About

This site aims to showcases what an AI-powered business could look like through actionable playbooks. Each play demonstrates how LLMs can assist with specific tasks—from preparing financial statements to reconciliation—through agents or workflows.

The data is based on a hypothetical business called Kova. Kova sells monthly software subscriptions to prosumers. It gets customers through a mix of product-led growth, sales team, and digital marketing.

Data Warehouse

All plays use data from a mock data warehouse that mimics data across accounting, finance, sales, marketing and other functions.

Data Warehouse Schema/public/dataentities.csv• entity_id (PK)• entity_name• legal_name• countrycash.csv• entity_id (FK)• entity_name• bank_name• account_type• balance• interest_ratecustomers.csv• customer_id (PK)• customer_name• acquisition_channel• lead_id (FK)• subscription_tierleads.csv• lead_id (PK)• campaign_id (FK)• lead_source• status• customer_idcampaigns.csv• campaign_id (PK)• campaign_name• channel• budget• leads_generatedinvoices.csv• invoice_number (PK)• customer_name• customer_country• net_amount• vat_amountbudget.csv• account_code (PK)• account_name• category• department• jan...dec (monthly amounts)ledger.csv• transaction_id (PK)• date• account_code (FK)• account_name• category• department• debit_amount• credit_amount1:NbusinessSUM(net_amount)account_codegeneratesconverts topurchasesForeign KeyBusiness LogicReconciliationMarketing FunnelFinance DataMarketing Data

Schema Notes

  • entities.csv - Master table of legal entities (5 entities across US, UK, Germany, France, Sweden)
  • cash.csv - Bank account positions per entity (15 bank accounts with balances and rates)
  • invoices.csv - Customer invoices for VAT analysis; net_amount totals reconcile to Revenue in ledger ($12.59M)
  • budget.csv - Annual budget by account with monthly breakdown
  • ledger.csv - General ledger transactions (linked to budget via account_code; Revenue category matches invoice totals)
  • campaigns.csv - Marketing campaigns across Meta, Google, LinkedIn, TikTok, Sales, and PLG (37 campaigns, ~$1.2M annual spend)
  • leads.csv - Marketing leads generated from campaigns (~150 leads, tracks conversion status and attribution)
  • customers.csv - Customer master data linked to leads and invoices (60 customers with subscription tiers and acquisition channels)

Download Datasets

All datasets are available for download below. Each dataset is designed to represent realistic financial scenarios and can be used with AI models for analysis, automation, and learning.

Entities

CSV
Master table of legal entities across US, UK, Germany, France, and Sweden with incorporation details and ownership structure.
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Cash

CSV
Bank account positions per entity with balances, interest rates, and relationship manager information.
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Invoices

CSV
Customer invoices for VAT analysis. Net amounts reconcile to Revenue in ledger ($12.59M).
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Budget 2025

CSV
Full year 2025 budget data with monthly breakdowns by account, category, and department. Includes revenue, COGS, and operating expenses.
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Ledger 2025

CSV
Transaction-level general ledger data for 2025. Complete double-entry accounting records for generating financial statements.
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AP Accrual - Vendor Invoice

JSON
Accounts payable accrual reconciliation with vendor invoice matching and aging analysis.
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Revenue Recognition Contract

JSON
Revenue recognition analysis for customer contracts with performance obligations and allocation.
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Bank Reconciliation - June 2025

JSON
Bank reconciliation for June 2025 with outstanding checks, deposits in transit, and reconciling items.
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AR Subledger Reconciliation - June 2025

JSON
Accounts receivable subledger to general ledger reconciliation with aging and dispute tracking.
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Intercompany Reconciliation - June 2025

JSON
Intercompany reconciliation between US and UK entities with FX adjustments and timing differences.
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Prepaid Expenses - June 2025

JSON
Prepaid expenses reconciliation with amortization schedules and balance verification.
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Contribute

If you'd like to contribute a play or to this project, please feel free to connect on LinkedIn.