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Lukas Köbis

Co-founder at Causal

Highlights

Apr 17 · linkedin

😋 New favourite Slack channel, showing real-time MRR movements powered by Causal's new Stripe integration for SaaS reporting → https://lnkd.in/ecA4ktxt

Mar 21 · linkedin

🤖 We didn't want to jump on the AI bandwagon just for the sake of it, so we waited to find a real problem that AI could uniquely solve at Causal. This week we unveiled it. Here's how it works...

  1. Connect to your QuickBooks/Xero account (takes a few clicks)

  2. Start the wizard (takes 1–2 mins)

  3. Explore and customize your AI-generated financial model in Causal

Hot take: This is only useful because it's not a black box spitting out numbers. Black-box AI approaches aren't going to work in finance because you need to be able to audit what's going on under the hood, and that's exactly what you can do in Causal.

Our AI's main task is to group your GL accounts together into sensible line items that you actually care about. This turns your 100-item P&L (way too granular) into 10–20 items that you can digest and forecast.

Example: you probably don't care about seeing "Telephone", "Internet", "Printing, Postage & Stationery" individually, you just care about "Office expenses" as a whole. The AI figures this out and creates an "Office expenses" variable in Causal, which pulls in and sums up those individual office-related GL accounts.

The wizard then calculates key outputs that you need to know: • Gross profit • Net profit • Burn rate • Runway

After you've run the wizard, you can start customizing your model to your heart's content — spin up new scenarios, create your own line items, edit formulas to change how the forecasts are generated, link it to other models, etc.

And once you're happy with it, you can share a beautiful dashboard with your team and investors.

We have a whole video series—Causal for Finance—that starts with the wizard and walks you through exactly how to customize and extend it.

Check it out, and let me know what you think! (Links are in the comments)

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Experience

Co-founder at Causal

Location

Oxford, Oxfordshire, United Kingdom