Case Study: Deloitte achieves 50x tax-processing productivity and human-level accuracy with Kortical

Deloitte Tax Automation Using AI and Machine Learning

Deloitte needed to automate a complex tax-computation process—preserving auditability and domain expertise while dramatically reducing manual effort and maintaining human‑level accuracy. They engaged Kortical and its Kortical platform, starting with a 4‑week POC to prove the ability of AI/ML to deliver accurate, scalable automation for their tax workflow.

Kortical implemented a cloud‑scale AutoML solution integrated via REST APIs into Deloitte’s application, with a human‑in‑the‑loop UX and full MLOps for testing, deployment and continuous learning. Delivered in a six‑month build, the Kortical solution achieved human‑level (>90%) accuracy, reduced processing from 5 hours to 6 minutes (a 50x productivity gain), sped deployment well ahead of industry averages, and enabled Deloitte’s team to operate and extend the models independently.

Deloitte

Howard Cooke

Partner