Return on AI.
A new AI model ships almost every week. We filter what actually changes something for your closing, your reporting, or your deal flow — and we ignore the rest, no matter how impressive it looks on paper.
For CFOs, accountants, PE GPs and LPs, asset managers and family offices. We bill on results, not on concepts.
Positioning
We don't sell AI concepts.
We deliver measurable ROI to CFOs, accountants and private equity funds.
We leave that to others
- Slide decks without a single ROI figure
- AI vocabulary with zero implementation behind it
- Dizzying stats that are never sourced
- Generic "AI changes everything" takes
Every week in Return on AI
- One anonymized, numbered case study per week
- The method behind the result — not just the tool
- Honest limits: where AI actually stops today
- Grounded in the job: CFOs, accounting, PE
What you get
Four angles, on rotation.
The blunt take
What gets sold in the boardroom, and what actually survives — or doesn't — the first implementation sprint.
A number, every week
One anonymized real engagement per issue: the initial promise, what got delivered, the actual figure.
The real mechanics
DDQs, cap tables, closings, audits: where AI genuinely helps, and where it's still risky unsupervised.
AI news, filtered
A new model ships every week. We keep what actually changes something for your team — and ignore the rest.
What it looks like
In your inbox, every week.
Return on AI
What you read, in order
The blunt take
What gets sold in the boardroom, and what actually survives — or doesn't — the first implementation sprint.
A number, every week
One anonymized real engagement per issue: the initial promise, what got delivered, the actual figure.
The real mechanics
DDQs, cap tables, closings, audits: where AI genuinely helps, and where it's still risky unsupervised.
AI news, filtered
A new model ships every week. We keep what actually changes something for your team — and ignore the rest.
Written by the founder of i-avantage
AI consulting & implementation firm — finance
95% of AI projects fail. Not the technology — the people who sell it without ever having implemented it. At i-avantage, we work with CFOs, accountants, private equity funds and M&A boutiques with a team that implements, not one that presents. 200+ companies supported.
They trust us
Before you subscribe
Read the tone, not just the pitch.
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Python in Excel Script: The Prompt for Secure Financial Cohort Analysis (AI Secure Code Generation)
This article explores leveraging AI to generate Python scripts for Excel, specifically for financial analysis tasks like cohort retention. The key advantage is that the code executes locally within the user's secure environment, preventing sensitive data from leaving the system. It covers prompt engineering for secure, commented, and efficient code generation, including data cleaning and error handling.
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Secure Prompt Engineering: The Prompt-Checklist to Protect Your Sensitive Financial Data (AI Confidentiality)
This article delves into the critical aspects of data governance and confidentiality when integrating AI with sensitive financial information. It emphasizes that secure data handling happens *before* the prompt (anonymization, pseudonymization) and through rigorous *validation* of AI outputs, rather than solely relying on AI to 'self-police' sensitive data.
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AI Regulatory Watch: The Agent Anticipating IFRS Standards and Pillar Two Consequences (Tax Compliance Prompts)
This article demonstrates how AI can be a powerful tool for regulatory and tax monitoring. It focuses on using AI's strengths in research and synthesis while rigorously framing its weaknesses. Key strategies involve explicit source citation, structured alert generation, and human validation to ensure legal and fiscal compliance, especially concerning complex regulations like Pillar Two and IFRS.
Frequently asked questions
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