Finance Leader@Matter Labs | Board Member | Strategic Advisor | Wharton MBA

Seattle, WA
Thrilled to be attending Medici LA 26, where @networkmedici gathers the brightest minds in the digital asset space. Excited to participate in the thought-provoking conversations on how the institutional trilemma - privacy, interoperability and cryptographic enforcement on a neutral settlement layer can now be solved with blockchains!
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Current CFO framing - "we are using AI to be more productive." The new paradigm is - "my Finance function comprises a Finance team plus an AI team."
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Here's my open source Finance stack. > 12 agents covering the full Finance org. > 3 shared skills. > 4-tier MCP integration. Propose → approve → post discipline. MIT-licensed. Runs on your own machine.
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Install in one snippet (Claude Desktop config): the-ai-finance-stack.sanjayr… Full write-up — Part 1 of 3 in my AI-Powered Finance series: sanjayraghavan.substack.com/… Source: github.com/sanjay-raghavan/t… #AIAgents #CFO #FinTech
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Lesson 4 of AI powered Finance is out - building a financial model using AI. Three rules: • All assumptions in one section • One-directional flow (no cell reaches forward) • Every number has exactly one home
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We use a hypothetical company Strand, a PSP at $25M net revenue and $4B TPV. The robust model incorporates Gross-to-net waterfall, three-scenario toggle, sensitivity heat map, GAAP statement, assumptions memo, reusable template. Link in comment!
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Lesson 3 of AI-Powered Finance is live: "From Raw Data to Clean Spreadsheet in Minutes" 🧵 This one is about data manipulation, something Finance teams spend a lot of time on every month.
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In the next lesson we will build a Financial Model from a Conversation. We'll use Claude's finance:financial-statements skill to generate a properly structured P&L with GAAP-compliant presentation. No template. No manual formatting. Just a description and a working model. Link in replies 👇
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Most Finance professionals using AI are leaving 80% of the value on the table. Not because the AI isn't capable. Because of how they're asking. Here's the framework that changes everything:
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Lesson 2 of AI-Powered Finance is live. Includes 10 copy-paste learning prompts for the tasks Finance teams spend time on: e.g., Variance commentary, Budget vs. actuals, Cash flow forecasts, Board packs, Investment memos, Investor reporting Link in replies 👇
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