Remittance and Investor Reporting

Turn complex documents into clean, structured data, fast.

Investor and remittance reporting depends on accurate data. But when critical values are buried in inconsistent layouts, dense tables, or scanned reports, even small delays can throw off your timelines. AiCR pulls what you need without manual entry or formatting cleanup.

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Why Traditional Workflows Fall Short

Manual data entry and inconsistent files slow teams down.

Reporting teams often rely on outdated tools or ad hoc processes to extract data from trade confirmations, investor summaries, and remittance reports. With so many formats in play, accuracy drops, and timelines slip.

What AiCR Delivers

Accurate, structured data, ready for reporting.

AiCR reads the documents your reporting team handles every day. It extracts key values, parses complex tables, and outputs clean, labeled data you can use right away.

What AiCR Processes

  • Investor Summaries and Remittance Reports – Extract balances, rollups, deal IDs, remittance amounts, and more.
  • Trade Confirmations and Supporting Documents – Identify and pull key terms, values, and reference data.
  • Messy, Nested, or Low-Quality Tables – Extract row-by-row from inconsistent or low-resolution layouts.
  • Structured and Semi-Structured Inputs – Normalize outputs from scanned or formatted files with ease.
  • Confidence-Scored Outputs – See exactly what was pulled and how confident AiCR is in each value.
  • Export-Ready Data – Feed into Excel templates or compliance platforms with no extra work.

Why Reporting Teams Use AiCR

More clarity. Less rework.

Accelerates Reporting Workflows

Speeds up prep and delivery with minimal manual effort.

Reduces Formatting and Errors

Delivers structured, consistent output from variable files.

Handles Complex Inputs Without Issue

Works with scanned documents, mixed layouts, and dense tables.

Connects Directly to Your Tools

Integrates cleanly into your reporting and compliance stack.

Supports Compliance and Transparency

Get transparent, field-level visibility into every extraction.