Blog
Explore articles, guides, and resources about data engineering, AI, and analytics.
Guessing AI vs. Verifiable AI: Why the Difference Matters in Finance
A CFO asked Claude for the year-end cash position. The answer was 30% off. The problem was not the model. It was what the model was reasoning over. Here is what ungoverned financial data does to AI, and what a governed layer changes.
Why Your Rolling Forecast Is Always Stale
FP&A teams spend 70% of their time collecting data, not analysing it. The rolling forecast is stale not because the team is slow, but because the data pipeline feeding it was never built for speed. Here is where it breaks down, and what changes when it is fixed.
Kristyna Kaucka
Why Your Chart of Accounts Breaks at Every Acquisition
Five ways manual account mapping fails after an acquisition, and what finance teams are doing instead.
Kristyna Kaucka
WhitepaperThe Numbers You Can't Trust: Why multi-entity finance has a data problem — and what CFOs are doing about it.
Why consolidated numbers break down across entities, and what CFOs are doing about it. No ERP replacement required.
Kristyna Kaucka
WhitepaperResources
From 50 Spreadsheets to One Source of Truth
A PE Leader's Guide to Portfolio Monitoring Automation and Multi-Entity Financial Consolidation. How PE Operating Partners and portfolio CFOs move from 50 spreadsheets to one live, automated view — without replacing a single ERP.
Kristyna Kaucka
EbookResources
The PE CFO Playbook: Your First 100 Days, Data-First
The first 100 days aren't about strategy. They're about survival. Here's the framework to get your data house in order before the board asks why you don't have it.
Kristyna Kaucka
EbookResources
The 8-12 Week PE Financial Data Foundation Framework
A deployable implementation guide for PE Operating Partners and incoming CFOs. From acquisition close to live, automated portfolio visibility — without replacing a single ERP.
Kristyna Kaucka
AI & AgentsCFO & FinanceResources
Context, Semantic Layer, Corporate Memory (What They Actually Mean)
These three terms show up in every LinkedIn post about AI in 2026. Usually together. Usually without explanation. Here's what they actually mean, how they relate to each other, and what they look like in practice.
Karolina Everlingova
AI & AgentsCFO & Finance
You’re not doing AI transformation. You’re doing AI decoration.
Every enterprise is bolting AI agents onto Salesforce, Workday, and SAP. The result is a smarter interface on top of a system designed for humans. That is not transformation. Here is what transformation actually requires — and how we did it in three months.
Pavel Dolezal
CFO & FinanceConferencesFinanceEvents
What We Learned Hosting a Finance Breakfast in Prague
We spent a morning with 30 finance leaders on where they stand with AI. Half were still Excel-driven. A third were already experimenting with Claude on their own. All of them had the same question.
How To
How to Teach Your AI Agent to Build Keboola Data Apps
Resources
The Custom Build Trap: What Finance Leaders Learn After the Budget Is Approved
Real costs, hidden complexity, and the 5-question framework to make the right call before you commit.
Kristyna Kaucka
