Process Overview

The AIVAL methodology follows a structured approach to identify, prioritise, and assess AI use cases in your organisation. This process ensures that you focus your resources on the initiatives that will deliver the most value.

However, the process is flexible and not rigid - you don't need to follow every step if it doesn't suit your needs. At a minimum, you can simply capture and describe your use cases, then mark them as priorities or not to keep things simple. You can always expand into the more detailed steps as your AI maturity grows.

Describe your use cases at a high level. If you can, it helps to capture things like the business problem it addresses, who has that problem, and any thoughts on high level requirements. However, don't overthink it at this point.

Once you have a collection of potential use cases, the next step is to prioritise them based on:

• Business impact (potential value creation)
• Technical feasibility
• Implementation complexity
• Strategic alignment with organisational goals

The prioritisation matrix helps visualise these factors and identify which use cases should be pursued first.

Once you have prioritised your use cases, the next step is to develop detailed concepts for the most promising opportunities. This involves:

• Creating detailed problem statements and solution approaches
• Defining success criteria and key performance indicators
• Identifying required resources, skills, and technologies
• Outlining implementation timelines and milestones
• Documenting potential risks and mitigation strategies

Before committing significant resources, it's crucial to validate the feasibility of your concepts through targeted testing:

• Technical feasibility - Can the solution be built with available technology?
• Data availability and quality - Is the required data accessible and suitable?
• Resource feasibility - Do you have the necessary skills and budget?
• Organisational readiness - Is the organisation prepared for change?
• Regulatory and compliance considerations

For concepts that have proven feasible, conduct a comprehensive value assessment to quantify the potential benefits:

• Financial impact (cost savings, revenue generation)
• Operational improvements (efficiency, productivity)
• Customer experience enhancements
• Risk reduction and compliance benefits
• Strategic advantages and innovation potential

The assessment framework provides a structured approach to evaluate these dimensions and calculate an overall value score.

The AIVAL process is not a one-time exercise but a continuous cycle:

• Regularly review and update your use case inventory
• Reassess priorities as business needs and technologies evolve
• Refine value assessments based on implementation learnings
• Share success stories and lessons learned across the organisation

Now that you understand the complete AIVAL process, you're ready to start implementing it in your organisation.