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Expertise

Artificial intelligence, profession by profession

I-Avantage works with five finance professions: finance departments, private equity funds, M&A teams, accounting firms and family offices. For each one, the AI uses worth examining, the points to watch and the way a project runs differ: the confidentiality of a data room is not that of an accounting firm's professional secrecy, nor that of a family's wealth.

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The professions

Finance department

Closing, reporting, forecasting and document analysis: where AI helps a finance team, and on what terms.

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Private equity

Deal flow, due diligence, portfolio monitoring and investor reporting: AI across the investment cycle.

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Mergers and acquisitions

Marketing documents, data room review, target and buyer research: AI on the document workload.

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Accounting firms

Production, review, client relations and advisory: AI in an accounting firm, within professional secrecy rules.

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Family offices

Consolidation, family reporting, opportunity analysis and governance, with stronger confidentiality requirements.

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What every profession has in common

Whatever the profession, the method is the same: start from the processes as they run, score each use case on value, feasibility and risk, write usage rules stating which data the tools work with and who validates their outputs, then train the teams on their own tasks.

Quantified targets are set after the diagnosis, from a measured starting point.

Frequently asked questions

Which finance professions does I-Avantage work with?

Finance departments, private equity funds, M&A teams, accounting firms, family offices and asset managers.

Can AI be used with confidential data?

It depends on the tool, where it processes data and its contractual terms. The usage rules written during the roadmap step set which data may be used, with which tools and under which validation.

Your profession, your processes

The first conversation starts from your team and your tasks. The format comes afterwards.

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