output packages into a governed reporting workflow.
Fund reporting is not just document production.
Private markets reporting depends on data quality, calculations, reconciliations, prior-period consistency, commentary, review cycles, approvals, investor expectations, and audit evidence. Reporting Robot is designed to support that full production process, not just generate text.
Built for repeatability
Reporting workflows can be reused across periods while still capturing exceptions, adjustments, and approvals.
Human review stays central
AI supports drafting, validation, explanation, and workflow control, but humans approve final outputs.
Core capabilities
Report production workflow
Coordinate inputs, tasks, owners, review status, approvals, and output readiness.
Data validation
Check source completeness, mapping, period-over-period consistency, reconciliations, and exception conditions.
Commentary support
Assist with draft explanations, variance commentary, reporting notes, and reviewer prompts.
Review and approvals
Route reporting packages through preparers, reviewers, approvers, and exception owners.
Output packaging
Prepare investor-ready reporting packages, validation summaries, approval records, and supporting evidence.
Audit evidence
Maintain source references, workflow history, validation results, comments, approvals, and export packages.
Reporting workflow
A controlled path from reporting inputs to investor-ready output.
Ingest
Collect source files, prior reports, templates, fund data, admin outputs, commentary, and supporting documents.
Map
Align sources to reporting templates, investor views, fund structures, calculations, and disclosure requirements.
Validate
Run quality checks, tie-outs, reconciliations, period comparisons, exception rules, and completeness checks.
Draft
Prepare reporting packages, commentary support, variance explanations, and reviewer-ready outputs.
Approve
Route packages through review, approval, issue resolution, sign-off, and evidence capture.
Export
Produce investor-ready outputs, validation reports, exception logs, approval records, and audit packages.
What Reporting Robot produces
Investor reporting packages
Validation summaries
Exception logs
Approval records
Commentary drafts
Source mapping summaries
Review history
Audit evidence packages
Turn fund reporting into a controlled production workflow.
Alt360 can help design and deploy reporting workflows that combine data validation, AI-enabled commentary support, review controls, approvals, and audit-ready output.
FAQ
Reporting Robot is Alt360's AI-enabled fund reporting production and control solution. It helps private markets teams coordinate reporting inputs, run data validation, manage review and approval workflows, support commentary drafting, and produce audit-ready investor output packages.
No. Human review and approval remain central to the workflow. Reporting Robot supports data validation, workflow coordination, commentary drafting, and exception tracking — but preparers, reviewers, and approvers stay in control of final outputs.
Reporting Robot can support fund performance reports, LP updates, investor letters, capital account statements, regulatory reports, portfolio company summaries, and custom investor reporting packages — configured to the firm's templates, fund structures, and investor requirements.
Every step of the reporting workflow is captured: source references, validation results, commentary versions, review comments, approval records, and exceptions. This creates a complete, reviewable audit trail for each reporting period.
Reporting Robot is deployed alongside Alt360's consulting model. We start with the firm's current reporting processes, data sources, templates, and approval structures, then configure the workflow to match — rather than asking the team to adapt to a generic tool.