Ramnandan Krishnamurthy
@ramkris
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founder & CEO @Maximor_AI - enterprise finance AI // 2x founder, formerly @Microsoft, @IITMadras
New York
Joined February 2015
🚀 We’ve raised a $9M seed to power Maximor – the AI-powered finance team that fixes the back-end grind. 💡 Finance is broken. And the solution isn’t another ERP. A quick 🧵
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love the love this article is getting! it clearly defines context graphs as the missing abstraction –– the line between prompt-level copilots and truly agentic systems that capture decision traces and become systems of record Appreciate the mention @JayaGup10 @ashugarg
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9/ Finance leaders are judged less on accuracy and more on decision quality. Not “were the numbers right?” but “did we act on the right signals, in time?”
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8/ Audit readiness stops being a phase. It becomes a property of how decisions are made, recorded, and explained — continuously. Audits get shorter. Expectations get higher.
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7/ Finance cycles collapse asymmetrically. Some processes move to near-real-time. Others stay periodic. The mistake is forcing everything into the same cadence.
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6/ Controls move upstream. Instead of catching issues at close, finance designs workflows so fewer issues happen at all. Prevention beats reconciliation.
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5/ Headcount stops being the primary scaling lever. Finance teams scale by redesigning workflows, not by hiring faster. The org chart flattens. The decision surface doesn’t.
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4/ Reporting speed stops being a competitive advantage. Everyone can generate numbers quickly. The differentiator becomes trust, lineage, and explainability.
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3/ Human judgment doesn’t go away. It concentrates. Fewer people make decisions, but those decisions carry far more weight.
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2/ “Default best practices” age badly. AI makes exceptions cheap and context explicit. Finance becomes less standardized, not more.
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1/ Monthly close stops being the center of gravity. Not because it disappears, but because decisions move upstream. Close becomes validation. The real work happens continuously.
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If that shift is real, the next few years of finance aren’t mysterious. They’re predictable. 👇I wrote down 9 concrete consequences for finance teams by 2026 – what changes, what breaks, and what becomes a liability.
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Once that split starts, the bottleneck moves. Reporting/forecasting on historicals stops being scarce. Clean, decision-ready data becomes the constraint.
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Everyone is predicting “more AI in finance” for 2026. That’s like predicting “more electricity” in 1926. Not wrong. Just not the point. The real question isn’t whether AI shows up – it’s who rewires their operations around it vs. who just adds it on top.
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Once that split starts, the bottleneck moves. Reporting/forecasting on historicals stops being scarce. Clean, decision-ready data becomes the constraint – the inputs AI actually needs to act.
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think about it: ERPs explain what happened. But finance runs on why it was allowed to happen.
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reality of enterprise finance: the ERP isn’t the system of record. the general ledger (ERP) stores state. the sub-ledger layer stores decisions – exceptions, overrides, precedent. that layer lives in the execution path today as: ERP add-ons, Excel patchwork, and human judgment.
Every other week the same debate comes back: agents kill everything vs systems of record survive. It's a fun debate. It's also the wrong one. The better question: do entirely new systems of record emerge? Systems of record for decisions, not just objects. And do those become the
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If you’re joining a startup valued at $500M+ and they’re offering ISOs with a 90-day exercise window and no liquidity program – that’s standard. It’s not a red flag. It’s just the "default". But that "default" was designed for a world where startups had lower valuations and
@pgosavi7056 no I thought there were like 10 and then I posted it and I heard about 6 new ones lololol
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This thread matters even more in the current AI x Accounting arena. Capital is moving fast across AI accounting and ERP, often significantly ahead of revenue. One accounting AI startup announced a large A round at >400x valuation-to-revenue with a very early product That
@pgosavi7056 no I thought there were like 10 and then I posted it and I heard about 6 new ones lololol
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This thread matters even more in the current AI x Accounting arena. Capital is moving fast across AI accounting and ERP, often significantly ahead of revenue. That doesn’t make companies wrong – but it does change employee outcomes. The percentage is math. We’re
Resolve Serval Applied Compute If you work at these cos- please read this.
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