Blog

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·Jun 18, 2026

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·Jun 18, 2026

The 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·Jun 12, 2026

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·Jun 8, 2026

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·Jun 8, 2026

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·Jun 8, 2026

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·May 12, 2026

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·May 11, 2026

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 Teach Your AI Agent to Build Keboola Data Apps

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·Mar 26, 2026