The Opportunity Score Framework
A structured method for prioritising AI and automation investments.
Used by AI consultants and agencies to move from gut feel to prioritisation in minutes.
Why Opportunity Scoring Matters
Most organisations have dozens of processes that could benefit from automation. Without a scoring framework, prioritisation becomes a political exercise where whoever shouts loudest wins.
The Opportunity Score Framework gives consultants an objective, repeatable method to evaluate and rank automation candidates. It creates alignment across stakeholders, speeds up scoping, and strengthens the business case.
The Four Scoring Dimensions
Each opportunity is scored 0–10 across four dimensions.
Impact
How much value would automation generate?
Consider
- • Time saved per week across the team
- • Error reduction and rework avoided
- • Revenue impact (faster turnaround, fewer lost deals)
- • Compliance or risk reduction
Score guide
- 1–3Minor efficiency gain
- 4–6Meaningful time saving
- 7–9Significant cost or revenue impact
- 10Transformational
Effort
How hard is this to implement?
Consider
- • Technical complexity of the process
- • Number of systems involved
- • Data quality and availability
- • Change management required
Score guide
- 1–3Complex, multi-system, high risk
- 4–6Moderate complexity
- 7–9Straightforward integration
- 10Simple, well-defined process
Urgency
How time-sensitive is this?
Consider
- • Is there a regulatory deadline?
- • Is this a current bottleneck affecting revenue?
- • Is a competitor already doing this?
Readiness
Is the organisation ready to implement?
Consider
- • Data quality and availability
- • Stakeholder buy-in
- • Existing tech infrastructure
- • Team capacity to support the change
Calculating the Opportunity Score
Simple version
Consultants typically weight Impact and Effort most heavily, because they have the largest influence on whether the project ships and delivers value.
Weighted version (recommended)
Interpreting the Score
Use the score to translate the framework into action.
| Score | Priority | Recommended action |
|---|---|---|
| 8.0 – 10.0 | Critical | Fast-track to scoping and proposal |
| 6.0 – 7.9 | High | Include in initial project scope |
| 4.0 – 5.9 | Medium | Phase 2. Revisit after quick wins |
| 2.0 – 3.9 | Low | Monitor. May improve with readiness |
| 0 – 1.9 | Deprioritise | Not worth pursuing now |
Fast-track to scoping and proposal
Include in initial project scope
Phase 2. Revisit after quick wins
Monitor. May improve with readiness
Not worth pursuing now
How to Use This in a Client Workshop
- 1
List all candidate processes on a whiteboard or shared doc
- 2
Score each one across the four dimensions as a group
- 3
Plot them on an impact/effort matrix
- 4
Use the scores to agree on a phased roadmap
- 5
Export to Auditic to generate an ROI-backed proposal
The process typically takes 60–90 minutes for a first session covering 8–12 processes.
Download the Framework
Apply the framework in your next discovery session.
How Auditic Applies This Model
Auditic automatically scores opportunities using this model, helping consultants prioritise what actually matters. Upload your interview transcript and get scored, prioritised recommendations in minutes.
Frequently Asked Questions
What is an AI opportunity score?
An AI opportunity score is a method used to rank automation opportunities based on impact, effort, and feasibility. It provides a structured, repeatable way to decide what to automate first.
How do you prioritise AI opportunities?
By scoring each opportunity based on its potential value, complexity, and likelihood of success. The formula, Opportunity Score = (Impact × Feasibility) ÷ Effort, surfaces the highest-return, lowest-complexity opportunities first.
What makes a good automation opportunity?
High impact, low effort, and high feasibility. The best opportunities involve repetitive, high-volume processes with clear time or cost savings and minimal technical constraints.
What are the four dimensions in the Opportunity Score Framework?
Impact, Effort, Urgency, and Readiness. Each is scored 0–10. Impact and Effort are typically weighted most heavily because they have the largest influence on whether an automation project succeeds and delivers value.
Should I use the simple or weighted formula?
Use the simple average when you need a quick directional ranking in a workshop. Use the weighted formula (Impact 0.35, Effort 0.30, Urgency 0.20, Readiness 0.15) for client-facing prioritisation and business cases, where the relative importance of each dimension matters.
How long does a scoring workshop take?
A first session covering 8–12 candidate processes typically takes 60–90 minutes. After the team is familiar with the framework, repeat sessions move faster and can cover more processes in the same time.