We use analytics cookies to improve your experience.

    AI Opportunity Assessment (Free Tool)

    Identify high-impact automation opportunities in minutes

    How many times does this process run?

    Manual Effort

    How manual is this process?

    3
    Complexity

    How complex or variable is this process?

    3

    Opportunity Score

    26
    Low Priority

    Limited return. Focus elsewhere.

    Monthly Hours

    92

    Annual Hours

    1,100

    Estimated Annual Savings

    $27,500

    What Is an AI Opportunity Assessment?

    An AI opportunity assessment is a structured evaluation of a business process to determine whether it's a strong candidate for automation or AI implementation. It looks at four core factors: how often the process runs (frequency and volume), how long it takes (time per task), how manual it is (human effort required), and how complex or variable it is.

    The output is a single opportunity score that tells you, at a glance, whether a process is worth pursuing — and helps you prioritise across multiple opportunities.

    How the Opportunity Score Works

    Each process is scored across four dimensions:

    Volume — Higher frequency means higher automation ROI. A process that runs 100 times a day has more to gain than one that runs once a week.

    Time per task — The longer a manual task takes, the greater the time savings from automation.

    Manual effort — Fully manual processes are prime candidates. Partially automated ones may need a different approach.

    Complexity — Simpler, rule-based processes are easier and cheaper to automate. High complexity increases implementation risk and cost.

    The tool multiplies these factors to produce a score from 0–100. Processes scoring above 60 are high-priority candidates. Scores of 30–60 are worth exploring. Below 30, the return is unlikely to justify the effort.

    When to Use This Tool

    • During discovery calls — Run through 3–5 client processes live to identify quick wins.
    • Before scoping a project — Validate that the processes you're targeting justify the investment.
    • In proposals — Use the scores and estimated savings to build a business case.
    • For prioritisation workshops — Help stakeholders agree on which processes to tackle first.

    Example Automation Opportunities

    Invoice processing
    FrequencyDaily
    Volume80/day
    Time4 min

    $5,280/month

    Lead qualification
    FrequencyDaily
    Volume40/day
    Time6 min

    $3,960/month

    Customer support triage
    FrequencyDaily
    Volume120/day
    Time3 min

    $5,940/month

    Data entry workflows
    FrequencyDaily
    Volume60/day
    Time5 min

    $4,950/month

    How AI Opportunities Are Scored

    Baseline: Volume × Time per task = total hours consumed. This establishes the raw opportunity size.

    Manual effort boost: Higher manual effort means greater automation potential — the score increases.

    Complexity adjustment: Higher complexity reduces feasibility — the score decreases to reflect implementation risk.

    Opportunity Score = (Hours Impact + Manual Boost) − Complexity Penalty

    Why Most People Miss Automation Opportunities

    They focus on AI ideas instead of real processes

    They ignore volume — and volume drives ROI

    They don't quantify the actual work being done

    They skip structured assessment and rely on gut feel

    Frequently Asked Questions