149 posts tagged with "Playbook"

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

An Executive Data and AI Leader is not only responsible for internal strategy, delivery, governance and capability development. They also act as a visible representative of the firm in the external market.

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.

A me-too business model is a lost opportunity. For startups, the model is not an afterthought to the product — it is often as disruptive as the technology, and more durable when incumbents cannot copy your DNA.

Raising money is like sex, relationships, and money itself: people want to know about it, few talk openly about it, and it can get unnecessarily complicated. It need not. The real work is deciding whether you should raise at all — then building a trajectory that keeps you funded until the company can stand on its own.