AI Strategy
A comprehensive plan defining how an organisation will adopt and leverage AI to achieve business objectives.
In-Depth Explanation
An AI strategy is a roadmap that aligns AI initiatives with business goals, defining priorities, resources, governance, and expected outcomes. It ensures AI investments deliver value rather than being technology for technology's sake.
AI strategy components:
- Vision: What AI will enable for the business
- Use case portfolio: Prioritised AI opportunities
- Technology choices: Build vs buy, platforms, tools
- Data strategy: Data requirements and management
- Talent plan: Skills needed and how to acquire
- Governance: Ethics, risk, compliance frameworks
- Roadmap: Phased implementation plan
- Metrics: How success will be measured
Strategy development process:
- Assess current state and AI readiness
- Identify and prioritise opportunities
- Define target state and roadmap
- Plan capabilities (data, talent, technology)
- Establish governance frameworks
- Create implementation plan
Common strategic approaches:
- Start small, prove value, scale
- Focus on quick wins vs. transformational
- Build capabilities vs. outsource
- Centralised vs. federated AI team
Business Context
Organisations with clear AI strategies achieve 3x better outcomes than those pursuing ad-hoc initiatives. Strategy prevents wasted investment and missed opportunities.
How Clever Ops Uses This
We help Australian businesses develop practical AI strategies that align with business priorities and set realistic expectations for value realisation.
Example Use Case
"Developing a 3-year AI strategy that starts with customer service automation, builds internal capabilities, then expands to operations and product enhancement."