ECDA / CONSULTING
AI & business strategy
Value before tools.
AI changes what is possible. Executives decide where it creates value and what responsibilities come with it.
From potential to decision.
Objectives, readiness and responsibility belong together.
A basis for decisions
Assess opportunities and limitations from a business perspective; define measurable goals and priorities.
A realistic transformation path
Consider organisation, data, capabilities and governance together. Evaluate vendors and tools independently.
Prioritise value opportunities
Evaluate business goals and specific use cases together. We prioritise where AI can create verifiable value.
Build a sound data foundation
Clarify availability, quality and access boundaries for the required data. Check assumptions before scaling.
Governance and accountability
Design decision paths, ownership and human oversight to fit each AI use case.
Build organisational capability
Develop roles, collaboration and required skills. Embed the use of AI in day-to-day work.
Assess tools independently
Assess technology options against the task. Consider integration, operations and dependencies.
Experiment, measure and learn
Start with bounded initiatives. Assess results against agreed criteria and use the evidence to choose the next step.