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    Framework Guide

    AI Opportunity Scoring Model (Step-by-Step Guide)

    An AI opportunity score is a structured way to prioritise automation opportunities based on impact, effort, and feasibility. It helps identify which opportunities deliver the highest return with the lowest complexity.

    Not all automation opportunities are equal.

    12 min read•Scoring model + formula•3 worked examples

    The AI Opportunity Scoring Model

    Every automation opportunity can be evaluated across three dimensions. Together, they determine priority.

    Impact

    • • Time saved
    • • Cost reduction
    • • Revenue potential

    Effort

    • • Implementation complexity
    • • Integration requirements
    • • Time to deploy

    Feasibility

    • • Data availability
    • • Process stability
    • • Technical constraints

    Definition: The AI Opportunity Scoring Model is a method for prioritising automation opportunities by evaluating impact, effort, and feasibility to determine which initiatives deliver the highest return with the lowest complexity.

    The Scoring Formula

    Opportunity Score = (Impact × Feasibility) ÷ Effort

    Highest priority: High impact + high feasibility + low effort

    Lowest priority: Low impact + high effort

    This is the core formula consultants use to rank automation opportunities.

    Example: Opportunity Scoring

    This is what opportunity scoring looks like in practice.

    Invoice Automation

    Manual invoice data entry from email to ERP system

    Impact
    9/10
    Effort
    4/10
    Feasibility
    8/10
    (9 × 8) ÷ 4 = 18

    This represents a high-priority automation opportunity.

    High Priority vs Low Priority

    High Priority

    • ✓ High impact
    • ✓ Low effort
    • ✓ High feasibility

    Low Priority

    • ✗ Low impact
    • ✗ High effort
    • ✗ Low feasibility

    Prioritisation is what turns ideas into results.

    Why You Need a Scoring Framework

    Clients don't buy "automation opportunities." They buy prioritised, defensible recommendations backed by clear reasoning. Without a systematic scoring approach, your recommendations look like opinions. With one, they become strategic guidance.

    The Opportunity Intelligence Score (OIS) gives you a repeatable method to evaluate every opportunity you uncover during an AI discovery call. It considers five key dimensions that matter to decision-makers: Impact, Effort, Frequency, Risk, and Dependencies.

    The 5 Scoring Dimensions (Detailed)

    Each dimension is scored 1–5 and weighted based on importance to implementation success.

    Impact

    30% weight

    Business value potential of the automation opportunity

    1
    Minimal
    Less than $1,000/year in savings or revenue impact
    2
    Low
    $1,000-$5,000/year in value
    3
    Moderate
    $5,000-$25,000/year in value
    4
    High
    $25,000-$100,000/year in value
    5
    Critical
    Over $100,000/year or strategic importance

    Effort

    25% weight

    Implementation complexity and resource requirements

    1
    Minimal
    1-2 hours, no-code solution, single person
    2
    Low
    1-2 days, simple integration, minimal testing
    3
    Moderate
    1-2 weeks, some custom development
    4
    High
    1-2 months, significant development, multiple systems
    5
    Very High
    3+ months, major infrastructure changes

    Frequency

    20% weight

    How often the process runs and impacts operations

    1
    Rare
    Annually or less frequent
    2
    Occasional
    Monthly or quarterly
    3
    Regular
    Weekly
    4
    Frequent
    Daily
    5
    Continuous
    Multiple times per day or real-time

    Risk

    15% weight

    Potential failure, compliance, or business continuity concerns

    1
    Very Low
    No compliance requirements, easily reversible
    2
    Low
    Minor business impact if issues occur
    3
    Moderate
    Some compliance or quality implications
    4
    High
    Significant compliance or financial risk
    5
    Critical
    Major regulatory, legal, or operational risk

    Dependencies

    10% weight

    Integration requirements and system interconnections

    1
    Standalone
    No external dependencies
    2
    Simple
    1-2 well-documented API integrations
    3
    Moderate
    3-5 systems, some custom work needed
    4
    Complex
    Multiple legacy systems, limited APIs
    5
    Very Complex
    Enterprise-wide integration, data migration

    The OIS Formula

    OIS = (Impact × 0.30) + ((6-Effort) × 0.25) + (Frequency × 0.20) + ((6-Risk) × 0.15) + ((6-Dependencies) × 0.10)

    Note: Effort, Risk, and Dependencies are inverted (6-score) because lower values are better for these dimensions.

    The resulting OIS ranges from 1.0 to 5.0, with higher scores indicating better opportunities to pursue first. Use the AI ROI calculation framework to translate these scores into financial value.

    Worked Examples

    See how the framework applies to real-world automation opportunities.

    Invoice Processing Automation

    Manual invoice data entry from email to ERP system

    Example 1
    impact
    4
    effort
    2
    frequency
    5
    risk
    2
    dependencies
    2
    OIS = (4×30% + (6-2)×25% + 5×20% + (6-2)×15% + (6-2)×10%) = 1.2 + 1.0 + 1.0 + 0.6 + 0.4 = 4.2

    Quick Win — High value, low effort. Prioritise for Phase 1.

    Customer Onboarding Flow

    End-to-end new customer setup across 5 systems

    Example 2
    impact
    5
    effort
    4
    frequency
    3
    risk
    3
    dependencies
    4
    OIS = (5×30% + (6-4)×25% + 3×20% + (6-3)×15% + (6-4)×10%) = 1.5 + 0.5 + 0.6 + 0.45 + 0.2 = 3.25

    Strategic Initiative — High impact but complex. Plan for Phase 2–3.

    Weekly Report Generation

    Manual compilation of metrics from 3 sources

    Example 3
    impact
    2
    effort
    1
    frequency
    3
    risk
    1
    dependencies
    2
    OIS = (2×30% + (6-1)×25% + 3×20% + (6-1)×15% + (6-2)×10%) = 0.6 + 1.25 + 0.6 + 0.75 + 0.4 = 3.6

    Quick Win — Easy implementation, moderate value. Good for early momentum.

    Quadrant Mapping

    Use OIS scores to categorise opportunities into actionable buckets.

    Quick Wins

    OIS 4.0–5.0

    High impact, low effort opportunities. Start here.

    Strategic Initiatives

    OIS 3.0–4.0 (High Impact)

    Worth the investment but requires planning.

    Fill-Ins

    OIS 3.0–4.0 (Low Impact)

    Consider when resources are available.

    Backlog

    OIS Below 3.0

    Low priority. Revisit when circumstances change.

    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.