AI Strategy FAQ
How long does it take to develop an AI strategy?
Quick answer
Timing depends on the decisions required, the availability of people and records, and the organisation’s governance process. Agree the scope first: an initial assessment, a board-approved strategy and a completed rollout are different pieces of work. Acuity confirms milestones and deliverables before starting.
What happens during strategy development
The first phase is diagnostic: understanding what AI is already in use, what the organisation’s business objectives are, where capability gaps exist, and what the regulatory landscape looks like for this specific organisation. This typically involves structured interviews with the leadership team, a review of existing technology and process documentation, and an assessment of data quality and governance maturity. The second phase is strategy development: working through the diagnostic findings to identify the priority use cases, governance requirements, and capability investments. The third phase produces the deliverables: a written AI strategy document, a governance framework, and an implementation roadmap with sequenced actions and timescales. With an experienced external advisor, this process does not require the organisation to pause its operations — it is designed to fit around the leadership team’s existing commitments.
Why rushing AI strategy development is a false economy
Allow time to verify the starting position and involve the people who will own delivery. Set a decision date, identify the information needed and agree how unresolved issues will be handled. An initial roadmap can be useful before every implementation detail is settled, provided its assumptions are explicit.
Acuity agrees the scope, fee and delivery milestones for each strategy engagement. See our AI strategy services.