Why allocators still re-type PDFs, and what it costs.

Every quarter, the documents arrive in the same way. A quarterly report from one manager as a PDF, a capital account statement from another as a spreadsheet, a notice from a portfolio company in an email. Each one holds numbers that belong in your workbooks, and in most allocator teams an analyst still moves them there by hand.

How the work is done today

The process rarely changes from one quarter to the next.

1. Read page by page. An analyst hunts through each document for every number.
2. Keyed in manually. Each figure is typed, cell by cell, into the team's workbook.
3. High-level review. Someone takes a quick look before sign-off. Nothing is cross-checked.

The workbook is eventually complete. The process also carries 3 costs that are easy to overlook, because they are spread across the quarter and across the team.

Time

At one fund of funds, 2 weeks a quarter were spent on exactly this. That adds up to 8 weeks a year of an analyst's time spent copying figures rather than analysing them.

Capital statements, fund reports and financial statements are copied into workbooks by hand, figure by figure, and the volume grows with every new manager and every new fund.

Trail

When an investment committee member or an auditor asks where a number came from, someone has to dig back through the PDFs to find it. The link between a figure in the workbook and the page it came from usually lives in one analyst's memory.

Risk

One typo flows straight into your investment committee report. Because the final review is a quick look rather than a cross-check, a transposed digit or a figure taken from the wrong period can travel all the way to the people making decisions.

Why the problem persists in private markets

Private market reporting does not arrive as a clean, standard feed. Four traits make it hard to automate:

• Fragmented. Many managers and companies, each with its own reporting style.
• High volume. Dozens of reports a quarter, most of them arriving around the same deadline.
• Unstructured. Unique PDFs, spreadsheets and emails.
• Inconsistent. The same metric under various names from one manager to the next.

These are the conditions in which simple extraction struggles. A tool that reads a number once and writes it down has no way of knowing whether it read the right number, so the team is left re-checking the output by hand.

What changes with Swick

Swick was built for allocators in this position: private equity, private credit, fund of funds and venture capital teams that close the cycle by hand.

Instead of a single reading, independent AI auditors read every number, and every total is checked against its line items. Your team reviews only what the auditors disagree on. Each number in your workbook is linked to its page, and each decision is logged.

At the fund of funds where Swick was proven, the result was 8 weeks of an analyst's time saved every year, 99.3% accuracy across thousands of data points and every number traced to its page.

Where the time goes instead

The time handed back goes to the work the team was hired to do:

• Analyse. More time analysing and building the portfolio.
• Prospect. More time in front of investors and new deals.
• Scale. Grow the book without growing the team.

Book a demo to see a quarter close in Swick.