Considering AI for Financial Statement Reviews? See how Nexly can help

Nexly combines secure, context-aware AI chat with the full context of the financial statements under review.

Below is a real-world scenario showing how your team can use Nexly to save time and reduce the risk of undetected errors.

You're finializing review of draft financial statements when the client emails:

“We just realized the long-term loan from ABC Bank was partly repaid in December — EUR 400,000 was paid back early, but we forgot to reflect that in the draft. The remaining balance is now EUR 3.6 million instead of EUR 4 million.”

It sounds simple. But under US GAAP, this triggers a cascade of updates:

As the reviewer, you now need to:

• Annotate PDF with comments: Note 10 – Long-Term Debt for principal repayment, including updated maturity tables and debt terms

• Annotate PDF with comments: the balance sheet (loan balance)

• Verify impact on the cash flow statement (financing activities)

• Review the income statement for changes to interest expense

Doing all this manually? Risky and time-consuming.

Instead, let Nexly AI handle the heavy lifting:

1. Paste the client’s message into Nexly AI

2. Ask: “How should Note 10 be updated, and what other areas need adjustments?”

3. Nexly responds — based on your firm’s model disclosures (yes you can uptrain Nexly AI based on your model notes disclosures) and the full context of the financial report:

PDF annotation done automatically:

Nexly automatically generate a comments to annotate PDF, clearly  indicating which sections 
are affected and specifying the required actions

Prompts to :
- Confirm effective interest treatment 
- To check early repayment penalties or covenant disclosures
- To ensure consistency across comparative periods

Find out more:

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