Formulate an AI strategy that traces to business objectives
AI for Business Institute · D1
Leadership & Strategy
Domain 1 of the AI for Business Institute practitioner standard, built on the five canonical criteria. Formulate an AI strategy that traces to business objectives; establish a taskforce with real decision rights; prioritise and resource a roadmap that removes as well as adds; publish a policy and approval route staff will actually use; and communicate, scan and review on a defined cadence.
Not sure where to begin? Take the free 18-question mock testDomainD1
Time3.5 hours
Structure5 modules · 20 lessons
What you get
$250, and exactly what that buys.
- 5 modules, 20 lessons
One module per framework criterion, about 3.5 hours of material.
- Applied practice, not just reading
Applied scenarios, Branching decisions, Card sorting and more.
- Work at your own pace
Progress is saved as you go, so you can stop and resume on any device.
- Access that does not expire
Once bought, the course stays in your account. There is no renewal to keep it.
- Counts toward the full programme
Complete all nine domains and the Institute issues your programme completion certificate.
This does not include the accreditation exam. This course builds and evidences capability. Accreditation is a separate assessment, available with the full programme for $2,000, and the credential is awarded only if you pass it.
Why this course
Know what good looks like. Practise the decisions that make it real.
Domain 1 of the AI for Business Institute practitioner standard, built on the five canonical criteria. Formulate an AI strategy that traces to business objectives; establish a taskforce with real decision rights; prioritise and resource a roadmap that removes as well as adds; publish a policy and approval route staff will actually use; and communicate, scan and review on a defined cadence.
Capabilities
What you'll be able to do
establish a taskforce with real decision rights
prioritise and resource a roadmap that removes as well as adds
publish a policy and approval route staff will actually use
and communicate, scan and review on a defined cadence.
How you will learn
Learn. Practice. Prove.
Learn
Short, evidence-led lessons establish the standard and the reasoning behind it.
Practice
Interactive decisions, sorting and scenarios turn concepts into applied judgement.
Prove
A cumulative final exam checks mastery, followed by a spoken capstone.
Inside this courseApplied scenariosBranching decisionsCard sortingMatching exercisesPriority rankingConfidence checks
Curriculum
A concise view of the complete course.
AI strategy and business alignment
Why AI strategies collapse under board scrutiny, how objective-first gap analysis produces a defensible evidence base, what measurable alignment looks like, and how to evaluate the degree of AI integration across business functions.
AI governance structure, roles and authority
Designing an AI taskforce with named accountabilities and genuine decision rights, recognising that authority is evidenced by exercise rather than by constitution, and repairing governance that is being bypassed.
AI roadmap, resourcing and portfolio prioritisation
What separates a roadmap in use from a roadmap on a slide: prioritising a portfolio on value, readiness and risk; mapping dependencies; securing committed budget and headcount; reserving capacity for live systems; and the discipline of removing and reallocating.
AI policy framework and acceptable use
Why staff route around AI governance, how an acceptable-use policy plus a sanctioned tool plus a workable approval route removes the reason, and why time-to-decision predicts shadow AI better than policy awareness does.
Strategy communication, horizon scanning and review cadence
Translating one AI strategy for boards, managers and frontline staff; answering the job-security question honestly; running horizon scanning judged by the decisions it changes; and holding a defined review cadence that the scanning feeds.
Ready when you are