Finance

Accelerating accounting workbook preparation

AI is used to build accounting workbooks and automate rollforward preparation in Excel, reducing manual spreadsheet work that would otherwise take hours.

Why the human is still essential here

The accountant still decides how the workbook should be used, reviews outputs, and applies accounting judgment before relying on the results.

How people use this

Month-end workbook setup

AI turns a prior-period template and current ERP or GL export into a draft month-end workbook with tabs, formulas, and supporting schedules prepared for accountant review.

Claude for Excel / Microsoft Copilot for Excel

Supporting schedule rollforward

AI carries forward recurring account schedules, dates, and workbook logic into the new period while flagging broken links and cells that need human attention.

Claude Cowork / Claude for Excel

Formula and tie-out checks

AI reviews the workbook for inconsistent formulas, missing mappings, and reconciliation breaks before the file is used in the close process.

Microsoft Copilot for Finance / Excel

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Related Prompts (2)

Community stories (1)

Personal Story
LinkedIn

Iโ€™ve cut task time by 90% in some cases.

Iโ€™ve cut task time by 90% in some cases. But I still canโ€™t fully deploy AI in my workflow.

The past 2 months Iโ€™ve been experimenting with AI tools and building Agents, but as I take a step back, the same fundamental issues are still there.


It started as a productivity tool. I built a workbook in minutes that would have taken hours.


My mindset shifted. I started using Claude in Excel for simpler tasks and automating workbook rollforward with Claude Cowork.


But it didnโ€™t feel integrated. It felt like I was forcing myself to use this new tool because I knew it was good for me, kinda like remembering at the McDonaldโ€™s cash register that the mobile app is faster.


I need the Agent to be integrated with my CRM or spend management tool, ping me or the other stakeholder for review or judgment call, and push the process along in the workflow.


Start with AI and end with AI.


Like when my stomach emits hunger signals, order my McNugget already, and have it delivered. Just let me choose the sauce Iโ€™m feeling that day ๐Ÿ˜‚


But today, Iโ€™m still exporting data, delivering it to the Agent, generating output, and importing it back.


And thatโ€™s just with me and my workflow. Scaling it for the rest of the org is a whole other problem.


Data hygiene. System integration. Team collaboration. Same issues, different tool.


How has your team thought about the integration problem? Not just using AI, but actually deploying it?

DCKC
Daniel C. Kim, CPAAccounting Manager at Eudia
Apr 24, 2026