Why Prioritising AI Use Cases Matters

Identifying the right AI initiatives isn’t just about innovation—it’s about delivering measurable business value. Without a structured prioritisation process, projects stall, budgets inflate, and ROI remains elusive. By balancing potential impact against technical feasibility, organisations can focus on AI use cases that drive maximum return and strategic differentiation.

The Identify Stage: Establishing Practical AI Use Cases

In the Identify stage of the WaiFinder Adoption framework, you move from abstract ideas to concrete initiatives. WaiFinder Adoption helps you pinpoint AI use cases that are both strategically aligned and technically feasible. By analysing your unique business needs, market conditions, and internal capabilities, the tool highlights and filters potential AI initiatives.

BXT Framework: Strategic Business Impact vs Executional Fit

When evaluating AI use cases, two dimensions guide your decision:

• Strategic Business Impact
  • Projected ROI and cost savings
  • Alignment with core business objectives and market positioning
  • Potential to unlock new revenue streams or competitive advantages
• Executional Fit
  • Data readiness and accessibility
  • Technical complexity and development effort
  • Availability of skills, tools, and budget

Use Case Evaluation with WaiFinder Adoption

• Detailed Project Briefs
• WaiFinder Adoption generates tailored BXT-aligned briefs that outline scope, success metrics, persona alignment, and required technology stack.
• Strategic Impact & Executional Fit Analysis
• Each use case is assessed for its potential business value (Strategic Business Impact) and evaluated against your organisation’s data maturity, technical skills, and budget (Executional Fit).
• Prioritisation Output
• Receive a ranked list of AI initiatives, complete with BXT scores, ready to advance into assessment, pilot, and enablement phases.

Visualising Prioritisation: Strategic Business Impact vs Executional Fit

To prioritise AI use cases effectively, WaiFinder Adoption uses a scoring matrix that evaluates each initiative across two key dimensions:

• Strategic Business Impact: The average of strategic fit and business impact
• Executional Fit: The average of user desirability and technical feasibility

Each use case is then plotted on a 2×2 matrix to determine its priority level:

Executional Fit ↓ \ Strategic Impact →	High Impact	Low Impact
High Fit	Accelerate to MVP Fast ROI, low risk	Shelve Low effort, modest gain
Low Fit	Incubate High reward, build capabilities	Research Low priority, high risk

This scoring helps MSPs and consultants quickly identify which use cases to accelerate, incubate, or deprioritise—ensuring resources are focused on initiatives with the highest potential for business value and delivery success.

Outcome: Maximum ROI and Strategic Value

By the end of the Identify stage, you’ll have a clear, actionable roadmap of AI use cases that promise the greatest return on investment. This prioritised list not only accelerates deployment but also builds stakeholder confidence in your AI strategy.

What’s Next?

Discover high-impact, feasible AI use cases with WaiFinder Adoption—book your free demo today!