AI Strategy
Strategy before tools. Antropic works with senior leadership to set the course: where AI touches the business model, which priorities deserve investment, and in what order to move.
Tool-led adoption produces collections, not advantages.
When every function adopts its own tool, the organisation accumulates licences, pilots and expectations. It rarely accumulates competitive advantage.
Pilots that fail to scale almost always share the same root: nobody decided beforehand which problems deserved solving, by what criteria, and in what order.
Strategy puts the decisions back in front of the purchases. It is work for the top, and it calls for a counterpart with no tools to sell.
CEOs and executive management
Those who must set the course for AI adoption and answer for it before the board and the market.
Strategy and transformation functions
Those who coordinate initiatives born in different functions and must bring them back to shared priorities and criteria.
Boards of directors
Those who approve the investment and need criteria to tell priorities from fashions.
From reading the context to sequencing the moves.
The journey produces a course fit for board approval, built with the institute's method and reviewed when the context changes.
The work alternates sessions with senior leadership and the institute's own analysis: a reading of the internal data available, comparison with the competitive and regulatory context, and testing of hypotheses with those who run the functions.
The course is not a document for the cupboard: it is born with its review metrics and with the conditions under which it must be reopened.
01
Reading the context
Where AI genuinely touches the organisation's business model: processes, margins, capabilities, competition.
02
Adoption priorities
A few well-chosen areas, in a reasoned order, in place of a list of initiatives competing with one another.
03
Investment criteria
Thresholds, conditions and metrics for deciding when to start, when to extend and when to stop an initiative.
04
Sequence and organisational impact
The order of the moves and their consequences for structures, roles and capabilities, before they become emergencies.
The organisation already has many AI initiatives under way: is a strategy still needed?
It is the most common case. Initiatives born from below generate learning, but without shared priorities and criteria they contend for budget and attention. The strategy does not erase them: it orders them and decides which deserve scale.
Does the strategy also say which technologies or vendors to choose?
It sets the criteria for choosing, not the names. The institute sells no technology and holds no agreements with technology vendors: its task is to put the organisation in a position to choose well, not to steer it towards a supplier.
How long does an AI Strategy engagement take?
Setting the course typically occupies a few weeks of joint work, between sessions and papers. Many organisations then continue with periodic reviews, because the technological and regulatory context keeps moving.
How do AI Strategy and AI Governance relate?
Strategy decides where to go; governance watches how to get there while respecting roles and rules. The two modules share the method and often follow one another: a clear course makes governing simpler, and the reverse.
What does senior leadership actually receive?
A course document fit for board approval: a reading of the context, reasoned priorities, investment criteria and the sequence of initiatives. Plus the private sessions in which the course is discussed and adjusted.