This is the phase in which the selected alternative or policy is put into practice.
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Objectives of the phase
- Execute the chosen decision in a real-world context.
- Translate plans and recommendations into concrete actions.
What to expect in this phase
This phase typically involves:
- Detailed planning of actions, timelines, and responsibilities.
- Coordination between different actors and organisations.
- Allocation of financial, human, and technical resources
This is typically a phase carried out by the problem owner, but the stakeholders should be kept informed about the actions being taken. Even if this phase is an essential part of a decision analysis process, the topics discussed here are generally applicable to any implementation process of an alternative.
Outcome of the phase: The chosen alternative is implemented in practice.
Follow up Questions to ask the AI
Ask the following questions to get more information from the AI.
- What are the key steps in implementing a decision or policy?
- What are common barriers to implementation and how can they be addressed?
- What are good practices for adaptive implementation?
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Benefits and Risks of Using AI
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Benefits (+)
- Supporting planning of implementation steps and timelines.
- Identifying potential risks, bottlenecks and resource gaps.
- Assisting in coordination and task allocation.
Benefit Scoring: + Low
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Risks (!)
- Over reliance on generic implementation advice without context-specific understanding.
- Lack of accountability if AI-generated plans are followed without scrutiny.
- False sense of control or predictability in complex implementation environments.
- Potential misalignment between AI suggestions and stakeholder realities.
Risk Scoring: ! Low
Questions to Better Understand the Benefits and Risks of AI
Questions to make use of the benefits
Prerequisite for each of these questions is that a decision has been approved on the alternative to be implemented.
- Can you develop an implementation plan for the selected alternative and describe the potential risks and challenges during implementation?
- Can you propose mitigation measures for potential implementation barriers?
Note on all the above questions: The stakeholders and/or facilitator should always validate the results, and AI can make misinterpretations of the provided information
Questions to avoid the risks
- What are the key risks of using AI in supporting implementation?
Understanding of the risks is essential in terms of successfully carrying out the DA process
- Why is contextual knowledge critical during implementation?
Questions NOT to ask
- [If there has been not provided enough information] Make an implementation plan for this decision.
Implementation requires human oversight, responsibility, and contextual judgment