Case Study: Accountancy Cloud achieves 98%‑accurate automated Xero transaction classification and rapid production AI with Kortical

Automating Accounting with AI and Machine Learning

Accountancy Cloud, a fast‑growing tech accounting start-up, needed to automate bookkeeping in Xero by classifying Plaid transactions without manual matching. They chose Kortical and its AI-as-a-service platform to train NLP models on historical Plaid data and Xero classifications to remove the need for people to assign account codes.

Kortical ingested and cleaned the data, created NLP embeddings and category encodings, ran automated model search and training (thousands of models) and delivered an explainable, scalable model accessible via REST API with built‑in failover and SLA. Kortical produced an initial ML model in two weeks (≈95% accuracy) and a production-ready solution in six months that reached 98% accuracy, automating transaction classification, speeding up Accountancy Cloud’s service and continuously improving via self-learning.

Accountancy Cloud