49 posts tagged with "Governance"

A Big Four firm does not compete only through its technical expertise, global network, technology platforms or client relationships. Its most valuable asset is trust.

Clients trust the firm with commercially sensitive information, strategic decisions, financial records, personal data and complex regulatory matters. Regulators trust the firm to exercise professional judgement and uphold required standards. Investors, employees, governments and the wider public expect the firm to behave responsibly, independently and ethically.

One of the most important responsibilities of an executive leader is to remove obstacles that prevent teams from delivering meaningful outcomes.

Data and AI create significant opportunities for growth, operational improvement, better decision-making and new client services. However, these opportunities also introduce risks that are different from, and often more complex than, those associated with traditional technology.

Leadership is not simply the ability to manage people, approve work, attend meetings, or communicate confidently. One of the most important responsibilities of a leader is to create direction.

Direction tells people what the organisation is trying to achieve, why the goal matters, which problems deserve attention, what should be done first, what should not be done, how success will be measured, and who is accountable for delivering the outcome.

Exceptional leaders do not simply wait for opportunities to appear in the sales pipeline. They identify important changes before the market fully understands them, define the problems clients will soon need to solve and build the capabilities required to lead the response.

One of the most important responsibilities of an Executive Data and AI Leader in a Big Four firm is to shape major client opportunities.

A Big Four firm should establish a regional Data & AI Centre of Excellence to coordinate how Data and AI transform internal operations, embed into client services, convert into scalable commercial propositions, and operate under trusted governance—without becoming a disconnected innovation laboratory.

Information security for AI should not exist as a pile of threat models, vendor questionnaires and one-off pen tests. ISO/IEC 27001 establishes an organisation-wide Information Security Management System—scope, policy, risk assessment, control selection, operation, audit, management review and continual improvement—so confidentiality, integrity and availability remain enforceable when models, retrieval systems, agents and suppliers change.

This is the Governance article for applying the EU AI Act on live work. Use it as a working playbook: define the system, map roles, screen prohibitions, classify risk, build the control and evidence pack, then calendar the dates that bind you.

The OWASP Top 10 for LLM Applications is not a reading list. It is a release language: every generative-AI system that touches tools, retrieval, personal data or production users should map risks, implement controls, test them and accept residual risk before scale.