Categorisation
Every transaction, categorised and forecast-ready
Palm automatically normalises and categorises every transaction across your stack, learning your financial vocabulary as it goes. A continuous Category Health review flags likely miscategorisations and suggests fixes before they skew your forecasts.
“Transparency wasn't enough — we needed clarity to change the way we think about our cash, and Palm has definitely enabled that.”
Lucia Galan Caceres, Head of Treasury at ON, Highly Commended Treasury Woman of the Year 2026
Read case study on how ON unlocked $350M in additional cash investmentsSolving the “data isn’t clean” problem for treasurers
Manual categorisation runs on rules, and rules break the moment the business changes. Move banks, launch a new region, or lose the person who built the logic, and transactions quietly land in the wrong place. One wrong category then ripples into every position, report, and forecast downstream.
Palm removes the rules. It learns your business and categorises every transaction automatically, wherever your data comes from, so the foundation stays clean even as you grow, switch banks, or restructure.
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How it works
Forecast-ready categories from day one
Palm ingests transactions from every bank, account, and entity, then uses AI to categorise each one against your chart of categories. It learns your business’s financial vocabulary, reads cryptic bank narratives, and explains the reasoning behind every categorisation.
- AI categorises across all banks, entities, and currencies
- Learns your own Category Groups and Categories, not a generic template
- Every categorisation comes with a plain-language explanation you can audit
- Confidence scoring with human-in-the-loop on the transactions that matter
- Reliable intercompany vs non-intercompany classification, so funding and FX signals stay correct
Category
Categorisation explanation
Category
Categorisation explanation
Description
Data Source
Bank Statements
Recategorisation
Fix the few transactions that move your forecast
Palm’s AI analyst Pulse surfaces suspected miscategorisations, ranks them by financial impact, and lets you fix a whole cluster in one pass. Correct it once and the AI learns the pattern, so the same mistake never reaches your forecast again.
- Category Health flags miscategorisations and ranks fixes by materiality
- Similar transactions grouped into clusters for one-click bulk correction
- Every fix teaches the AI and applies to similar flows automatically
- Corrections flow straight through to your forecast, with a full audit trail
Forecasting
Clean categories, sharper forecasts
Forecasts are built from historical patterns by category. Miscategorised transactions poison the model and the forecast drifts. Palm keeps the foundation clean, so recurring flows are modelled correctly and your projections tighten.
- Accurate categories feed directly into more reliable cash forecasts
- Recategorisations flow straight through to positions and Variance Analysis
- Cleaner category history means tighter projections and fewer quarter-end surprises
- The forecast reflects reality as soon as you fix the data behind it