Companies House, the government body that maintains the register of companies and incorporates all forms of companies in the United Kingdom, has disciplined 132 staff over the past three years, according to new data.
The findings were revealed via the Freedom of Information Act (FOI), and analysed by the Parliament Street think tank, observing the number of disciplinary actions taken against staff as well as the number of employees sent on compliance and ethics training each year, for the past three years.
In total, disciplinary action was taken against 132 staff over the period, with Companies House attributing these to breaches of internal policies, including attendance management, grievance, performance, disciplinary and probation.
The news comes following a major tech glitch on the UK’s official corporate register permitted people to access other companies’ details by pressing the back key on the site’s dashboard.
The department also outlined that 12,684 training courses on compliance and ethics were completed by Companies House employees and contractors over the three-year period, as part of mandatory annual learning.
Ritesh Singhania, CEO at Zango AI, said: “In an AI-driven world, compliance malpractice will soon become inexcusable, as organisations harness agentic tools to ensure robust adherence to the rules. Far too many financial services firms are still relying on manual processes for complex regulatory tasks, which opens opportunity for breaches, resulting in heavy fines and reputational damage.”
Within the training, staff were expected to complete modules on Counter Fraud, Bribery and Corruption, Security and Data Protection, Government Security Classification Policy, Health and Safety, and Civil Service Expectations.
A Companies House spokesperson said: “As a modern Civil Service employer with approximately 2,400 staff we have robust procedures in place to address misconduct or poor performance.”
Raj Abrol, CEO of AI firm Galytix, added: “AI adoption will fix many of these problems, allowing organisations to reduce risk and automate complex tasks to reduce human error.”